Stephen Hausch

499 citations
10 papers · 365 · h-index 8

Impact in

Papers in

Stephen Hausch

10 papers receiving 333 citations

Peers

Stephen Hausch
Comparison fields: 5 of 60
  • Nature and Landscape Conservation 160
  • Ecological Modeling 41
  • Ecology 174
  • Ecology, Evolution, Behavior and Systematics 115
  • Genetics 121
Replace Eugenio Gervasini with:
Eugenio Gervasini Italy
Mathew A. Leibold United States
Amy J.S. Davis United States
Jonathon J. Valente United States
Órla McLaughlin France
Radu Cornel Guiașu Canada
Frédéric Bioret France
Graham Williams United Kingdom
Camille Musseau Germany
Marcin Ollik Poland
Stephen Hausch relative to Eugenio Gervasini Italy Eugenio Gervasini's profile →
Citations per field
00.5×8.7×
Eugenio Gervasini · 1×
Citations per year

Countries citing papers authored by Stephen Hausch

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Hausch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Stephen Hausch, 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 Stephen Hausch Line = papers co-authored together Stephen Hausch links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2011202
2 201042
3 201837
4 201428
5 201217
6 201115
7 201710
8 20137
9 20115
10 20202

About Stephen Hausch

Stephen Hausch is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Nature and Landscape Conservation, Genetics and Ecological Modeling, having authored 10 papers that have together received 365 indexed citations. Recurring topics across this work include Plant and animal studies (6 papers), Fish Ecology and Management Studies (3 papers), Forest Insect Ecology and Management (3 papers), Marine and fisheries research (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Species Distribution and Climate Change (2 papers), Evolution and Genetic Dynamics (2 papers) and Marine animal studies overview (1 paper). The work is most often cited by research in Nature and Landscape Conservation (160 citations), Ecological Modeling (41 citations), Ecology (174 citations), Ecology, Evolution, Behavior and Systematics (115 citations) and Genetics (121 citations). Stephen Hausch has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Jeremy W. Fox, Blake Matthews, Masato Yamamichi, Torrance C. Hanley, Caroline B. Turner, Etsuko Nonaka, Karen E. Sullam, Anita Narwani, Hannes Peter and Mridul K. Thomas. Their work appears in journals such as Ecology and Evolution, Ecology Letters, PLoS ONE, North American Journal of Fisheries Management and Transactions of the American Fisheries 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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