Richard Tomsett

1.3k citations
17 papers · 614 indexed · h-index 9

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

Richard Tomsett

17 papers receiving 596 citations

Peers

Richard Tomsett
Comparison fields: 5 of 136
  • Health Informatics 49
  • Biophysics 79
  • Safety Research 74
  • Artificial Intelligence 262
  • General Decision Sciences 15
Replace David Alonso-Ríos with:
David Alonso-Ríos Spain
Shan Carter United States
Thomas C. King United Kingdom
José Bobes-Bascarán Spain
Ángel Fernández-Leal Spain
James Wexler United States
Sayash Kapoor United States
Tarek R. Besold Germany
Kostiantyn Kucher Sweden
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Citations per field
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David Alonso-Ríos · 1×
Citations per year

Countries citing papers authored by Richard Tomsett

Since Specialization
Citations

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

Fields of papers citing papers by Richard Tomsett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 202270
2 202111
3 202084
4 20192
5 20193
6 201914
7 20193
8 20193
9 20194
10 20182
11
Integrating learning and reasoning services for explainable information fusion
20189
12 201812
13 20171
14 2017246
15 20176
16 201424
17 2008120

About Richard Tomsett

Richard Tomsett is a scholar working on General Decision Sciences, Artificial Intelligence, Management Information Systems, Biophysics and Information Systems and Management, having authored 17 papers that have together received 614 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (7 papers), Adversarial Robustness in Machine Learning (6 papers), Bayesian Modeling and Causal Inference (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Memory and Neural Computing (2 papers), Energy Efficient Wireless Sensor Networks (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Health Informatics (49 citations), Biophysics (79 citations), Safety Research (74 citations), Artificial Intelligence (262 citations) and General Decision Sciences (15 citations). Richard Tomsett has collaborated with scholars based in United Kingdom, United States and Türkiye. Frequent co-authors include Supriyo Chakraborty, Dave Braines, Alun Preece, Mani Srivastava, Federico Cerutti, Tasnim Munshi, G.F. Lynch, Kristian Page, Howell G. M. Edwards and Michael D. Hargreaves. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, Patterns, Journal of Raman Spectroscopy, SHILAP Revista de lepidopterología and ORCA Online Research @Cardiff (Cardiff 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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