Frank E. Rheindt

4.0k citations
129 papers · 2.3k indexed · h-index 27

Frank E. Rheindt

123 papers receiving 2.2k citations

Peers

Frank E. Rheindt
Comparison fields: 5 of 105
  • Developmental Biology 465
  • Ecological Modeling 332
  • Ecology 996
  • Genetics 1.0k
  • Ecology, Evolution, Behavior and Systematics 712
Replace Pablo L. Tubaro with:
Pablo L. Tubaro Argentina
Santiago Claramunt United States
Martin Päckert Germany
Per Alström Sweden
R. Terry Chesser United States
Jochen Martens Germany
Borja Milá Spain
Dewi M. Prawiradilaga Indonesia
Éric Pasquet France
Jean P. Boubli Brazil
Frank E. Rheindt relative to Pablo L. Tubaro Argentina Pablo L. Tubaro's profile →
Citations per field
00.5×1.5×2.3×
Pablo L. Tubaro · 1×
Citations per year

Countries citing papers authored by Frank E. Rheindt

Since Specialization
Citations

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

Fields of papers citing papers by Frank E. Rheindt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank E. Rheindt. 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 Frank E. Rheindt. The network helps show where Frank E. Rheindt may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 202411
4 20242
5 20241
6 20230
7 20232
8 20237
9 20236
10 20233
11 20222
12 20221
13 20213
14 20205
15 202051
16
Population assessment of the house crow, Corvus splendens, in Singapore
20202
17 2017100
18 201370
19 201310
20
Rapidly evolving traits and the comparative method: how important is testing for phylogenetic signal?
200446

About Frank E. Rheindt

Frank E. Rheindt is a scholar working on Developmental Biology, Ecological Modeling and Genetics, having authored 129 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetic diversity and population structure (64 papers), Animal Vocal Communication and Behavior (29 papers), Wildlife Ecology and Conservation (28 papers), Species Distribution and Climate Change (26 papers), Genomics and Phylogenetic Studies (24 papers), Plant and animal studies (20 papers), Avian ecology and behavior (16 papers) and Ecology and Vegetation Dynamics Studies (14 papers). The work is most often cited by research in Developmental Biology (465 citations), Ecological Modeling (332 citations) and Ecology (996 citations). Frank E. Rheindt has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Les Christidis, Janette A. Norman, James A. Eaton, Scott V. Edwards, Keren R. Sadanandan, Dewi M. Prawiradilaga, Chyi Yin Gwee, Kritika M. Garg, Fumin Lei and Diane L. Rowe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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