Primož Presetnik

757 citations
25 papers · 247 indexed · h-index 7

Primož Presetnik

21 papers receiving 231 citations

Peers

Primož Presetnik
Comparison fields: 5 of 42
  • Ecological Modeling 58
  • Ecology, Evolution, Behavior and Systematics 193
  • Virology 28
  • Developmental Biology 10
  • Infectious Diseases 80
Replace Julia Prüger with:
Julia Prüger Germany
Eder Barbier Brazil
Elizabete Captivo Lourenço Brazil
Melissa B. Meierhofer United States
Heather M. Kaarakka United States
Hana Berková Czechia
Jiří Brichta Czechia
Brian L. Pierce United States
Milan Paunović Serbia
Thomas Hiller Germany
Primož Presetnik relative to Julia Prüger Germany Julia Prüger's profile →
Citations per field
00.5×1.6×
Julia Prüger · 1×
Citations per year

Countries citing papers authored by Primož Presetnik

Since Specialization
Citations

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

Fields of papers citing papers by Primož Presetnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20238
3 20205
4 201923
5 20195
6 20196
7 20182
8 201693
9 20154
10 201460
11 20131
12 20122
13 20121
14
Determination of bat lyssavirus in Slovenia
20102
15 20051
16 20042
17 20031
18 20020
19
First records of Pipistrellus pygmaeus (Leach, 1825) in Slovenia
20012
20 20012

About Primož Presetnik

Primož Presetnik is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Virology, having authored 25 papers that have together received 247 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (17 papers), Species Distribution and Climate Change (6 papers), Viral Infections and Vectors (5 papers), Wildlife Ecology and Conservation (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Marine animal studies overview (3 papers), Spider Taxonomy and Behavior Studies (3 papers) and Rabies epidemiology and control (3 papers). The work is most often cited by research in Ecological Modeling (58 citations), Ecology, Evolution, Behavior and Systematics (193 citations) and Virology (28 citations). Primož Presetnik has collaborated with scholars based in Slovenia, Germany and Czechia. Frequent co-authors include Oleg L. Orlov, Hana Banďouchová, Alena Kubátová, Miroslav Kolařík, Adéla Čmoková, Kamil S. Jaroň, Jiří Pikula, Jurģis Šuba, Jan Zukal and Alexandra Zahradníková. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecular Ecology.

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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