Hüsnü Yenigün

72 total papers · 846 total citations
37 papers, 358 citations indexed

About

Hüsnü Yenigün is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Hüsnü Yenigün has authored 37 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Software, 12 papers in Computational Theory and Mathematics and 11 papers in Artificial Intelligence. Recurrent topics in Hüsnü Yenigün's work include Software Testing and Debugging Techniques (19 papers), Software Reliability and Analysis Research (10 papers) and Machine Learning and Algorithms (9 papers). Hüsnü Yenigün is often cited by papers focused on Software Testing and Debugging Techniques (19 papers), Software Reliability and Analysis Research (10 papers) and Machine Learning and Algorithms (9 papers). Hüsnü Yenigün collaborates with scholars based in Türkiye, Canada and United Kingdom. Hüsnü Yenigün's co-authors include Hasan Ural, Guy-Vincent Jourdan, Albert Lévi, Erkay Savaş, Selim Balcısoy, Yücel Saygın, İbrahim Muter, Dilek Tüzün Aksu, Ş. İlker Birbil and Kerem Bülbül and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Hüsnü Yenigün

34 papers receiving 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hüsnü Yenigün 120 93 86 76 68 37 358
Zhengjun Zhai 62 0.5× 35 0.4× 28 0.3× 43 0.6× 16 0.2× 56 293
Stéphane Durocher 48 0.4× 61 0.7× 51 0.6× 58 0.8× 25 0.4× 67 381
Christos Tranoris 26 0.2× 30 0.3× 85 1.0× 47 0.6× 104 1.5× 53 370
Peter Bunus 100 0.8× 58 0.6× 24 0.3× 227 3.0× 20 0.3× 27 402
Rabie Ben Atitallah 61 0.5× 52 0.6× 67 0.8× 22 0.3× 17 0.3× 35 390
Krishna Gopal 119 1.0× 47 0.5× 65 0.8× 29 0.4× 14 0.2× 50 376
Xiao–Yi Zhang 98 0.8× 64 0.7× 16 0.2× 35 0.5× 43 0.6× 50 327
Franz J. Rammig 65 0.5× 122 1.3× 40 0.5× 57 0.8× 23 0.3× 72 340
Herbert Schildt 40 0.3× 117 1.3× 20 0.2× 25 0.3× 16 0.2× 53 352
G.M. Karam 37 0.3× 102 1.1× 24 0.3× 54 0.7× 13 0.2× 27 293

Countries citing papers authored by Hüsnü Yenigün

Since Specialization
Citations

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

Fields of papers citing papers by Hüsnü Yenigün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hüsnü Yenigün

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

All Works

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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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