Peter Morgan

900 citations
29 papers · 607 · h-index 10

Impact in

Papers in

    • Neural Networks and Applications 4
    • Consumer Market Behavior and Pricing 3
    • Consumer Behavior in Brand Consumption and Identification 2

Peter Morgan

28 papers receiving 573 citations

Peers

Peter Morgan
Comparison fields: 5 of 141
  • Management Science and Operations Research 179
  • Marketing 53
  • Health Informatics 7
  • Computational Theory and Mathematics 75
  • Artificial Intelligence 140
Replace Bor‐Wen Cheng with:
Bor‐Wen Cheng Taiwan
José Ignacio Peláez Spain
Wanru Wang China
Michael Conklin United States
Anthony C. Constantinou United Kingdom
Xinxin Wang China
Chris Tofallis United Kingdom
Sigifredo Laengle Chile
Noelia García Spain
Peter Morgan relative to Bor‐Wen Cheng Taiwan Bor‐Wen Cheng's profile →
Citations per field
00.5×3.1×
Bor‐Wen Cheng · 1×
Citations per year

Countries citing papers authored by Peter Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Peter Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000282
2 201754
3 200236
4 201732
5 200029
6 200123
7 200917
8 201714
9 201612
10 201612
11 19999
12 20159
13 19809
14 19789
15 20168
16 20177
17 20007
18 20137
19 20107
20
Development control : law, policy and practice
19955

About Peter Morgan

Peter Morgan is a scholar working on Artificial Intelligence, Marketing, Management Science and Operations Research, Food Science and Organic Chemistry, having authored 29 papers that have together received 607 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Sensory Analysis and Statistical Methods (3 papers), Consumer Market Behavior and Pricing (3 papers), Gun Ownership and Violence Research (2 papers), Stock Market Forecasting Methods (2 papers), Rough Sets and Fuzzy Logic (2 papers), Consumer Behavior in Brand Consumption and Identification (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Management Science and Operations Research (179 citations), Marketing (53 citations), Health Informatics (7 citations), Computational Theory and Mathematics (75 citations) and Artificial Intelligence (140 citations). Peter Morgan has collaborated with scholars based in United Kingdom, China and France. Frequent co-authors include Bruce Curry, Malcolm J. Beynon, Saeed Heravi, Mick Silver, Ji Yan, J. Shepherd, Kent Matthews, Nicholas Page, Ida M. Friberg and Nicholas Topley. Their work appears in journals such as European Journal of Marketing, Injury, The Behavior Analyst, Criminal Behaviour and Mental Health and Injury Prevention.

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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