Michael C. Orr

105 papers receiving 2.1k citations

Michael C. Orr's Hit Papers

Sampling biases shape our view of the natural world 2021 · 331 citations
3310+2+4Years since publication100200300

Peers

Michael C. Orr
Comparison fields: 5 of 128
  • Ecological Modeling 416
  • Ecology, Evolution, Behavior and Systematics 953
  • Insect Science 531
  • Nature and Landscape Conservation 345
  • Ecology 490
Replace Peter T. Green with:
Peter T. Green Australia
Rodrigo Ramos‐Jiliberto Chile
Winfried Voigt Germany
Lars Pettersson Sweden
Bruno Rossaro Italy
Bertrand Fournier Switzerland
Emily K. Meineke United States
Nicolas Loeuille France
Pavel Kratina United Kingdom
Francisco Rodríguez‐Sánchez Spain
Michael C. Orr relative to Peter T. Green Australia Peter T. Green's profile →
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Countries citing papers authored by Michael C. Orr

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Orr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Orr. 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 Michael C. Orr. The network helps show where Michael C. Orr may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sampling biases shape our view of the natural world
Hit paper breakdown →
2021331
2
Global Patterns and Drivers of Bee Distribution
Hit paper breakdown →
2020249
3 2005228
4 201997
5 201484
6 201854
7 202352
8 201946
9 202143
10 202043
11 201243
12 201343
13 202140
14 202139
15 201837
16 202236
17 202336
18 202027
19 202427
20 202224

About Michael C. Orr

Michael C. Orr is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science, Genetics, Plant Science and Ecological Modeling, having authored 121 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant and animal studies (74 papers), Insect and Pesticide Research (42 papers), Insect and Arachnid Ecology and Behavior (35 papers), Species Distribution and Climate Change (23 papers), Plant Parasitism and Resistance (20 papers), Ecology and Vegetation Dynamics Studies (16 papers), Insect-Plant Interactions and Control (8 papers) and Genetic diversity and population structure (7 papers). The work is most often cited by research in Ecological Modeling (416 citations), Ecology, Evolution, Behavior and Systematics (953 citations), Insect Science (531 citations), Nature and Landscape Conservation (345 citations) and Ecology (490 citations). Michael C. Orr has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Chao‐Dong Zhu, Alice C. Hughes, Huijie Qiao, Dennis E. Jelinski, John S. Ascher, Martin Zimmer, Malte Mews, Douglas Chesters, Qinmin Yang and Dean P. Jones. Their work appears in journals such as Zootaxa, Basic and Applied Ecology, Ecography, Molecular Ecology Resources 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.

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