Erhan Guven

3.5k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

Erhan Guven is a scholar working on Artificial Intelligence, Epidemiology and Signal Processing. According to data from OpenAlex, Erhan Guven has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Epidemiology and 3 papers in Signal Processing. Recurrent topics in Erhan Guven's work include COVID-19 epidemiological studies (3 papers), Topic Modeling (3 papers) and Mosquito-borne diseases and control (3 papers). Erhan Guven is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Topic Modeling (3 papers) and Mosquito-borne diseases and control (3 papers). Erhan Guven collaborates with scholars based in United States, Philippines and Thailand. Erhan Guven's co-authors include Anna L. Buczak, Benjamin Baugher, Steven M. Babin, Linda Moniz, Yevgeniy Elbert, Sheri Lewis, Enrique Tayag, P. Bock, Vito G. Roque and In-Kyu Yoon and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Communications Surveys & Tutorials.

In The Last Decade

Erhan Guven

13 papers receiving 1.8k citations

Hit Papers

A Survey of Data Mining and Machine Learning Methods for ... 2015 2026 2018 2022 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erhan Guven United States 6 1.5k 1.2k 818 393 201 15 2.0k
Anna L. Buczak United States 14 1.9k 1.3× 1.6k 1.3× 1.0k 1.2× 540 1.4× 256 1.3× 42 2.8k
Cliff C. Zou United States 28 2.7k 1.8× 1.5k 1.2× 1.3k 1.6× 928 2.4× 170 0.8× 114 3.4k
Mário Lemes Proença Brazil 22 1.5k 1.0× 1.1k 0.9× 631 0.8× 179 0.5× 170 0.8× 78 1.8k
Alin Dobra United States 18 1.4k 0.9× 668 0.5× 570 0.7× 289 0.7× 48 0.2× 51 1.9k
Kuai Xu United States 24 1.3k 0.9× 774 0.6× 221 0.3× 421 1.1× 42 0.2× 80 1.9k
Ibrahim Ghafir United Kingdom 17 851 0.6× 425 0.3× 524 0.6× 548 1.4× 99 0.5× 60 1.2k
Thomas A. Longstaff United States 15 841 0.6× 651 0.5× 435 0.5× 594 1.5× 81 0.4× 22 1.4k
Carol Fung United States 22 1.2k 0.8× 656 0.5× 369 0.5× 424 1.1× 133 0.7× 109 1.6k
Manuel Gil Pérez Spain 22 807 0.5× 747 0.6× 339 0.4× 388 1.0× 141 0.7× 93 1.6k

Countries citing papers authored by Erhan Guven

Since Specialization
Citations

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

Fields of papers citing papers by Erhan Guven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erhan Guven

This figure shows the co-authorship network connecting the top 25 collaborators of Erhan Guven. A scholar is included among the top collaborators of Erhan Guven 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 Erhan Guven. Erhan Guven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Glaser, Cornelia & Erhan Guven. (2025). Generative Data Visualization with JSON Representations. 1–7.
2.
Guven, Erhan, et al.. (2024). Self-Reflection in Large Language Model Agents: Effects on Problem-Solving Performance. 516–525. 14 indexed citations
3.
Guven, Erhan, et al.. (2024). The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models. 476–483. 3 indexed citations
4.
DeLeo, Michael & Erhan Guven. (2022). Learning Chess With Language Models and Transformers. SSRN Electronic Journal. 1 indexed citations
5.
Buczak, Anna L., et al.. (2018). Ensemble method for dengue prediction. PLoS ONE. 13(1). e0189988–e0189988. 47 indexed citations
6.
Lin, Jeffrey S., et al.. (2018). Unsupervised Machine Learning by Graph Analytics on Heterogeneous Network Device Data. Procedia Computer Science. 140. 144–151. 5 indexed citations
7.
Moniz, Linda, et al.. (2016). Predicting influenza with dynamical methods. BMC Medical Informatics and Decision Making. 16(1). 134–134. 4 indexed citations
8.
Buczak, Anna L., Benjamin Baugher, Erhan Guven, et al.. (2016). Prediction of Peaks of Seasonal Influenza in Military Health-Care Data. SHILAP Revista de lepidopterología. 7s2(Suppl 2). BECB.S36277–BECB.S36277. 4 indexed citations
9.
Buczak, Anna L., Benjamin Baugher, Erhan Guven, et al.. (2015). Fuzzy association rule mining and classification for the prediction of malaria in South Korea. BMC Medical Informatics and Decision Making. 15(1). 47–47. 27 indexed citations
10.
Buczak, Anna L. & Erhan Guven. (2015). A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection. IEEE Communications Surveys & Tutorials. 18(2). 1153–1176. 1812 indexed citations breakdown →
11.
Buczak, Anna L., Benjamin Baugher, Steven M. Babin, et al.. (2014). Prediction of High Incidence of Dengue in the Philippines. PLoS neglected tropical diseases. 8(4). e2771–e2771. 38 indexed citations
12.
Burkom, Howard, Yevgeniy Elbert, Erhan Guven, & Jacqueline Coberly. (2014). Analytic Biosurveillance Methods for Resource-Limited Settings. Online Journal of Public Health Informatics. 6(1). 1 indexed citations
13.
Guven, Erhan & Anna L. Buczak. (2013). An OpenCL Framework for Fuzzy Associative Classification and its Application to Disease Prediction. Procedia Computer Science. 20. 362–367. 3 indexed citations
14.
Guven, Erhan & Ahmet Murat Özbayoğlu. (2012). Note and Timbre Classification by Local Features of Spectrogram. Procedia Computer Science. 12. 182–187. 3 indexed citations
15.
Guven, Erhan & P. Bock. (2010). Speech Emotion Recognition using a backward context. 1–5. 6 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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