Selçuk Korkmaz

2.4k citations
42 papers · 1.7k indexed · 2 hit papers · h-index 12
Topics
Gene expression and cancer classification (5 papers)Computational Drug Discovery Methods (5 papers)Machine Learning in Bioinformatics (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Selçuk Korkmaz

41 papers receiving 1.6k citations

Hit Papers

MVN: An R Package for Assessing Multivariate Normality201420262018202220142016250500750

Peers

Selçuk Korkmaz
Comparison fields: 5 of 198
  • Molecular Biology 251
  • Clinical Psychology 221
  • Social Psychology 177
  • Computational Theory and Mathematics 135
  • Experimental and Cognitive Psychology 122
Replace Gökmen Zararsız with:
Gökmen Zararsız Türkiye
Dinçer Göksülük Türkiye
Agus Salim Australia
Tōnu Esko Estonia
T. Mark Beasley United States
Naiji Lu United States
Alicia R. Martin United States
Phillip Good Australia
Desislava Petkova United States
Klaus G. Witz United States
Selçuk Korkmaz relative to Gökmen Zararsız Türkiye Gökmen Zararsız's profile →
Citations per field
00.5×1.7×
Gökmen Zararsız · 1×
Citations per year

Countries citing papers authored by Selçuk Korkmaz

Since Specialization
Citations

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

Fields of papers citing papers by Selçuk Korkmaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selçuk Korkmaz

This figure shows the co-authorship network connecting the top 25 collaborators of Selçuk Korkmaz. A scholar is included among the top collaborators of Selçuk Korkmaz 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 Selçuk Korkmaz. Selçuk Korkmaz 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
#WorkIndexed citations
1 3
2 1
3 1
4 1
5 1
6 11
7 7
8 5
9 2
10 5
11 31
12 3
13 14
14 2
15 11
16 27
17 14
18 1
19 35
20 42

About Selçuk Korkmaz

Selçuk Korkmaz is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Cancer Research, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Computational Drug Discovery Methods (5 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Applied Psychology (72 citations), Clinical Psychology (221 citations) and Experimental and Cognitive Psychology (122 citations). Selçuk Korkmaz has collaborated with scholars based in Türkiye, Germany and United States. Frequent co-authors include Gökmen Zararsız, Dinçer Göksülük, Vahap Eldem, Ahmet Öztürk, Gözde Ertürk Zararsız, Abdullah Özkaya, Ahmet Demirok, İrfan Perente, Alper Ağca and Dilek Yaşa. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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