Peter Kerpedjiev

39 total papers · 7.6k total citations
14 papers, 949 citations indexed

About

Peter Kerpedjiev is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peter Kerpedjiev has authored 14 papers receiving a total of 949 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peter Kerpedjiev's work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers) and RNA modifications and cancer (5 papers). Peter Kerpedjiev is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers) and RNA modifications and cancer (5 papers). Peter Kerpedjiev collaborates with scholars based in United States, Austria and Denmark. Peter Kerpedjiev's co-authors include Ivo L. Hofacker, Stefan Hammer, Hanspeter Pfister, Nils Gehlenborg, Fritz Lekschas, Soohyun Lee, B. Alver, Peter J. Park, Christian Höner zu Siederdissen and Kasper Dinkla and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

In The Last Decade

Peter Kerpedjiev

14 papers receiving 939 citations

Author Peers

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

Author Last Decade Papers Cites
Peter Kerpedjiev 739 188 160 114 68 14 949
Alexander Platzer 518 0.7× 351 1.9× 183 1.1× 72 0.6× 48 0.7× 23 1.1k
Joaquín Tárraga 789 1.1× 155 0.8× 213 1.3× 91 0.8× 59 0.9× 27 1.2k
Colin Diesh 672 0.9× 298 1.6× 297 1.9× 95 0.8× 95 1.4× 13 1.0k
Michael D. Wang 648 0.9× 112 0.6× 220 1.4× 109 1.0× 133 2.0× 15 965
Derek Huntley 502 0.7× 81 0.4× 193 1.2× 43 0.4× 39 0.6× 17 853
Taishin Kin 795 1.1× 186 1.0× 59 0.4× 204 1.8× 32 0.5× 15 944
Steven P. Lund 409 0.6× 336 1.8× 166 1.0× 88 0.8× 64 0.9× 36 968
Stephan Pabinger 754 1.0× 135 0.7× 282 1.8× 183 1.6× 122 1.8× 34 1.2k
Adam M. Novak 806 1.1× 314 1.7× 412 2.6× 64 0.6× 50 0.7× 33 1.1k
Mónica Muñoz-Torres 757 1.0× 396 2.1× 261 1.6× 63 0.6× 170 2.5× 19 1.2k

Countries citing papers authored by Peter Kerpedjiev

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kerpedjiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kerpedjiev

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kerpedjiev. A scholar is included among the top collaborators of Peter Kerpedjiev 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 Peter Kerpedjiev. Peter Kerpedjiev 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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