Ali Mansouri is an associate professor in the Department of Knowledge and Information Science. Faculty of education and Psychology, University of Isfahan. He has finished his PhD in Library and Information Science at University of Shaid Chamran in 2013 and has worked as a lecturer in the department of KIS in 2013. His main research interests are Scientometrics, Data Science, and Science and Technology studies.11111
main research interests are Scientometrics, Data Science, and Science and Technology studies.
Technology studiesScienceData ScienceScientometrics
Data Science
- Ph.D., Librarianship and Information, Shahid Chamran [Ahvaz - Iran]
- Master's degree, Librarianship and Information, Shahid Chamran [Ahvaz - Iran]
- Bachelor, Librarianship and Information, Shiraz [Shiraz - Iran]
Introduction to the scientometrics
Database Architecture
Digital Library Design
Data Sience
Introduction to the scientometricsDatabase ArchitectureDigital Library DesignData Sience
Articles
Scientometrics Research Journal (24235563)((شماره 2، پاییز وزمستان))pp. 115-138
Purpose: Given that university-industry cooperation is associated with the transfer of knowledge and technology, one of the key indicators of a country's development is the effectiveness of collaboration between universities and industry. Due to the significance of this topic, the present article seeks to analyze the state of cooperation between Iranian universities and industry based on the co-publication of articles indexed in the Web of Science database from 2010 to 2022, particularly in terms of financial support. The findings of this research will inform national policymakers and planners about the current state of university-industry cooperation in Iran, enabling them to devise appropriate strategies to enhance this collaboration.
Methodology: The research method employed in this study is both descriptive and quantitative, utilizing scientific techniques such as word co-occurrence analysis. The statistical population for this research comprises 2,891 articles. This study encompasses all articles that received financial support, focusing on the collaboration between universities and industry in Iran from 2010 to 2022; therefore, no sampling method was applied. Instead, a census sampling method was utilized. To examine the collaboration between universities and industry through scientific publications (articles), each article must include at least one author affiliated with an industrial organization and one author affiliated with an academic institution, both of whom must have a financial sponsor. Specific labels were used to identify the organizations involved. Data collection was conducted using the Web of Science database, and the data were analyzed and visualized using BibExcel and VOSviewer software.
Findings: According to the findings of the current research, the highest number of financial supports for cooperation between industries and universities in Iran was recorded in 2021, with 430 articles published. In contrast, the lowest number was recorded in 2010, with only 89 articles. On the international front, 78 countries have co-published with Iran, with the United States leading in the number of collaborative articles. Other countries that have engaged in significant cooperation with Iran include England, Canada, Australia, France, New Zealand, China, Germany, Italy, and Russia are other countries that have had a large number of cooperation cases in Iran. The data related to financial support institutions showed that the National Iranian Oil Company along its subsidiaries (9.79%); Iran National Petrochemical Company along its subsidiaries (4.74%); Support fund for researchers and technologists (4.08%); Islamic Azad University (3.22%); National Gas Company and its subsidiaries (3.18%); University of Tehran with (2.94%); and Tehran University of Medical Sciences (2.80%) have provided the most financial support. Out of a total of 251 subject areas of Web of Science, 151 areas have received financial support in cooperation between the university and the industry. Based on thematic analysis, chemical engineering fields (10.27%); environmental sciences and materials science (4.28%); energy and fuels (4.21%); and water resources (3.65%), are the most used topics in the articles.
Conclusion: The annual growth rate of articles receiving financial support indicates that the 13-year collaboration between universities and industry has experienced significant fluctuations, with some years witnessing a decline. Furthermore, the leading industries providing financial sponsorship include oil, petrochemicals, and gas. Most of these companies are supported by government organizations and are among the most profitable in the country. Consequently, a substantial portion of the investments in this collaboration is derived from the government budget. In terms of the subjects covered in the articles, the results reveal that, while the fields are diverse and extensive, there is a noticeable absence of certain topics, particularly in the humanities and social sciences.
Scientometrics Research Journal (24235563)((شماره 1، بهار و تابستان ))pp. 121-154
Purpose: Given the significance of universities, their rankings, research outputs, and the impact of leading researchers in the field, the research aims to address the following questions: 1. What factors do top researchers adhere to in order to achieve success in their endeavors? 2. What factors will the university follow, based on the experiences of top researchers, to ensure success in their research activities? 3. How can students be effective in their research activities based on the experiences of top researchers?
