Zafer Barutçuoğlu

1.0k citations
5 papers · 517 indexed · h-index 4
Topics
Gene expression and cancer classification (3 papers)Machine Learning in Bioinformatics (2 papers)Bioinformatics and Genomic Networks (2 papers)
Journals
BioinformaticsGenome biologyZenodo (CERN European Organization for Nuclear Research)
Partner nations
United States

In The Last Decade

Zafer Barutçuoğlu

5 papers receiving 485 citations

Peers

Zafer Barutçuoğlu
Comparison fields: 5 of 61
  • Molecular Biology 304
  • Artificial Intelligence 261
  • Computer Vision and Pattern Recognition 140
  • Computational Theory and Mathematics 66
  • Information Systems 50
Replace Umut Topkara with:
Umut Topkara United States
Kimmo Fredriksson Finland
Jorma Boberg Finland
Kimia Bazargan Lari Iran
Djamal Belazzougui Algeria
Laurent Mouchard France
Beatriz Pontes Spain
Raúl Giráldez Spain
Yuk Wah Wong United States
Seokjun Seo South Korea
Zafer Barutçuoğlu relative to Umut Topkara United States Umut Topkara's profile →
Citations per field
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Umut Topkara · 1×
Citations per year

Countries citing papers authored by Zafer Barutçuoğlu

Since Specialization
Citations

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

Fields of papers citing papers by Zafer Barutçuoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zafer Barutçuoğlu

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

All Works

About Zafer Barutçuoğlu

Zafer Barutçuoğlu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics, having authored 5 papers that have together received 517 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Machine Learning in Bioinformatics (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Artificial Intelligence (261 citations), Computer Vision and Pattern Recognition (140 citations) and Molecular Biology (304 citations). Zafer Barutçuoğlu has collaborated with scholars based in United States. Frequent co-authors include Olga G. Troyanskaya, Robert E. Schapire, Christopher DeCoro, Chad L. Myers, Yuanfang Guan, Amy A. Caudy, David Hess, Rebecca Fiebrink, Vanessa Dumeaux and Edoardo M. Airoldi. Their work appears in journals such as Bioinformatics, Genome biology and Zenodo (CERN European Organization for Nuclear Research).

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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