A. E. Waterman‐Pearson

3.2k citations
39 papers · 2.4k indexed · h-index 24

A. E. Waterman‐Pearson

39 papers receiving 2.2k citations

Peers

A. E. Waterman‐Pearson
Comparison fields: 5 of 103
  • Equine 785
  • Small Animals 1.9k
  • Animal Science and Zoology 704
  • Anesthesiology and Pain Medicine 170
  • Speech and Hearing 106
Replace Stélio Pacca Loureiro Luna with:
Stélio Pacca Loureiro Luna Brazil
Joanna C. Murrell United Kingdom
Andrea M. Nolan United Kingdom
A.E. Waterman United Kingdom
A. Nolan United Kingdom
Marja Raekallio Finland
Paulo V. Steagall Canada
A. Nolan United Kingdom
Claudia Spadavecchia Switzerland
Thomas J. Doherty United States
A. E. Waterman‐Pearson relative to Stélio Pacca Loureiro Luna Brazil Stélio Pacca Loureiro Luna's profile →
Citations per field
00.5×1.7×
Stélio Pacca Loureiro Luna · 1×
Citations per year

Countries citing papers authored by A. E. Waterman‐Pearson

Since Specialization
Citations

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

Fields of papers citing papers by A. E. Waterman‐Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. E. Waterman‐Pearson. 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 A. E. Waterman‐Pearson. The network helps show where A. E. Waterman‐Pearson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201414
2 201321
3 201262
4 201123
5 201113
6 20117
7
DEVELOPMENT OF NEW TECHNIQUES TO ASSESS PAIN IN DOMESTIC CHICKENS
20101
8 200620
9 200572
10 200377
11 200148
12 200149
13 2000114
14 20003
15 200078
16 20002
17 19992
18 1999185
19 199838
20 1998177

About A. E. Waterman‐Pearson

A. E. Waterman‐Pearson is a scholar working on Equine, Small Animals, Animal Science and Zoology, Pharmacology and Physiology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Veterinary Pharmacology and Anesthesia (23 papers), Veterinary Equine Medical Research (15 papers), Anesthesia and Pain Management (11 papers), Animal Nutrition and Physiology (9 papers), Animal Behavior and Welfare Studies (8 papers), Pain Mechanisms and Treatments (7 papers), Meat and Animal Product Quality (5 papers) and Pharmacological Effects and Assays (5 papers). The work is most often cited by research in Equine (785 citations), Small Animals (1.9k citations), Animal Science and Zoology (704 citations), Anesthesiology and Pain Medicine (170 citations) and Speech and Hearing (106 citations). A. E. Waterman‐Pearson has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Louisa S Slingsby, B. Duncan X. Lascelles, Colin Capner, HR Whay, T. C. Danbury, S. Kestin, Claire A Weeks, Alan J. Jones, Joanna C. Murrell and J.P. Chambers. Their work appears in journals such as Veterinary Record, Veterinary Anaesthesia and Analgesia, Research in Veterinary Science, PLoS ONE and Equine Veterinary Journal.

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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