Mirsad Hadžikadić
Impact in
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- Stock Market Forecasting Methods
- Complex Systems and Decision Making
- Health Information Management top 10%
Papers in
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- Semantic Web and Ontologies 5
- Machine Learning in Healthcare 4
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- Complex Systems and Decision Making 4
- Co-authors
- Samir Avdaković (2 shared papers)Moutaz Khouja (4 shared papers)David Y. Y. Yun (4 shared papers)Andrew J. Collins (1 shared paper)Ognjen Gajic (2 shared papers)Li-Shiang Tsay (1 shared paper)Hari Rajagopalan (1 shared paper)Malak Abdullah (2 shared papers)
- Journals
- Artificial Intelligence in Medicine (2 papers)Simulation Modelling Practice and Theory (1 paper)Complexity (1 paper)Advances in Complex Systems (1 paper)Systems Research and Behavioral Science (1 paper)
- Partner nations
- United StatesBosnia and HerzegovinaItaly
In The Last Decade
Mirsad Hadžikadić
54 papers receiving 350 citations
Peers
Comparison fields: 5 of 112
- Management Science and Operations Research 61
- Health Information Management 13
- Artificial Intelligence 95
- Marketing 27
- Computer Vision and Pattern Recognition 40
Countries citing papers authored by Mirsad Hadžikadić
This map shows the geographic impact of Mirsad Hadžikadić's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mirsad Hadžikadić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirsad Hadžikadić more than expected).
Fields of papers citing papers by Mirsad Hadžikadić
This network shows the impact of papers produced by Mirsad Hadžikadić. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mirsad Hadžikadić. The network helps show where Mirsad Hadžikadić may publish in the future.
Co-authors
The 25 scholars most cited alongside Mirsad Hadžikadić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 29 | |
| 2 | 2012 | 26 | |
| 3 | 2019 | 26 | |
| 4 | 2018 | 23 | |
| 5 | Concept formation by incremental conceptual clustering | 1989 | 21 |
| 6 | 2016 | 16 | |
| 7 | 2017 | 14 | |
| 8 | 1995 | 13 | |
| 9 | 2007 | 13 | |
| 10 | 2017 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 1996 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2009 | 8 | |
| 18 | 2010 | 8 | |
| 19 | 1997 | 8 | |
| 20 | 2018 | 7 |
About Mirsad Hadžikadić
Mirsad Hadžikadić is a scholar working on Artificial Intelligence, Management Science and Operations Research, Sociology and Political Science, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 56 papers that have together received 376 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Complex Systems and Time Series Analysis (5 papers), Machine Learning in Healthcare (4 papers), Complex Systems and Decision Making (4 papers), Opinion Dynamics and Social Influence (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Artificial Intelligence in Healthcare (3 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Management Science and Operations Research (61 citations), Health Information Management (13 citations), Artificial Intelligence (95 citations), Marketing (27 citations) and Computer Vision and Pattern Recognition (40 citations). Mirsad Hadžikadić has collaborated with scholars based in United States, Bosnia and Herzegovina and Italy. Frequent co-authors include Samir Avdaković, Moutaz Khouja, David Y. Y. Yun, Andrew J. Collins, Ognjen Gajic, Li-Shiang Tsay, Hari Rajagopalan, Malak Abdullah, Yue Dong and Ashish Gupta. Their work appears in journals such as Artificial Intelligence in Medicine, Simulation Modelling Practice and Theory, Complexity, Advances in Complex Systems and Systems Research and Behavioral Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.