Kazim Topuz

822 total citations
25 papers, 602 citations indexed

About

Kazim Topuz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Kazim Topuz has authored 25 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 4 papers in Economics and Econometrics. Recurrent topics in Kazim Topuz's work include Machine Learning in Healthcare (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Online Learning and Analytics (3 papers). Kazim Topuz is often cited by papers focused on Machine Learning in Healthcare (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Online Learning and Analytics (3 papers). Kazim Topuz collaborates with scholars based in United States, Türkiye and France. Kazim Topuz's co-authors include Dursun Delen, Enes Eryarsoy, Ali Dağ, Mehmet Bayram Yildirim, Asil Oztekin, Leman Tomak, Ammar Almehmi, Ferhat D. Zengul, Fadel M. Megahed and Murad Moqbel and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and Journal of Management Information Systems.

In The Last Decade

Kazim Topuz

24 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazim Topuz United States 13 175 92 88 81 72 25 602
Sharan Srinivas United States 20 103 0.6× 19 0.2× 58 0.7× 119 1.5× 26 0.4× 47 1.2k
Chao Yan United States 16 310 1.8× 83 0.9× 68 0.8× 13 0.2× 94 1.3× 76 878
Päivi Hämäläinen Finland 14 204 1.2× 205 2.2× 73 0.8× 21 0.3× 31 0.4× 45 1.5k
Md. Noor‐E‐Alam United States 12 99 0.6× 35 0.4× 122 1.4× 19 0.2× 68 0.9× 44 589
Robert L. Nydick United States 17 71 0.4× 52 0.6× 593 6.7× 26 0.3× 43 0.6× 30 1.4k
Bor‐Wen Cheng Taiwan 17 178 1.0× 38 0.4× 78 0.9× 14 0.2× 57 0.8× 58 847
Gyuchan Thomas Jun United Kingdom 16 24 0.1× 55 0.6× 68 0.8× 16 0.2× 50 0.7× 48 866
Bo Bergman Sweden 23 53 0.3× 365 4.0× 325 3.7× 23 0.3× 73 1.0× 95 1.9k
Andrew Rae Australia 17 46 0.3× 79 0.9× 60 0.7× 11 0.1× 20 0.3× 76 975
Jeroen de Mast Netherlands 21 64 0.4× 47 0.5× 407 4.6× 11 0.1× 51 0.7× 68 1.5k

Countries citing papers authored by Kazim Topuz

Since Specialization
Citations

This map shows the geographic impact of Kazim Topuz'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 Kazim Topuz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazim Topuz more than expected).

Fields of papers citing papers by Kazim Topuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kazim Topuz. 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 Kazim Topuz. The network helps show where Kazim Topuz may publish in the future.

Co-authorship network of co-authors of Kazim Topuz

This figure shows the co-authorship network connecting the top 25 collaborators of Kazim Topuz. A scholar is included among the top collaborators of Kazim Topuz 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 Kazim Topuz. Kazim Topuz 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.
Topuz, Kazim, et al.. (2025). Developing an Interpretable Decision Support Framework for Artifact Design in Organ Transplantation. Information Systems Frontiers. 27(6). 2573–2597.
2.
Topuz, Kazim, Akhilesh Bajaj, Kristof Coussement, & Timothy L. Urban. (2025). Interpretable machine learning and explainable artificial intelligence. Annals of Operations Research. 347(2). 775–782. 1 indexed citations
3.
Topuz, Kazim, et al.. (2025). Understanding cultural stress and mental health among Latinos in the us: probabilistic omnidirectional inference model. Annals of Operations Research. 346(3). 2461–2481. 1 indexed citations
4.
Ghosh, Indranil, et al.. (2025). Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook’s prophet-TBATS and XAI methodology. Annals of Operations Research. 346(3). 2423–2459. 1 indexed citations
5.
Topuz, Kazim, et al.. (2024). Decision support system for appointment scheduling and overbooking under patient no-show behavior. Annals of Operations Research. 342(1). 845–873. 7 indexed citations
6.
Jones, Brett D., et al.. (2024). Predicting undergraduate student evaluations of teaching using probabilistic machine learning: The importance of motivational climate. Studies In Educational Evaluation. 81. 101353–101353. 2 indexed citations
7.
Tutun, Salih, et al.. (2024). Explainable Artificial Intelligence for Mental Disorder Screening: A Computational Design Science Approach. Journal of Management Information Systems. 41(4). 958–981. 5 indexed citations
8.
Coussement, Kristof, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, & Kazim Topuz. (2024). Explainable AI for enhanced decision-making. Decision Support Systems. 184. 114276–114276. 15 indexed citations
9.
Ahmed, Abdulaziz, et al.. (2023). What makes accidents severe! explainable analytics framework with parameter optimization. European Journal of Operational Research. 317(2). 425–436. 14 indexed citations
10.
Topuz, Kazim, et al.. (2023). An analytical approach to evaluate the impact of age demographics in a pandemic. Stochastic Environmental Research and Risk Assessment. 37(10). 3691–3705. 5 indexed citations
11.
Topuz, Kazim, Behrooz Davazdahemami, & Dursun Delen. (2023). A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases. Annals of Operations Research. 341(1). 673–697. 12 indexed citations
12.
Topuz, Kazim, et al.. (2023). Evidence-based managerial decision-making with machine learning: The case of Bayesian inference in aviation incidents. Omega. 120. 102906–102906. 17 indexed citations
13.
Topuz, Kazim, Timothy L. Urban, & Mehmet Bayram Yildirim. (2023). A Markovian score model for evaluating provider performance for continuity of care—An explainable analytics approach. European Journal of Operational Research. 317(2). 341–351. 9 indexed citations
14.
Topuz, Kazim, et al.. (2021). Methodology to combine theoretical knowledge with a data-driven probabilistic graphical model. RePEc: Research Papers in Economics. 4(2). 125–139. 8 indexed citations
15.
Moqbel, Murad, et al.. (2020). Enterprise social media: combating turnover in businesses. Internet Research. 30(2). 591–610. 23 indexed citations
16.
Eryarsoy, Enes, Dursun Delen, Behrooz Davazdahemami, & Kazim Topuz. (2020). A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19. Journal of Business Research. 124. 163–178. 15 indexed citations
17.
Zengul, Ferhat D., Timmy Lee, Dursun Delen, et al.. (2019). Research Themes and Trends in Ten Top-Ranked Nephrology Journals: A Text Mining Analysis. American Journal of Nephrology. 51(2). 147–159. 11 indexed citations
18.
Delen, Dursun, Kazim Topuz, & Enes Eryarsoy. (2019). Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition. European Journal of Operational Research. 281(3). 575–587. 54 indexed citations
19.
Topuz, Kazim, et al.. (2017). Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network. Annals of Operations Research. 263(1-2). 479–499. 63 indexed citations
20.
Dağ, Ali, et al.. (2016). A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival. Decision Support Systems. 86. 1–12. 60 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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