Peter W. Shaw

1.7k citations
75 papers · 1.3k · h-index 19

Impact in

Papers in

Peter W. Shaw

72 papers receiving 1.2k citations

Peers

Peter W. Shaw
Comparison fields: 5 of 84
  • Insect Science 443
  • Cardiology and Cardiovascular Medicine 404
  • Radiology, Nuclear Medicine and Imaging 388
  • Ecology, Evolution, Behavior and Systematics 207
  • Physiology 127
Replace Alan D. Fleming with:
Alan D. Fleming United States
Daniel Suárez Spain
J. M. Slavicek Czechia
H. J. B. Lowe Hungary
John C. Parr United States
Alain Drouet France
Chris Walker United Kingdom
Thomas C. Gibson United States
Ulrich R Mueller United States
Ahmed Atef Egypt
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Citations per field
00.5×5×10×17.3×
Alan D. Fleming · 1×
Citations per year

Countries citing papers authored by Peter W. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Peter W. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter W. Shaw. 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 Peter W. Shaw. The network helps show where Peter W. Shaw may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016186
2 2015120
3 201495
4 201876
5 202171
6 200058
7 201349
8 201940
9 199840
10 200337
11 201637
12 199231
13 201022
14 199821
15 199621
16 200720
17 200820
18 201519
19 201819
20 199719

About Peter W. Shaw

Peter W. Shaw is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Plant Science, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (33 papers), Forest Insect Ecology and Management (15 papers), Insect Pheromone Research and Control (11 papers), Cardiac Imaging and Diagnostics (11 papers), Research on scale insects (10 papers), Insect behavior and control techniques (9 papers), Plant and animal studies (6 papers) and Insect Pest Control Strategies (6 papers). The work is most often cited by research in Insect Science (443 citations), Cardiology and Cardiovascular Medicine (404 citations), Radiology, Nuclear Medicine and Imaging (388 citations), Ecology, Evolution, Behavior and Systematics (207 citations) and Physiology (127 citations). Peter W. Shaw has collaborated with scholars based in New Zealand, United States and Sweden. Frequent co-authors include Christopher M. Kramer, Michael Salerno, Jorge Alberto Castañón González, J.T.S. Walker, Pelbreton C. Balfour, David Maxwell Suckling, Yang Yang, Cameron Coleman, Amit R. Patel and C.H. Wearing. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, The American Journal of Cardiology, Proceedings of the New Zealand Weed Control Conference, Frontiers in Cardiovascular Medicine and Journal of Economic Entomology.

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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