John M. Betts

700 citations
33 papers · 428 · h-index 11

Impact in

Papers in

John M. Betts

28 papers receiving 407 citations

Peers

John M. Betts
Comparison fields: 5 of 99
  • Management Information Systems 82
  • Accounting 73
  • Communication 39
  • Finance 35
  • Signal Processing 35
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Siti Hajar Othman Malaysia
Stephen Roberts United Kingdom
Christopher L. Huntley United States
David Leinweber United States
Munir Majdalawieh United Arab Emirates
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Citations per field
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Citations per year

Countries citing papers authored by John M. Betts

Since Specialization
Citations

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

Fields of papers citing papers by John M. Betts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Betts. 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 John M. Betts. The network helps show where John M. Betts may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200278
2 202172
3 201953
4 198743
5
Using honey dressings: the practical considerations.
200228
6 201220
7 202019
8 201514
9 201513
10 202410
11 200310
12 20148
13 20147
14 20017
15 20246
16 20055
17 20145
18 20225
19 20144
20
A complex systems simulation of planning versus reacting for inventory replenishment
19964

About John M. Betts

John M. Betts is a scholar working on Management Information Systems, Management Science and Operations Research, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Signal Processing, having authored 33 papers that have together received 428 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (9 papers), Data Management and Algorithms (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Advanced Queuing Theory Analysis (3 papers), Advanced Radiotherapy Techniques (3 papers), Advanced X-ray and CT Imaging (3 papers), Optimization and Search Problems (3 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Management Information Systems (82 citations), Accounting (73 citations), Communication (39 citations), Finance (35 citations) and Signal Processing (35 citations). John M. Betts has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Robert B. Johnston, Andrew P. Papliński, Thomas W. Archibald, Lyn C. Thomas, Ana‐Maria Bliuc, Matteo Vergani, Muhammad Iqbal, P. C. Molan, Kevin Dunn and David Taniar. Their work appears in journals such as Medical Physics, New Media & Society, Campbell Systematic Reviews, IMA Journal of Management Mathematics and International Journal of Production Economics.

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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