Methodology: The current research is of an applied nature and utilizes the qualitative content analysis method. The research community included all the working and retired faculty members of Isfahan University. A total of 40 individuals (5 women and 35 men) were selected using purposeful and snowball sampling. Based on data from the SciVal database, the top 10 researchers at the university were identified in terms of the number of international outputs (ranging from 243 to 87) and citations (ranging from 3690 to 1037). These researchers come from various fields. Additionally, using the Research Specialists database, other top researchers at the university were identified through interviews conducted using the snowball method. These researchers were selected based on their quality research, social impact, effective scientific communication, fundraising abilities, collaboration with other institutions and organizations, engagement with the industry, mentorship of selected students, and effective management and entrepreneurship in the field of research. The interview was terminated when the data reached saturation and repetition, and no new points were extracted from the content of the subsequent interviews. A semi-structured face-to-face interview was conducted to gather the opinions of the participants in the research. The findings were analyzed in three stages: open coding (extraction of sub-components), central coding (formation of components), and selective coding (selection of concepts) using MAXQDA 2020 qualitative data analysis software.
Findings: The items mentioned by the participants in the interviews as factors influencing success in research activities can be categorized into three concepts based on their frequency and importance: factors related to faculty members (265 codes), university-related factors (244 codes), and factors related to students (12 codes). Each concept includes various components. The factors related to faculty members include students, individual characteristics and motivation, scientific communication, research orientation and purpose, research area, industry and society relationships, skills, research outputs, adherence to professional ethics, and thesis. The components related to the university factor include communication with industry and society, research policies, promotion regulations and policies, policies and programs, students, facilities and infrastructure, skill development, support and respect for faculty members, internationalization, financial issues, management, recruitment, research groups, administrative issues, and mission orientation. Skills and determination are also considered essential components of a student.
Conclusion: In order to promote research activities at both the individual and organizational levels, it is necessary to address them from various dimensions and provide comprehensive conditions. On the other hand, the university is considered a fundamental institution for this purpose, due to the expertise and knowledge of its faculty members and students. On the other hand, the activities of faculty members and students depend on the university platform. Despite the influence of the context and environmental conditions of each university in the planning process, the individual and organizational factors mentioned can be generalized to other individuals and universities facing similar conditions. These factors can also be adjusted to fit the specific context of each university. On the other hand, there are upstream factors that are policy-based and implemented at the macro level, which can be utilized and adapted to various academic institutions.
Ebrahimi dorcheh, E.,
Ebrahimi dorcheh, E.,
Ebrahimi dorcheh, E.,
Mansouri, A.,
Mansouri, A.,
Mansouri, A.,
Pashootanizadeh, M.,
Pashootanizadeh, M.,
Pashootanizadeh, M.,
Mirbagheri fard, A.A.,
Mirbagherifard, A.,
Mirbagherifard, A.,
Shabani, A.,
Shabani, A. Iranian Journal of Information Processing and Management (22518223)39(1)pp. 63-100
Considering the function of humanities and its comparison with other sciences, this research seeks to examine the scientific outputs and the weight of each evaluation criteria and indicators, and the relationship between each output and criteria in the evaluation of these sciences especially in language and literature. In terms of purpose, the research is applied, and in terms of the research implementation process it is of a sequential and exploratory type. The steps of the work are as follows: 1. Identification and weighting of scientific outputs through the three steps of the library method, conducting interviews, and the Analytical Hierarchy Process (AHP); 2. Identifying the evaluation criteria of scientific outputs with the library method; and 3. determining priorities for evaluating scientific outputs through concurrent function deployment (CFD). Based on the findings, scientific outputs were divided into two categories: 1. Formats: scientific journal article, conference article, book, research project, and dissertation/thesis; 2. Activity: in policy-making, social (scientific-promotional), social (media), and economic contexts. Evaluation criteria are also divided into 8 categories: platform for creation, presentation and publication; writing structure; content; impact in online environment; scientific impact; social impact; economic impact; and cultural impact, each of which includes indicators. Finally, outputs and criteria have been prioritized according to three approaches and goals: production of science and promotion of knowledge foundations, applicability and responsiveness to society’s problems, literary creation/creative literature. Considering the importance and necessity of different evaluation of each field and discipline according to the nature of each one as an effective factor on the application and effectiveness of their scientific outputs, research policy makers can use a new approach in decision-making and establishing policies for evaluating the scientific outputs of the language and literature fields and humanities according to the results.
