Mirsad Hadžikadić

808 total citations
56 papers, 369 citations indexed

About

Mirsad Hadžikadić is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Mirsad Hadžikadić has authored 56 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 8 papers in Sociology and Political Science. Recurrent topics in Mirsad Hadžikadić's work include Complex Systems and Time Series Analysis (5 papers), Semantic Web and Ontologies (5 papers) and Complex Systems and Decision Making (4 papers). Mirsad Hadžikadić is often cited by papers focused on Complex Systems and Time Series Analysis (5 papers), Semantic Web and Ontologies (5 papers) and Complex Systems and Decision Making (4 papers). Mirsad Hadžikadić collaborates with scholars based in United States, Bosnia and Herzegovina and Italy. Mirsad Hadžikadić's co-authors include Moutaz Khouja, David Y. Y. Yun, Andrew J. Collins, Ognjen Gajic, Li-Shiang Tsay, Hari Rajagopalan, Malak Abdullah, Nicolas W. Chbat, Samir Avdaković and Yue Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Decision Support Systems.

In The Last Decade

Mirsad Hadžikadić

54 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mirsad Hadžikadić United States 11 94 60 43 40 35 56 369
Shahid Mahmud Pakistan 7 77 0.8× 45 0.8× 19 0.4× 38 0.9× 14 0.4× 12 405
Filipe Portela Portugal 12 126 1.3× 61 1.0× 24 0.6× 38 0.9× 17 0.5× 100 571
Chantal D. Larose United States 5 145 1.5× 20 0.3× 37 0.9× 32 0.8× 20 0.6× 9 515
Mei Chen China 8 92 1.0× 15 0.3× 30 0.7× 19 0.5× 23 0.7× 19 465
Silvia Figini Italy 13 142 1.5× 51 0.8× 14 0.3× 16 0.4× 97 2.8× 53 651
Taro Kanno Japan 13 58 0.6× 34 0.6× 54 1.3× 10 0.3× 38 1.1× 59 430
Claudio Conversano Italy 11 78 0.8× 55 0.9× 27 0.6× 18 0.5× 84 2.4× 52 394
Nishita Mehta India 3 100 1.1× 35 0.6× 20 0.5× 9 0.2× 23 0.7× 7 414
Ilias Iakovidis Belgium 10 68 0.7× 30 0.5× 56 1.3× 70 1.8× 15 0.4× 23 563
Xiangnan Feng China 14 88 0.9× 34 0.6× 69 1.6× 19 0.5× 86 2.5× 38 521

Countries citing papers authored by Mirsad Hadžikadić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mirsad Hadžikadić

This figure shows the co-authorship network connecting the top 25 collaborators of Mirsad Hadžikadić. A scholar is included among the top collaborators of Mirsad Hadžikadić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mirsad Hadžikadić. Mirsad Hadžikadić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abdullah, Malak, et al.. (2022). Combating propaganda texts using transfer learning. IAES International Journal of Artificial Intelligence. 12(2). 956–956. 2 indexed citations
2.
Collins, Andrew J., et al.. (2019). Complex Adaptive Systems. ODU Digital Commons (Old Dominion University). 25 indexed citations
3.
Mašić, Izet, Miro Jakovljević, Osman Sinanović, et al.. (2018). The Second Mediterranean Seminar on Science Writing, Editing and Publishing (SWEP - 2018), Sarajevo, December 8th, 2018. Acta Informatica Medica. 26(4). 284–284. 7 indexed citations
4.
Arpan, Laura, Cali Curley, Chien Chen, et al.. (2018). Energy modeling and data structure framework for Sustainable Human-Building Ecosystems (SHBE) — a review. Frontiers in Energy. 12(2). 314–332. 10 indexed citations
5.
Hadžikadić, Mirsad, et al.. (2017). An agent-based study of herding relationships with financial markets phenomena. Winter Simulation Conference. 1204–1215. 3 indexed citations
6.
Abdullah, Malak & Mirsad Hadžikadić. (2017). Sentiment Analysis of Twitter Data: Emotions Revealed Regarding Donald Trump during the 2015-16 Primary Debates. 760–764. 13 indexed citations
7.
Hadžikadić, Mirsad, et al.. (2015). Predator-Prey Dynamics and the Red Queen Hypothesis: Putting Limits on the Evolutionary Arms Race. 2(1). 4 indexed citations
8.
Turnitsa, Charles, et al.. (2013). Proceedings of the Emerging M&S Applications in Industry & Academia / Modeling and Humanities Symposium. Spring Simulation Multiconference. 1 indexed citations
9.
Dong, Yue, Nicolas W. Chbat, Ashish Gupta, Mirsad Hadžikadić, & Ognjen Gajic. (2012). Systems modeling and simulation applications for critical care medicine. Annals of Intensive Care. 2(1). 18–18. 26 indexed citations
10.
Pickering, Brian W., et al.. (2009). Medical Informatics: An Essential Tool for Health Sciences Research in Acute Care. Bosnian Journal of Basic Medical Sciences. 9(1). S34–S39. 8 indexed citations
11.
Khouja, Moutaz, Mirsad Hadžikadić, Hari Rajagopalan, & Li-Shiang Tsay. (2007). Application of complex adaptive systems to pricing of reproducible information goods. Decision Support Systems. 44(3). 725–739. 29 indexed citations
12.
Hadžikadić, Mirsad, et al.. (1996). Concept formation vs. logistic regression: predicting death in trauma patients. Artificial Intelligence in Medicine. 8(5). 493–504. 10 indexed citations
13.
Hadžikadić, Mirsad, et al.. (1995). Information, intelligence, and interface: the pillars of a successful medical information system.. PubMed. 8 Pt 2. 1589–1589. 1 indexed citations
14.
Hadžikadić, Mirsad, et al.. (1995). Extracting Knowledge from Large Medical Databases: An Automated Approach. Computers and Biomedical Research. 28(3). 191–210. 13 indexed citations
15.
Hadžikadić, Mirsad, et al.. (1995). Concept formation vs. logistic regression: predicting death in trauma patients.. PubMed. 198–202. 1 indexed citations
16.
Hadžikadić, Mirsad, et al.. (1990). Spatial Reasoning: Learning from Observations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1198. 247–247. 1 indexed citations
17.
Hadžikadić, Mirsad & David Y. Y. Yun. (1989). Concept formation by incremental conceptual clustering. International Joint Conference on Artificial Intelligence. 831–836. 21 indexed citations
18.
Hadžikadić, Mirsad & David Y. Y. Yun. (1988). Concept Formation by Goal-Driven, Context-Dependent Classification.. 322–332. 3 indexed citations
19.
Hadžikadić, Mirsad, et al.. (1987). A model-based framework for characterization of application domains for the expert system technology. 64–72.
20.
Hadžikadić, Mirsad, et al.. (1986). An application of knowledge-base technology in education: a geometry theorem prover. 141–147. 1 indexed citations

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.

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