Tom Hope
- Health Informatics top 10%
- Computer Science Applications top 10%
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction 3
- Artificial Intelligence top 10%
- Topic Modeling 10
- Advanced Text Analysis Techniques 8
- Natural Language Processing Techniques 4
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- Biomedical Text Mining and Ontologies 5
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- Software Engineering Research 3
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- Data Visualization and Analytics 3
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- Computational Drug Discovery Methods 3
- Co-authors
- Dafna ShahafAniket KitturJoel ChanTakuichi NishimuraDaniel S. WeldMasahiro HamasakiEric HorvitzJoseph Chee Chang
- Journals
- Artificial Intelligence in Medicine (1 paper)Research Involvement and Engagement (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Tom Hope
38 papers receiving 394 citations
Peers
Comparison fields: 5 of 94
- Health Informatics 12
- Computer Science Applications 36
- Human-Computer Interaction 32
- Artificial Intelligence 178
- Information Systems and Management 25
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 13 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 55 | |
| 18 | 2018 | 3 | |
| 19 | Karl Tomm’s Collaborative Approaches to Counselling | 2008 | 6 |
| 20 | 2007 | 8 |
About Tom Hope
Tom Hope is a scholar working on Human-Computer Interaction, Computer Science Applications and Artificial Intelligence, having authored 43 papers that have together received 407 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), Natural Language Processing Techniques (4 papers), Software Engineering Research (3 papers), Data Visualization and Analytics (3 papers), Computational Drug Discovery Methods (3 papers) and Innovative Human-Technology Interaction (3 papers). The work is most often cited by research in Health Informatics (12 citations), Computer Science Applications (36 citations) and Human-Computer Interaction (32 citations). Tom Hope has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Dafna Shahaf, Aniket Kittur, Joel Chan, Takuichi Nishimura, Daniel S. Weld, Masahiro Hamasaki, Eric Horvitz, Joseph Chee Chang, Lixiu Yu and Hideaki Takeda. Their work appears in journals such as Artificial Intelligence in Medicine, Research Involvement and Engagement, Cell Reports Medicine, Journal of Contemporary Religion and Patterns.
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.