A scientific analysis of the citations of world scientists was published on October 19, 2021 on the website of the publisher Elsevier. The analysis, conducted by Professors John PA Ioannidis, Kevin W. Boyack and Jeroen Baas of Stanford University in California (USA), contains a publicly available database with information on more than 100,000 top scientists, including standardized citation information, h-index, hm-index suitable for co-authorship, citations of articles in different positions of authors and cumulative indicators of citation impact. Separate data (2020) are presented for the impact of career citations and for one year.
Elsevier singled out 190,064 scientists who achieved the best result in citations in 2020, and thus ranked among the 2% of scientists with the greatest impact measured by the number of citations. There are 77 scientists from the Republic of Croatia on that list for 2020. Citation was measured by data from the Scopus scientific database.
On the list of the most cited scientists from the Faculty of Economics and Business in Zagreb is prof.dr.sc. Mirjana Pejić Bach. The largest number of citations Professor Mirjana Pejić Bach made was in the field of Artificial Intelligence & Image Processing, for which she is among the 1.35% of scientists with the greatest impact of citations.
Mirjana Pejić Bach is a full professor at the Department of Informatics, Faculty of Economics and Business in Zagreb. She holds a PhD in system dynamics modeling from the Faculty of Economics and Business, University of Zagreb. She studied at the MIT Sloan School of Management in the field of systems dynamics and at OliviaGroup in the field of data mining. She is the leader and collaborator of numerous projects in which she cooperates with Croatian companies and international organizations, especially through European Union projects and the bilateral research framework. She has been awarded national and international prizes for her work, both for its quality and for citations.
Her areas of research are strategic application of information technology in business, data science and simulation modeling. She focused her research on research methodology, both qualitative and quantitative, especially the methods of artificial intelligence and machine learning, the methods of multivariate statistics and modeling with structural equations. She is the editor of several scientific journals indexed in the Scopus and WoS databases. She has organized numerous conferences, such as “Privacy in Statistical Databases 2016” (PSD 2016) under the auspices of the UNESCO Chair in Data Privacy, and given plenary lectures at congresses, such as IEEE Systems. She has won several international awards for her scientific work, such as the Emerald Literati Network Awards for Excellence.
The main goal of her work is to work with young people through mentoring doctoral theses and developing the scientific career of young scientists.
Selected papers in the field of data science and smart technologies published in the last three years:
Elsevier singled out 190,064 scientists who achieved the best result in citations in 2020, and thus ranked among the 2% of scientists with the greatest impact measured by the number of citations. There are 77 scientists from the Republic of Croatia on that list for 2020. Citation was measured by data from the Scopus scientific database.
On the list of the most cited scientists from the Faculty of Economics and Business in Zagreb is prof.dr.sc. Mirjana Pejić Bach. The largest number of citations Professor Mirjana Pejić Bach made was in the field of Artificial Intelligence & Image Processing, for which she is among the 1.35% of scientists with the greatest impact of citations.
Mirjana Pejić Bach is a full professor at the Department of Informatics, Faculty of Economics and Business in Zagreb. She holds a PhD in system dynamics modeling from the Faculty of Economics and Business, University of Zagreb. She studied at the MIT Sloan School of Management in the field of systems dynamics and at OliviaGroup in the field of data mining. She is the leader and collaborator of numerous projects in which she cooperates with Croatian companies and international organizations, especially through European Union projects and the bilateral research framework. She has been awarded national and international prizes for her work, both for its quality and for citations.
Her areas of research are strategic application of information technology in business, data science and simulation modeling. She focused her research on research methodology, both qualitative and quantitative, especially the methods of artificial intelligence and machine learning, the methods of multivariate statistics and modeling with structural equations. She is the editor of several scientific journals indexed in the Scopus and WoS databases. She has organized numerous conferences, such as “Privacy in Statistical Databases 2016” (PSD 2016) under the auspices of the UNESCO Chair in Data Privacy, and given plenary lectures at congresses, such as IEEE Systems. She has won several international awards for her scientific work, such as the Emerald Literati Network Awards for Excellence.
The main goal of her work is to work with young people through mentoring doctoral theses and developing the scientific career of young scientists.
Selected papers in the field of data science and smart technologies published in the last three years:
- Pejić Bach, M., Bertoncel, T., Meško, M., & Krstić, Ž. (2020). Text mining of industry 4.0 job advertisements. International journal of information management, 50, 416-431.
- Jerman, A., Pejić Bach, M., & Aleksić, A. (2020). Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science, 37(2), 388-402.
- Pejić Bach, M., Krstić, Ž., Seljan, S., & Turulja, L. (2019). Text mining for big data analysis in the financial sector: A literature review. Sustainability, 11(5), 1277.
- Jerman, A., Pejić Bach, M., & Bertoncelj, A. (2018). A bibliometric and topic analysis on future competencies at smart factories. Machines, 6(3), 41.
- Pejić Bach, M., Zoroja, J., & Čeljo, A. (2017). An extension of the technology acceptance model for business intelligence systems: project management maturity perspective. International Journal of Information Systems and Project Management, 5(2), 5-21.
The analysis of scientists in the world with the highest impact of citations in 2020 was published on October 19, 2021, and is available at the link Updated science-wide author databases of standardized citation indicators.