Mücahit Çevik

1.3k total citations
58 papers, 815 citations indexed

About

Mücahit Çevik is a scholar working on Artificial Intelligence, Information Systems and Oncology. According to data from OpenAlex, Mücahit Çevik has authored 58 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Information Systems and 8 papers in Oncology. Recurrent topics in Mücahit Çevik's work include Software Engineering Research (10 papers), Global Cancer Incidence and Screening (8 papers) and Transportation and Mobility Innovations (6 papers). Mücahit Çevik is often cited by papers focused on Software Engineering Research (10 papers), Global Cancer Incidence and Screening (8 papers) and Transportation and Mobility Innovations (6 papers). Mücahit Çevik collaborates with scholars based in Canada, United States and Türkiye. Mücahit Çevik's co-authors include Oğuzhan Alagöz, Ayşe Bener, Natasha K. Stout, Brian L. Sprague, Karla Kerlikowske, Diana L. Miglioretti, Anna N.A. Tosteson, Christoph I. Lee, Constance D. Lehman and Clyde B. Schechter and has published in prestigious journals such as Annals of Internal Medicine, JNCI Journal of the National Cancer Institute and Radiology.

In The Last Decade

Mücahit Çevik

53 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mücahit Çevik Canada 14 272 232 172 115 106 58 815
Jianbin Li China 18 230 0.8× 250 1.1× 88 0.5× 102 0.9× 101 1.0× 97 907
Yishi Zhang China 21 195 0.7× 256 1.1× 233 1.4× 345 3.0× 24 0.2× 56 1.5k
Haipeng Chen China 17 192 0.7× 100 0.4× 131 0.8× 68 0.6× 39 0.4× 90 918
Michel Raynal France 35 350 1.3× 465 2.0× 128 0.7× 215 1.9× 49 0.5× 362 5.0k
Roberto Casadei Italy 20 173 0.6× 175 0.8× 270 1.6× 52 0.5× 19 0.2× 72 1.2k
Robert M. Goldberg United States 11 145 0.5× 177 0.8× 53 0.3× 100 0.9× 30 0.3× 16 741
Min Guo China 20 52 0.2× 112 0.5× 65 0.4× 176 1.5× 34 0.3× 58 1.1k
Lin Ma United States 19 634 2.3× 698 3.0× 644 3.7× 261 2.3× 268 2.5× 63 1.6k
Siyang Gao Hong Kong 17 188 0.7× 61 0.3× 68 0.4× 68 0.6× 15 0.1× 59 1.2k

Countries citing papers authored by Mücahit Çevik

Since Specialization
Citations

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

Fields of papers citing papers by Mücahit Çevik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mücahit Çevik

This figure shows the co-authorship network connecting the top 25 collaborators of Mücahit Çevik. A scholar is included among the top collaborators of Mücahit Çevik 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 Mücahit Çevik. Mücahit Çevik 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.
Berry, Sean L., et al.. (2025). Time series clustering for grouping products based on price and sales patterns. Information Technology and Management. 27(1). 125–139.
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Çevik, Mücahit, et al.. (2024). Game‐theoretic approaches to product introduction strategies for durable products. Managerial and Decision Economics. 45(5). 2700–2726.
4.
Bodur, Merve, et al.. (2024). Approximate dynamic programming for pickup and delivery problem with crowd-shipping. Transportation Research Part B Methodological. 187. 103027–103027. 4 indexed citations
5.
Malik, Garima, et al.. (2024). A unified framework for financial commentary prediction. Information Technology and Management. 27(1). 95–111. 1 indexed citations
6.
Bodur, Merve, et al.. (2023). Multistage stochastic fractionated intensity modulated radiation therapy planning. Computers & Operations Research. 160. 106371–106371. 1 indexed citations
7.
Malik, Garima, et al.. (2023). Transfer Learning for Conflict and Duplicate Detection in Software Requirement Pairs. SSRN Electronic Journal. 2 indexed citations
8.
Çevik, Mücahit, et al.. (2023). ADPTriage: Approximate Dynamic Programming for Bug Triage. IEEE Transactions on Software Engineering. 49(10). 4594–4609. 2 indexed citations
9.
Çevik, Mücahit, et al.. (2023). Improved α-GAN architecture for generating 3D connected volumes with an application to radiosurgery treatment planning. Applied Intelligence. 53(18). 21050–21076. 2 indexed citations
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Çevik, Mücahit, et al.. (2023). Few shot learning approaches to essay scoring. 2 indexed citations
13.
Çevik, Mücahit, et al.. (2023). Sequence Labeling for Disambiguating Medical Abbreviations. PubMed. 7(4). 501–526. 4 indexed citations
14.
Çevik, Mücahit, et al.. (2022). Wayback Machine: A tool to capture the evolutionary behavior of the bug reports and their triage process in open-source software systems. Journal of Systems and Software. 189. 111308–111308. 5 indexed citations
15.
Kazmi, Syed Jamil Hasan, et al.. (2022). Auto Response Generation in Online Medical Chat Services. PubMed. 6(3). 344–374. 8 indexed citations
16.
Çevik, Mücahit, et al.. (2022). Word-level text highlighting of medical texts for telehealth services. Artificial Intelligence in Medicine. 127. 102284–102284. 13 indexed citations
17.
Çevik, Mücahit, et al.. (2022). Active Learning for Multi-way Sensitivity Analysis with Application to Disease Screening Modeling. PubMed. 6(3). 317–343. 1 indexed citations
18.
Çevik, Mücahit, Dionne M. Aleman, Young Lee, et al.. (2018). Simultaneous optimization of isocenter locations and sector duration in radiosurgery. Physics in Medicine and Biology. 64(2). 25010–25010. 4 indexed citations
19.
Çevik, Mücahit, Dionne M. Aleman, Young Lee, et al.. (2018). Modeling and comparison of alternative approaches for sector duration optimization in a dedicated radiosurgery system. Physics in Medicine and Biology. 63(15). 155009–155009. 4 indexed citations
20.
Çevik, Mücahit, Mehmet Ali Ergün, Natasha K. Stout, et al.. (2015). Using Active Learning for Speeding up Calibration in Simulation Models. Medical Decision Making. 36(5). 581–593. 20 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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