Maria E. Orive

1.0k citations
23 papers · 740 · h-index 15

Impact in

Papers in

Maria E. Orive

23 papers receiving 704 citations

Peers

Maria E. Orive
Comparison fields: 5 of 89
  • Genetics 449
  • Ecology, Evolution, Behavior and Systematics 221
  • Virology 44
  • Nature and Landscape Conservation 90
  • Ecological Modeling 31
Replace Tae‐Kun Seo with:
Tae‐Kun Seo Japan
Tomás A. Revilla Czechia
Jon Yamato United States
Susan Lawler Australia
Sandra Lass Switzerland
Alison Devault United States
Kritika M. Garg India
Carola Greve Germany
Jean-François Mauffrey France
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Citations per field
00.5×2.8×
Tae‐Kun Seo · 1×
Citations per year

Countries citing papers authored by Maria E. Orive

Since Specialization
Citations

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

Fields of papers citing papers by Maria E. Orive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993107
2 199599
3 200985
4 200169
5 200264
6 200437
7 199537
8 201733
9 201725
10 200324
11 200023
12 200218
13 201915
14 201815
15 201514
16 202114
17 200013
18 200411
19 202011
20 20189

About Maria E. Orive

Maria E. Orive is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Public Health, Environmental and Occupational Health, Plant Science and Sociology and Political Science, having authored 23 papers that have together received 740 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (16 papers), Genetic diversity and population structure (9 papers), Plant and animal studies (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Animal Behavior and Reproduction (3 papers), Wheat and Barley Genetics and Pathology (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Genetics (449 citations), Ecology, Evolution, Behavior and Systematics (221 citations), Virology (44 citations), Nature and Landscape Conservation (90 citations) and Ecological Modeling (31 citations). Maria E. Orive has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sarah P. Otto, Scott Williamson, John K. Kelly, Robert D. Holt, Michael Barfield, Tara N. Marriage, Marjorie A. Asmussen, Ruth G. Shaw, Stephen P. Hudman and Mark E. Mort. Their work appears in journals such as The American Naturalist, Genetics, Molecular Biology and Evolution, Journal of Theoretical Biology and Theoretical Population 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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