Tom Tan

805 citations
18 papers · 531 · h-index 10

Impact in

  • Marketing top 5%
    • Consumer Retail Behavior Studies
    • Consumer Market Behavior and Pricing
    • Supply Chain and Inventory Management
    • Advanced Queuing Theory Analysis

Papers in

Tom Tan

18 papers receiving 519 citations

Peers

Tom Tan
Comparison fields: 5 of 79
  • Marketing 150
  • Management Information Systems 142
  • Emergency Medical Services 63
  • Organizational Behavior and Human Resource Management 66
  • Information Systems and Management 41
Replace David Dobrzykowski with:
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Tom Tan relative to David Dobrzykowski United States David Dobrzykowski's profile →
Citations per field
00.5×1.5×
David Dobrzykowski · 1×
Citations per year

Countries citing papers authored by Tom Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tom Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Tom Tan, 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 Tan Line = papers co-authored together Tom Tan links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2014237
2 201971
3 201966
4 202024
5 202123
6 201720
7 201818
8 202315
9 202212
10 201711
11 20219
12 20169
13 20124
14 20153
15 20123
16 20173
17 20202
18 20121

About Tom Tan

Tom Tan is a scholar working on Management Information Systems, Marketing, Economics and Econometrics, Management Science and Operations Research and Communication, having authored 18 papers that have together received 531 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (10 papers), Consumer Retail Behavior Studies (9 papers), Supply Chain and Inventory Management (8 papers), Advanced Queuing Theory Analysis (3 papers), Knowledge Management and Sharing (2 papers), Insurance and Financial Risk Management (2 papers), Innovation and Knowledge Management (2 papers) and Economics of Agriculture and Food Markets (1 paper). The work is most often cited by research in Marketing (150 citations), Management Information Systems (142 citations), Emergency Medical Services (63 citations), Organizational Behavior and Human Resource Management (66 citations) and Information Systems and Management (41 citations). Tom Tan has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Serguei Netessine, Bradley R. Staats, Nitish Jain, Fei Gao, Stanley Frederick W.T. Lim, Amy C. Edmondson, Melissa Valentine and Lorin M. Hitt. Their work appears in journals such as Management Science, Manufacturing & Service Operations Management, Information Systems Research, Production and Operations Management and SMU Scholar (Southern Methodist University).

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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