Kim Valenta

59 papers receiving 1.2k citations

Peers

Kim Valenta
Comparison fields: 5 of 98
  • Developmental Biology 56
  • Ecology, Evolution, Behavior and Systematics 488
  • Ecological Modeling 100
  • Sensory Systems 98
  • Nature and Landscape Conservation 259
Replace Adrian M. Shrader with:
Adrian M. Shrader South Africa
Jean-Marc Duplantier France
Jorge Galindo‐González Mexico
Gilbert Isabirye–Basuta Uganda
E. Jean Wickings Gabon
Veronika Schmidt Germany
Cristiano Schetini de Azevedo Brazil
Nikki Tagg Belgium
Joanna Fietz Germany
Eleonore Zulnara Freire Setz Brazil
Kim Valenta relative to Adrian M. Shrader South Africa Adrian M. Shrader's profile →
Citations per field
00.5×4.9×
Adrian M. Shrader · 1×
Citations per year

Countries citing papers authored by Kim Valenta

Since Specialization
Citations

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

Fields of papers citing papers by Kim Valenta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201594
2 202093
3 201859
4 201656
5 201356
6 201753
7 201850
8 201643
9 201842
10 201736
11 201631
12 201829
13 200928
14 202027
15 201927
16 201726
17 202025
18 201524
19 201520
20 201619

About Kim Valenta

Kim Valenta is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation and Sensory Systems, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (25 papers), Wildlife Ecology and Conservation (17 papers), Plant and animal studies (17 papers), Ecology and Vegetation Dynamics Studies (11 papers), Olfactory and Sensory Function Studies (9 papers), Zoonotic diseases and public health (7 papers), Animal Behavior and Reproduction (6 papers) and Human-Animal Interaction Studies (5 papers). The work is most often cited by research in Developmental Biology (56 citations), Ecology, Evolution, Behavior and Systematics (488 citations), Ecological Modeling (100 citations), Sensory Systems (98 citations) and Nature and Landscape Conservation (259 citations). Kim Valenta has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Omer Nevo, Colin A. Chapman, Kevin A. Brown, Manfred Ayasse, Linda M. Fedigan, Amanda Melin, Shawn M. Lehman, Patrick A. Omeja, Nick Daneman and Andrew E. Simor. Their work appears in journals such as Biotropica, Ecology and Evolution, International Journal of Primatology, Functional Ecology and PLoS ONE.

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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