Peter Gajdoš

724 citations
54 papers · 494 · h-index 12

Impact in

Papers in

    • Spider Taxonomy and Behavior Studies 13
    • Lepidoptera: Biology and Taxonomy 8
    • Microbial Metabolic Engineering and Bioproduction 12
    • Enzyme Catalysis and Immobilization 5

Peter Gajdoš

46 papers receiving 488 citations

Peers

Peter Gajdoš
Comparison fields: 5 of 85
  • Ecological Modeling 33
  • Biochemistry 51
  • Insect Science 58
  • Nature and Landscape Conservation 46
  • Ecology 86
Replace Rommel Montúfar with:
Rommel Montúfar Ecuador
K. Pinyopusarerk Australia
Lars Graudal Denmark
Marjorie R. Lundgren United Kingdom
Jomar Gomes Jardim Brazil
Christina Cleo Vinson Brazil
Jaana Vuosku Finland
Mary Namaganda Uganda
Xavier Foueillassar France
Jon P. Rebman United States
Peter Gajdoš relative to Rommel Montúfar Ecuador Rommel Montúfar's profile →
Citations per field
00.5×5.7×
Rommel Montúfar · 1×
Citations per year

Countries citing papers authored by Peter Gajdoš

Since Specialization
Citations

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

Fields of papers citing papers by Peter Gajdoš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Gajdoš, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Gajdoš Line = papers co-authored together Peter Gajdoš links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201568
2 201650
3 201946
4 202138
5 201927
6 201522
7 201622
8 202017
9 201917
10 201316
11 201516
12 202112
13 202310
14 201510
15 200010
16 20229
17 20199
18 20058
19 20198
20 20227

About Peter Gajdoš

Peter Gajdoš is a scholar working on Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Ecology and Insect Science, having authored 54 papers that have together received 494 indexed citations. Recurring topics across this work include Spider Taxonomy and Behavior Studies (13 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Lipid metabolism and biosynthesis (9 papers), Lepidoptera: Biology and Taxonomy (8 papers), Forest Ecology and Biodiversity Studies (7 papers), Subterranean biodiversity and taxonomy (7 papers), Ecology and Vegetation Dynamics Studies (6 papers) and Enzyme Catalysis and Immobilization (5 papers). The work is most often cited by research in Ecological Modeling (33 citations), Biochemistry (51 citations), Insect Science (58 citations), Nature and Landscape Conservation (46 citations) and Ecology (86 citations). Peter Gajdoš has collaborated with scholars based in Slovakia, Czechia and France. Frequent co-authors include Milan Čertí­k, Jean‐Marc Nicaud, Tristan Rossignol, Rodrigo Ledesma‐Amaro, L. Halada, Benjamín Jarčuška, Jana Špulerová, Søren Toft, Marta Dobrovodská and František Petrovič. Their work appears in journals such as Journal of Arachnology, Insect Conservation and Diversity, Agricultural Economics (Zemědělská ekonomika), Biological Conservation and Biodiversity and Conservation.

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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