Tom Hope
Impact in
- Health Informatics top 10%
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
-
- Topic Modeling 10
- Advanced Text Analysis Techniques 8
- Natural Language Processing Techniques 4
-
- Biomedical Text Mining and Ontologies 5
- Co-authors
- Dafna Shahaf (9 shared papers)Aniket Kittur (6 shared papers)Joel Chan (6 shared papers)Masahiro Hamasaki (8 shared papers)Takuichi Nishimura (9 shared papers)Joseph Chee Chang (2 shared papers)Daniel S. Weld (7 shared papers)Eric Horvitz (4 shared papers)
- Journals
- Artificial Intelligence in Medicine (1 paper)Research Involvement and Engagement (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Journal of Contemporary Religion (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Tom Hope
44 papers receiving 476 citations
Peers
Comparison fields: 5 of 99
- Health Informatics 15
- Human-Computer Interaction 51
- Computer Science Applications 47
- Artificial Intelligence 200
- Information Systems and Management 29
Countries citing papers authored by Tom Hope
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
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.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2018 | 47 | |
| 3 | 2017 | 42 | |
| 4 | 2009 | 29 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 18 | |
| 7 | 2006 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 15 | |
| 11 | 2009 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2022 | 13 | |
| 14 | 2024 | 13 | |
| 15 | 2006 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2024 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2015 | 11 |
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.