Serhat Simsek

416 total citations
20 papers, 304 citations indexed

About

Serhat Simsek is a scholar working on Artificial Intelligence, Economics and Econometrics and Information Systems. According to data from OpenAlex, Serhat Simsek has authored 20 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Economics and Econometrics and 3 papers in Information Systems. Recurrent topics in Serhat Simsek's work include AI in cancer detection (4 papers), Imbalanced Data Classification Techniques (4 papers) and Stock Market Forecasting Methods (3 papers). Serhat Simsek is often cited by papers focused on AI in cancer detection (4 papers), Imbalanced Data Classification Techniques (4 papers) and Stock Market Forecasting Methods (3 papers). Serhat Simsek collaborates with scholars based in United States, Türkiye and Iran. Serhat Simsek's co-authors include Ali Dağ, Abdullah Albizri, Marina Johnson, Eyyüb Y. Kıbış, Asil Oztekin, Dursun Delen, Ugur Kursuncu, José Capelo Neto, Linh Tran and Brian E. Kinard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Expert Systems with Applications.

In The Last Decade

Serhat Simsek

20 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serhat Simsek United States 10 108 46 42 41 40 20 304
Kornelia Batko Poland 7 58 0.5× 28 0.6× 62 1.5× 55 1.3× 30 0.8× 31 367
Oleg Metsker Russia 8 92 0.9× 25 0.5× 33 0.8× 56 1.4× 16 0.4× 40 221
Masoud Fakhimi United Kingdom 10 36 0.3× 48 1.0× 36 0.9× 15 0.4× 12 0.3× 25 280
AmirReza Tajally Iran 9 75 0.7× 32 0.7× 45 1.1× 7 0.2× 13 0.3× 19 274
Bakheet Aldosari Saudi Arabia 11 52 0.5× 46 1.0× 32 0.8× 174 4.2× 21 0.5× 38 366
Görkem Sarıyer Türkiye 12 35 0.3× 25 0.5× 35 0.8× 30 0.7× 11 0.3× 36 322
Nishita Mehta India 3 100 0.9× 35 0.8× 82 2.0× 137 3.3× 30 0.8× 7 414
Ahmed Alzahrani Saudi Arabia 13 96 0.9× 14 0.3× 17 0.4× 8 0.2× 92 2.3× 51 446
Christian Wernz United States 13 13 0.1× 91 2.0× 70 1.7× 44 1.1× 27 0.7× 35 422

Countries citing papers authored by Serhat Simsek

Since Specialization
Citations

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

Fields of papers citing papers by Serhat Simsek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serhat Simsek

This figure shows the co-authorship network connecting the top 25 collaborators of Serhat Simsek. A scholar is included among the top collaborators of Serhat Simsek 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 Serhat Simsek. Serhat Simsek 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.
Simsek, Serhat, et al.. (2024). A decision support framework for misstatement identification in financial reporting: A hybrid tree-augmented Bayesian belief approach. Decision Support Systems. 189. 114369–114369. 1 indexed citations
2.
Dağ, Ali, et al.. (2024). A Parsimonious Tree Augmented Naive Bayes Model for Exploring Colorectal Cancer Survival Factors and Their Conditional Interrelations. Information Systems Frontiers. 27(3). 1209–1225. 2 indexed citations
3.
Simsek, Serhat, et al.. (2024). An interpretable machine learning methodology to generate interaction effect hypotheses from complex datasets. Decision Sciences. 55(6). 549–576. 1 indexed citations
4.
Simsek, Serhat, et al.. (2023). Streamlining patients’ opioid prescription dosage: an explanatory bayesian model. Annals of Operations Research. 347(2). 889–912. 3 indexed citations
5.
Johnson, Marina, et al.. (2023). A machine learning decision support system for determining the primary factors impacting cancer survival and their temporal effect. SHILAP Revista de lepidopterología. 4. 100263–100263. 4 indexed citations
6.
Dağ, Ali, et al.. (2022). A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends. Journal of Business Research. 156. 113522–113522. 18 indexed citations
7.
Kıbış, Eyyüb Y., et al.. (2022). A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival. Knowledge-Based Systems. 242. 108407–108407. 16 indexed citations
8.
Kıbış, Eyyüb Y., et al.. (2022). An interpretable decision-support systems for daily cryptocurrency trading. Expert Systems with Applications. 203. 117409–117409. 17 indexed citations
9.
Dağ, Ali, et al.. (2022). Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement. Journal of Management Information Systems. 39(4). 1116–1145. 7 indexed citations
10.
Cron, Randy Q., Matthew L. Stoll, Serhat Simsek, et al.. (2021). Comparison of the Condyle-Fossa Relationship and Resorption Between Patients With and Without Juvenile Idiopathic Arthritis (JIA). Journal of Oral and Maxillofacial Surgery. 80(3). 422–430. 3 indexed citations
11.
Simsek, Serhat, et al.. (2021). Developing a decision support system to detect material weaknesses in internal control. Decision Support Systems. 151. 113631–113631. 23 indexed citations
12.
Simsek, Serhat, et al.. (2020). Stratifying no-show patients into multiple risk groups via a holistic data analytics-based framework. Decision Support Systems. 132. 113269–113269. 23 indexed citations
13.
Simsek, Serhat, et al.. (2020). A hybrid data analytics approach for high-performance concrete compressive strength prediction. RePEc: Research Papers in Economics. 3(2). 158–168. 10 indexed citations
14.
Barros, Mário Ubirajara Gonçalves, et al.. (2020). Icyano: a cyanobacterial bloom vulnerability index for drinking water treatment plants. Water Science & Technology Water Supply. 20(8). 3517–3530. 4 indexed citations
15.
Simsek, Serhat, et al.. (2020). A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories. Omega. 100. 102296–102296. 40 indexed citations
16.
Johnson, Marina, Abdullah Albizri, & Serhat Simsek. (2020). Artificial intelligence in healthcare operations to enhance treatment outcomes: a framework to predict lung cancer prognosis. Annals of Operations Research. 308(1-2). 275–305. 52 indexed citations
17.
Simsek, Serhat, et al.. (2020). Artificial neural network incorporated decision support tool for point velocity prediction. RePEc: Research Papers in Economics. 3(1). 67–78. 3 indexed citations
18.
Simsek, Serhat, et al.. (2020). Predictive data analytics for contract renewals: a decision support tool for managerial decision-making. Journal of Enterprise Information Management. 34(2). 718–732. 23 indexed citations
19.
Simsek, Serhat, et al.. (2019). A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival. Expert Systems with Applications. 139. 112863–112863. 51 indexed citations
20.
Simsek, Serhat, et al.. (2018). A Bayesian Approach to Detect the Firms with Material Weakness in Internal Control. 3 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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