P. E. Howse

3.3k citations
77 papers · 2.2k · h-index 28

Impact in

Papers in

P. E. Howse

77 papers receiving 2.0k citations

Peers

P. E. Howse
Comparison fields: 5 of 100
  • Insect Science 1.1k
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Genetics 1.1k
  • Developmental Biology 48
  • Cellular and Molecular Neuroscience 298
Replace Sadahiro Tatsuki with:
Sadahiro Tatsuki Japan
Susanne Dobler Germany
Raúl Alberto Laumann Brazil
W. V. Brown Australia
Astrid T. Groot Netherlands
Anne C. Gaskett New Zealand
M. C. Birch United States
Michel Renou France
Alain Lenoir France
Blanka Kalinová Czechia
P. E. Howse relative to Sadahiro Tatsuki Japan Sadahiro Tatsuki's profile →
Citations per field
00.5×1.5×
Sadahiro Tatsuki · 1×
Citations per year

Countries citing papers authored by P. E. Howse

Since Specialization
Citations

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

Fields of papers citing papers by P. E. Howse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998270
2 1980112
3 199388
4 199587
5 198785
6 197574
7 197972
8 199451
9 197951
10 200150
11 199450
12
Biosystematics of social insects
198148
13 196547
14 199946
15 196446
16 199644
17 197543
18 197138
19 197938
20 196437

About P. E. Howse

P. E. Howse is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science, Cellular and Molecular Neuroscience and Plant Science, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (44 papers), Plant and animal studies (41 papers), Insect and Pesticide Research (21 papers), Neurobiology and Insect Physiology Research (14 papers), Insect behavior and control techniques (10 papers), Insect Pest Control Strategies (9 papers), Animal Behavior and Reproduction (7 papers) and Insect Pheromone Research and Control (6 papers). The work is most often cited by research in Insect Science (1.1k citations), Ecology, Evolution, Behavior and Systematics (1.2k citations), Genetics (1.1k citations), Developmental Biology (48 citations) and Cellular and Molecular Neuroscience (298 citations). P. E. Howse has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include F. A. Talukder, O. T. Jones, I. D. R. Stevens, R. BAKER, Chris Longhurst, Klaus Jaffé, John W.S. Bradshaw, Dave Goulson, C. W. Jackson and P. C. Jepson. Their work appears in journals such as Physiological Entomology, Animal Behaviour, Journal of Insect Physiology, Insectes Sociaux and Cellular and Molecular Life Sciences.

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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