Tom Chapman

1.3k citations
11 papers · 879 indexed · 1 hit paper · h-index 9

Impact in

Papers in

Tom Chapman

11 papers receiving 846 citations

Hit Papers

Defining operational taxonomic units using DNA barcode data 2005 · 647 citations
6472005202620122019200400600

Peers

Tom Chapman
Comparison fields: 5 of 96
  • Insect Science 200
  • Ecology, Evolution, Behavior and Systematics 301
  • Ecology 287
  • Ecological Modeling 41
  • Genetics 245
Replace Peter D. Fields with:
Peter D. Fields Switzerland
Samuel D. J. Brown New Zealand
Isabelle Meusnier France
Nancy A. Schable United States
Diana Hartley Australia
Fran Thomas France
Natalia V. Ivanova Canada
Pei‐Chun Liao Taiwan
Yan‐Zhou Zhang China
Carmen Palacios France
Tom Chapman relative to Peter D. Fields Switzerland Peter D. Fields's profile →
Citations per field
00.5×1.5×1.8×
Peter D. Fields · 1×
Citations per year

Countries citing papers authored by Tom Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Tom Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Chapman. 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 Tom Chapman. The network helps show where Tom Chapman may publish in the future.

Co-authors

The 17 scholars most cited alongside Tom Chapman, 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 Tom Chapman Line = papers co-authored together Tom Chapman links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202418
2 202012
3 20111
4 201047
5 200616
6
Defining operational taxonomic units using DNA barcode data
Hit paper breakdown →
2005647
7 20038
8 200314
9 200233
10 200115
11 200068

About Tom Chapman

Tom Chapman is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Genetics, Nature and Landscape Conservation and Plant Science, having authored 11 papers that have together received 879 indexed citations. Recurring topics across this work include Plant and animal studies (8 papers), Insect-Plant Interactions and Control (7 papers), Insect and Arachnid Ecology and Behavior (4 papers), Plant Parasitism and Resistance (3 papers), Genetic diversity and population structure (2 papers), Genomics and Phylogenetic Studies (1 paper), Insect behavior and control techniques (1 paper) and Agriculture Sustainability and Environmental Impact (1 paper). The work is most often cited by research in Insect Science (200 citations), Ecology, Evolution, Behavior and Systematics (301 citations), Ecology (287 citations), Ecological Modeling (41 citations) and Genetics (245 citations). Tom Chapman has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Robin Floyd, Fran Thomas, J. Mann, Eyualem Abebe, Mark Blaxter, Claire Whitton, Bernard J. Crespi, Michael P. Schwarz, Michael McLeish and Steven J. Cooper. Their work appears in journals such as Insectes Sociaux, Appetite, Philosophical Transactions of the Royal Society B Biological Sciences, Ecological Entomology and Molecular Phylogenetics and Evolution.

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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