Thomas Green

1.1k citations
25 papers · 502 · h-index 10

Impact in

Papers in

Thomas Green

22 papers receiving 483 citations

Peers

Thomas Green
Comparison fields: 5 of 108
  • Cellular and Molecular Neuroscience 233
  • Human-Computer Interaction 63
  • Behavioral Neuroscience 22
  • Software 23
  • Cognitive Neuroscience 100
Replace João Castelhano with:
João Castelhano Portugal
Aleksandar Kovačević Serbia
Daniel Klement Czechia
Xiaolin Xiao China
Kelly Shen Canada
G. R. Gnana King United States
Данко Георгиев United States
Mohammad Reza Faisal Indonesia
Nitish Mittal United States
Miguel A. Marín United States
Thomas Green relative to João Castelhano Portugal João Castelhano's profile →
Citations per field
00.5×3.1×
João Castelhano · 1×
Citations per year

Countries citing papers authored by Thomas Green

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006266
2
Cognitive Dimensions of Information Artefacts: a tutorial
199866
3 200828
4 200821
5 197217
6 200416
7 201014
8 200314
9 200914
10 19689
11 20197
12 20244
13 19684
14
OSM: an ontology-based approach to usability evaluation
19974
15 20194
16 20123
17 20193
18 20242
19 20022
20 19681

About Thomas Green

Thomas Green is a scholar working on Molecular Biology, Artificial Intelligence, Biomedical Engineering, Surgery and Information Systems, having authored 25 papers that have together received 502 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (3 papers), Usability and User Interface Design (3 papers), History and Theory of Mathematics (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Semantic Web and Ontologies (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (233 citations), Human-Computer Interaction (63 citations), Behavioral Neuroscience (22 citations), Software (23 citations) and Cognitive Neuroscience (100 citations). Thomas Green has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Eric J. Nestler, Daniel Saal, Yan Dong, Rachael L. Neve, Robert C. Malenka, Hélène Marie, Alan F. Blackwell, Ann Blandford, Charles W. Ross and Douglas C. Jones. Their work appears in journals such as ASAIO Journal, Biological Psychiatry, Cell Genomics, Brain Research and Nature Neuroscience.

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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