Tom Jackson

109 papers receiving 1.7k citations

Tom Jackson's Hit Papers

Neural Computing - An Introduction 1990 · 486 citations
4860+12+24Years since publication100200300400

Peers

Tom Jackson
Comparison fields: 5 of 180
  • Information Systems and Management 236
  • Communication 113
  • Human-Computer Interaction 72
  • Health Informatics 14
  • Medical Terminology 2
Replace Atika Qazi with:
Atika Qazi Brunei
Lan Umek Slovenia
Angelos Markos Greece
Jan van den Berg Netherlands
Ben Hicks United Kingdom
Michael Gusenbauer Austria
Zhaohui Chen China
Shimei Pan United States
Jintao Li China
Tom Jackson relative to Atika Qazi Brunei Atika Qazi's profile →
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Citations per year

Countries citing papers authored by Tom Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Tom Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural Computing - An Introduction
Hit paper breakdown →
1990486
2 2001112
3 2020103
4 200277
5 200674
6 201770
7 200757
8 201454
9 200454
10 201347
11
Emotive ontology: extracting fine-grained emotions from terse, informal messages
201345
12 201532
13 201630
14 201730
15 201329
16 200521
17 196121
18 201818
19 195917
20
Short-Term Traffic Prediction Using a Binary Neural Network.
201116

About Tom Jackson

Tom Jackson is a scholar working on Information Systems and Management, Computational Mechanics, Artificial Intelligence, Mechanical Engineering and Sociology and Political Science, having authored 118 papers that have together received 1.8k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (17 papers), Knowledge Management and Sharing (11 papers), Usability and User Interface Design (8 papers), Data Quality and Management (7 papers), Fluid Dynamics and Turbulent Flows (7 papers), Agricultural Economics and Policy (6 papers), Heat Transfer and Optimization (5 papers) and Team Dynamics and Performance (5 papers). The work is most often cited by research in Information Systems and Management (236 citations), Communication (113 citations), Human-Computer Interaction (72 citations), Health Informatics (14 citations) and Medical Terminology (2 citations). Tom Jackson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Russell Beale, Ray Dawson, Darren Wilson, Martin Sýkora, Ian Murray, Abdullah Ibrahim Alkraiji, Janet Edwards, Joby Boxall, S. R. Mounce and Suzanne Elayan. Their work appears in journals such as Journal of Heat Transfer, Journal of the Association for Information Systems, Australian Journal of Agricultural and Resource Economics, BMJ and Journal of Occupational and Organizational Psychology.

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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