Patrick Leary
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Literature and Literary Theory top 10%
- Digital Humanities and Scholarship
Papers in
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- Digital Humanities and Scholarship 2
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- Species Distribution and Climate Change 4
- Co-authors
- Katja Schulz (3 shared papers)Cynthia Parr (3 shared papers)Jennifer Hammock (3 shared papers)Indra Neil Sarkar (1 shared paper)David J. Patterson (1 shared paper)David Remsen (1 shared paper)Francesca J. Cuthbert (1 shared paper)John Wieczorek (1 shared paper)
- Journals
- Bioinformatics (2 papers)Victorian periodicals review (2 papers)Semantic Web (1 paper)Journal of Victorian Culture (1 paper)ZooKeys (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Patrick Leary
13 papers receiving 278 citations
Peers
Comparison fields: 5 of 95
- Ecological Modeling 74
- Literature and Literary Theory 48
- Conservation 14
- Ecology 98
- Nature and Landscape Conservation 35
Countries citing papers authored by Patrick Leary
This map shows the geographic impact of Patrick Leary'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 Patrick Leary with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Leary more than expected).
Fields of papers citing papers by Patrick Leary
This network shows the impact of papers produced by Patrick Leary. 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 Patrick Leary. The network helps show where Patrick Leary may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Leary, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 144 | |
| 2 | 2005 | 39 | |
| 3 | 2016 | 23 | |
| 4 | 2007 | 22 | |
| 5 | 2009 | 21 | |
| 6 | 2010 | 20 | |
| 7 | 2013 | 19 | |
| 8 | 2015 | 14 | |
| 9 | 2014 | 8 | |
| 10 | 2015 | 6 | |
| 11 | 2000 | 4 | |
| 12 | 2000 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 1995 | 1 |
About Patrick Leary
Patrick Leary is a scholar working on Literature and Literary Theory, Ecological Modeling, Molecular Biology, Ecology and History, having authored 14 papers that have together received 325 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (4 papers), Cultural History and Identity Formation (2 papers), Biomedical Text Mining and Ontologies (2 papers), Digital Humanities and Scholarship (2 papers), Scottish History and National Identity (2 papers), Historical Studies on Reproduction, Gender, Health, and Societal Changes (1 paper), Language and cultural evolution (1 paper) and Avian ecology and behavior (1 paper). The work is most often cited by research in Ecological Modeling (74 citations), Literature and Literary Theory (48 citations), Conservation (14 citations), Ecology (98 citations) and Nature and Landscape Conservation (35 citations). Patrick Leary has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Katja Schulz, Cynthia Parr, Jennifer Hammock, Indra Neil Sarkar, David J. Patterson, David Remsen, Francesca J. Cuthbert, John Wieczorek, Annette M. Olson and G. Riccardi. Their work appears in journals such as Bioinformatics, Victorian periodicals review, Semantic Web, Journal of Victorian Culture and ZooKeys.
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.