Peter Drotár

2.2k citations
60 papers · 1.4k indexed · h-index 18
Topics
Voice and Speech Disorders (14 papers)Face and Expression Recognition (9 papers)Gene expression and cancer classification (9 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsJournal of Hepatology
Partner nations
SlovakiaCzechiaSpain

In The Last Decade

Peter Drotár

51 papers receiving 1.4k citations

Peers

Peter Drotár
Comparison fields: 5 of 131
  • Physiology 468
  • Neurology 454
  • Artificial Intelligence 391
  • Computer Vision and Pattern Recognition 260
  • Cognitive Neuroscience 131
Replace K. R. Seeja with:
K. R. Seeja India
Fikret Gürgen Türkiye
C. Okan Sakar Türkiye
Ahmet Sertbaş Türkiye
Imtiaz Ahmed United States
Gennaro Vessio Italy
Gustavo Henrique de Rosa Brazil
Roberto Muñoz Chile
Mohammed Al-Sarem Saudi Arabia
Dimitrios Hristu‐Varsakelis Greece
Peter Drotár relative to K. R. Seeja India K. R. Seeja's profile →
Citations per field
00.5×5.8×
K. R. Seeja · 1×
Citations per year

Countries citing papers authored by Peter Drotár

Since Specialization
Citations

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

Fields of papers citing papers by Peter Drotár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Drotár

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Drotár. A scholar is included among the top collaborators of Peter Drotár 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 Drotár. Peter Drotár 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 0
2 0
3 0
4 0
5 1
6 3
7 17
8 1
9 60
10 1
11 10
12 45
13 88
14 63
15 5
16 7
17 1
18 63
19 112
20 15

About Peter Drotár

Peter Drotár is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Voice and Speech Disorders (14 papers), Face and Expression Recognition (9 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Neurology (454 citations), Physiology (468 citations) and Computer Vision and Pattern Recognition (260 citations). Peter Drotár has collaborated with scholars based in Slovakia, Czechia and Spain. Frequent co-authors include Zdeněk Smékal, Marcos Faúndez-Zanuy, Irena Rektorová, Jiří Mekyska, Lucia Masárová, Matej Gazda, Liberios Vokorokos, Juraj Gazda, Dinesh Kumar and Nemuel Daniel Pah. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Hepatology.

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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