Sarah Federman

709 citations
24 papers · 311 · h-index 11

Impact in

Papers in

Sarah Federman

23 papers receiving 307 citations

Peers

Sarah Federman
Comparison fields: 5 of 69
  • Nature and Landscape Conservation 92
  • Ecology, Evolution, Behavior and Systematics 121
  • Ecological Modeling 26
  • Developmental Biology 11
  • Forestry 14
Replace G. S. Henderson with:
G. S. Henderson Australia
Frank E. Rheindt Singapore
David Rabehevitra Madagascar
Timothy G. Laman United States
Paul V. Loiselle United States
Ike Rachmatika Indonesia
Henri-Pierre Aberlenc France
Gustavo B. Paterno Germany
Desalegn Chala Norway
Keiko Kishimoto‐Yamada Japan
Sarah Federman relative to G. S. Henderson Australia G. S. Henderson's profile →
Citations per field
00.5×
G. S. Henderson · 1×
Citations per year

Countries citing papers authored by Sarah Federman

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Federman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201843
2 201643
3 201740
4 201533
5 201623
6 201917
7 201717
8 201817
9 201313
10 201512
11 201511
12 20168
13 20116
14 20185
15 20165
16 20174
17 20204
18 20223
19 20193
20
Transcorneal Electrical Stimulation (TES) results in a slowing of Visual Field (VF) progressive deterioration in Retinitis Pigmentosa (RP) patients
20151

About Sarah Federman

Sarah Federman is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Genetics, Nature and Landscape Conservation and Sociology and Political Science, having authored 24 papers that have together received 311 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Plant and animal studies (5 papers), Amphibian and Reptile Biology (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Primate Behavior and Ecology (3 papers), Animal Behavior and Reproduction (3 papers), Middle East and Rwanda Conflicts (3 papers) and Isotope Analysis in Ecology (2 papers). The work is most often cited by research in Nature and Landscape Conservation (92 citations), Ecology, Evolution, Behavior and Systematics (121 citations), Ecological Modeling (26 citations), Developmental Biology (11 citations) and Forestry (14 citations). Sarah Federman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Alex Dornburg, Michael J. Donoghue, Douglas C. Daly, Thomas J. Near, Chris Jones, Alison F. Richard, Andrea L. Baden, Alfredo Valido, Pedro Jordano and Ron I. Eytan. Their work appears in journals such as PLoS ONE, Nature Ecology & Evolution, Scientific Reports, The American Naturalist and Polar Biology.

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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