Jan Šklíba

856 citations
31 papers · 693 · h-index 16

Impact in

Papers in

    • Animal Ecology and Behavior Studies 21
    • Wildlife Ecology and Conservation 4
    • Physiological and biochemical adaptations 3
    • Marine animal studies overview 2
    • Evolution and Paleontology Studies 22

Jan Šklíba

31 papers receiving 683 citations

Peers

Jan Šklíba
Comparison fields: 5 of 63
  • Paleontology 391
  • Ecology, Evolution, Behavior and Systematics 359
  • Ecology 442
  • Ecological Modeling 34
  • Developmental Biology 17
Replace Matěj Lövy with:
Matěj Lövy Czechia
Graham C. Hickman South Africa
C. Daniel Antinuchi Argentina
A. C. Spinks South Africa
A. J. Molteno South Africa
Viviana Cadena Canada
Michelle Spaulding United States
Jason Pienaar United States
Facundo Luna Argentina
Larisa E. Harding United States
Jan Šklíba relative to Matěj Lövy Czechia Matěj Lövy's profile →
Citations per field
00.5×1.5×
Matěj Lövy · 1×
Citations per year

Countries citing papers authored by Jan Šklíba

Since Specialization
Citations

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

Fields of papers citing papers by Jan Šklíba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Šklíba, 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 Jan Šklíba Line = papers co-authored together Jan Šklíba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201352
2 201351
3 201151
4 201546
5 200745
6 200744
7 201240
8 200938
9 201436
10 201131
11 201328
12 201527
13 201126
14 201023
15 201722
16 201622
17 201613
18 201712
19 200712
20 201211

About Jan Šklíba

Jan Šklíba is a scholar working on Ecology, Paleontology, Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Genetics, having authored 31 papers that have together received 693 indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (22 papers), Animal Ecology and Behavior Studies (21 papers), Bat Biology and Ecology Studies (20 papers), Wildlife Ecology and Conservation (4 papers), Species Distribution and Climate Change (3 papers), Physiological and biochemical adaptations (3 papers), Genetic diversity and population structure (3 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Paleontology (391 citations), Ecology, Evolution, Behavior and Systematics (359 citations), Ecology (442 citations), Ecological Modeling (34 citations) and Developmental Biology (17 citations). Jan Šklíba has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Radim Šumbera, Matěj Lövy, Hynek Burda, Wilbert N. Chitaukali, Vladimír Mazoch, Josef Bryja, Eviatar Nevo, Jan Okrouhlík, Eviatar Nevo and Claudio Sillero‐Zubiri. Their work appears in journals such as Journal of Zoology, PLoS ONE, Mammalian Biology, Journal of Ethology and Biological Journal of the Linnean Society.

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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