Scientometrics Research Journal (24235563)11(1)pp. 25-48
Purpose: The humanities possess a unique nature compared to other science disciplines, necessitating a distinct approach to evaluating their research outputs. By analyzing the status and evolution of the evaluation components within the humanities, the primary and secondary topics, as well as their historical transformations, can be clearly identified. This analysis reveals the strengths and weaknesses of current evaluation practices, offering a foundation for more focused research and informed policy-making in the future. Therefore, this study aims to identify and comprehensively analyze the concepts related to the evaluating humanities research research outputs, thereby supporting researchers and policymakers in the field of humanities evaluation. Methodology: This research is practical in purpose and employs biblio-metric techniques. To conduct the study, articles indexed in Web of Science and Scopus related to the evaluation of humanities research (1994– 2022) were retrieved using specific objectives and search strategies. The search strategy included the following terms: ("research output" OR "scientific output") AND (humanities OR "human sciences AND (evaluation OR assessment). A total of 224 sources were selected to analysis. Following data storage and cleaning, the analysis was performed using the Bibliometrix software.Tthe two-word keywords were selected to investigation, as they contained more relevant and precise concepts compared to other keyword types. A threshold of at least six repetitions per keyword was applied, resulting in 224 keywords for analysis. Various analytical methods, including descriptive statistics, co-word analysis, network analysis, time series analysis, thematic mapping, and clustering, were employed for data analysis based on each research question. Findings: Based on the findings, the publication of papers evaluating humanities research outputs has shown an upward trend, progressing in tandem with other fields. The number of articles increased from 1 in 1994 to 45 in 2020, underscoring the significant growth of evaluation practices in the humanities in recent years. The concepts and thematic areas indicate that the evaluation methods employed in the early years were predominantly quantitative, often borrowing techniques from other sciences disciplines. However, recent trends reveal the emergence of core and widely used keywords such as effect evaluation, citation effect, Performance index, bibliography, scientific communication, research impact, and social impact. These keywords reflect a shift from a purely quantitative approach to a more integrated framework that combines both quantitative and qualitative methods. An analysis of the time series of concepts reveals that the citation index has grown significantly in the humanities sciences since 2005. While bibliometric indicators have been in use since 2002, the assessment of research impact has gained prominence more recently, particularly since 2013. Notably, metrics related to social impact and research quality shown substantial significant improvements, reflecting a shift from a focus on quantity to an emphasis on quality. Central to the field are the concepts of citation index, research performance, and research impact. The concepts of citation index, impact assessment, and journal article are among the most frequently used keywords in the field. Based on the reviewed articles, the knowledge structure of humanities evaluation comprises five clusters: 1. impact assessment, 2. citation index, 3. journal articles, 4. research performance, and 5. research articles. Among these, the impact assessment cluster contains the most concepts, the research performance cluster exhibits the highest centrality, and the research article cluster demonstrates the greatest density. The thematic map the field highlights key concepts such as research performance, bibliometric indicators, journal articles, and publication patterns. Fundamental concepts include research articles and evaluation systems, while research quality emerges as a growing area of interest. Notably, the citation index and bibliometric analysis are well-developed yet distinct concepts within the field. Conclusion: Given the significance of the human sciences, continuous evaluation is essential to enhance their standing and achieve their objectives. However, it is crucial to recognize the distinctions between the humanities and other sciences, particularly in terms of their nature and the methods used for evaluation. Therefore, when evaluating the human sciences, it is vital to employ appropriate concepts, and identifying these concepts through an analysis of existing research is key to effective research and policy-making in this field. The evaluation of humanities research outputs is dynamic and constantly evolving. As a result, stake-holders must consistently update their knowledge and practices to remain aligned with these changes. © 2025, Shahed University. All rights reserved.
