Tom Hope

44 papers receiving 476 citations

Peers

Tom Hope
Comparison fields: 5 of 99
  • Health Informatics 15
  • Human-Computer Interaction 51
  • Computer Science Applications 47
  • Artificial Intelligence 200
  • Information Systems and Management 29
Replace Seolhwa Lee with:
Seolhwa Lee South Korea
John Joon Young Chung United States
Memo Akten United Kingdom
Ruotong Wang United States
Md. Saifuddin Khalid Denmark
Hope Schroeder United States
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Tom Hope relative to Seolhwa Lee South Korea Seolhwa Lee's profile →
Citations per field
00.5×1.5×2.4×
Seolhwa Lee · 1×
Citations per year

Countries citing papers authored by Tom Hope

Since Specialization
Citations

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

Fields of papers citing papers by Tom Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201847
3 201742
4 200929
5 202224
6 202218
7 200618
8 202116
9 202216
10 202215
11 200915
12 202315
13 202213
14 202413
15 200613
16 202013
17 202411
18 201811
19 202211
20 201511

About Tom Hope

Tom Hope is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 50 papers that have together received 496 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Advanced Text Analysis Techniques (8 papers), Biomedical Text Mining and Ontologies (5 papers), Innovative Human-Technology Interaction (5 papers), Natural Language Processing Techniques (4 papers), Data Visualization and Analytics (3 papers), Software Engineering Research (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Health Informatics (15 citations), Human-Computer Interaction (51 citations), Computer Science Applications (47 citations), Artificial Intelligence (200 citations) and Information Systems and Management (29 citations). Tom Hope has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Dafna Shahaf, Aniket Kittur, Joel Chan, Masahiro Hamasaki, Takuichi Nishimura, Joseph Chee Chang, Daniel S. Weld, Eric Horvitz, Felicia Ng and Hideaki Takeda. Their work appears in journals such as Artificial Intelligence in Medicine, Research Involvement and Engagement, Proceedings of the ACM on Human-Computer Interaction, Journal of Contemporary Religion and Cell Reports Medicine.

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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