Tom Hope

957 total citations
43 papers, 407 citations indexed

About

Tom Hope is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Tom Hope has authored 43 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Tom Hope's work include Topic Modeling (10 papers), Advanced Text Analysis Techniques (8 papers) and Biomedical Text Mining and Ontologies (5 papers). Tom Hope is often cited by papers focused on Topic Modeling (10 papers), Advanced Text Analysis Techniques (8 papers) and Biomedical Text Mining and Ontologies (5 papers). Tom Hope collaborates with scholars based in United States, Israel and Japan. Tom Hope's co-authors include Dafna Shahaf, Aniket Kittur, Joel Chan, Takuichi Nishimura, Daniel S. Weld, Masahiro Hamasaki, Eric Horvitz, Joseph Chee Chang, Robert E. Kraut and Hila Lifshitz‐Assaf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Communications of the ACM and Computers in Biology and Medicine.

In The Last Decade

Tom Hope

38 papers receiving 394 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Hope United States	13	178	70	49	41	36	43	407
Marianne Lykke Denmark	10	127 0.7×	131 1.9×	22 0.4×	19 0.5×	50 1.4×	56	328
Ying‐Hsang Liu Australia	13	132 0.7×	149 2.1×	35 0.7×	35 0.9×	27 0.8×	58	449
Atoosa Kasirzadeh United Kingdom	9	194 1.1×	37 0.5×	21 0.4×	31 0.8×	21 0.6×	22	482
Mengxiao Zhu United States	12	172 1.0×	69 1.0×	19 0.4×	15 0.4×	148 4.1×	41	554
Craig M. MacDonald United States	13	100 0.6×	165 2.4×	10 0.2×	37 0.9×	66 1.8×	47	422
Kevin Biolsi United States	8	72 0.4×	43 0.6×	17 0.3×	106 2.6×	17 0.5×	11	421
Daniel Manrique Spain	12	152 0.9×	109 1.6×	52 1.1×	28 0.7×	137 3.8×	42	663
Rodrigo Bonacin Brazil	11	89 0.5×	118 1.7×	16 0.3×	25 0.6×	23 0.6×	82	357
Chin-Wen Liao Taiwan	10	63 0.4×	58 0.8×	9 0.2×	20 0.5×	71 2.0×	56	441
Daphne Ippolito United States	12	355 2.0×	152 2.2×	11 0.2×	60 1.5×	21 0.6×	21	599

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-authorship network of co-authors of Tom Hope

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Hope. A scholar is included among the top collaborators of Tom Hope based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tom Hope. Tom Hope is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wadden, David, Alan Li, Aakanksha Naik, et al.. (2025). SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. 6083–6120.

Grossman, Tovi, et al.. (2025). IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback. 1–31. 4 indexed citations

Siangliulue, Pao, et al.. (2025). Literature-Grounded Novelty Assessment of Scientific Ideas. 96–113.

Hope, Tom, et al.. (2024). Cancer mutational signatures identification in clinical assays using neural embedding-based representations. Cell Reports Medicine. 5(6). 101608–101608. 4 indexed citations

Hope, Tom, et al.. (2024). Graph convolution networks model identifies and quantifies gene and cancer specific transcriptome signatures of cancer driver events. Computers in Biology and Medicine. 185. 109491–109491. 1 indexed citations

D’Arcy, Mike, et al.. (2024). ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. 6985–7001. 1 indexed citations

Feldman, Sergey, et al.. (2024). On-the-fly Definition Augmentation of LLMs for Biomedical NER. 3833–3854.

Wang, Qingyun, et al.. (2024). SciMON: Scientific Inspiration Machines Optimized for Novelty. 279–299. 6 indexed citations

Hope, Tom, Doug Downey, Daniel S. Weld, Oren Etzioni, & Eric Horvitz. (2023). A Computational Inflection for Scientific Discovery. Communications of the ACM. 66(8). 62–73. 14 indexed citations

10.

Schölkopf, Bernhard, et al.. (2023). Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. Repository for Publications and Research Data (ETH Zurich). 415–438. 1 indexed citations

11.

Sason, Hagit, et al.. (2023). Extending the boundaries of cancer therapeutic complexity with literature text mining. Artificial Intelligence in Medicine. 145. 102681–102681. 1 indexed citations

12.

Lo, Kyle, Chandra Bhagavatula, Bailey Kuehl, et al.. (2022). ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. 200–213. 3 indexed citations

13.

Mysore, Sheshera, Arman Cohan, & Tom Hope. (2022). Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 4453–4470. 13 indexed citations

14.

Shé, Éidín Ní, Tom Hope, Teresa McNally, et al.. (2021). “Could you give us an idea on what we are all doing here?” the Patient Voice in Cancer Research (PVCR) starting the journey of involvement in Ireland. Research Involvement and Engagement. 7(1). 63–63. 3 indexed citations

15.

Hope, Tom, et al.. (2020). Viral Science: Masks, Speed Bumps, and Guard Rails. Patterns. 1(6). 100101–100101. 3 indexed citations

16.

Hope, Tom & Dafna Shahaf. (2018). Ballpark Crowdsourcing. 234–242. 2 indexed citations

17.

Hope, Tom, et al.. (2018). Exploring the Creation of Useful Interfaces for Music Therapists. 1–7. 3 indexed citations

18.

Strong, Tom, et al.. (2008). Karl Tomm’s Collaborative Approaches to Counselling. Canadian Journal of Counselling and Psychotherapy. 42(3). 174–191. 6 indexed citations

19.

Takeda, Hideaki, Takuichi Nishimura, Masahiro Hamasaki, et al.. (2006). CONTEXT-AWARE WEBLOG TO ENHANCE COMMUNICATION AMONG PARTICIPANTS IN A CONFERENCE. 400–407.

20.

Hope, Tom, Masahiro Hamasaki, Yutaka Matsuo, & Takuichi Nishimura. (2006). Strengthening Community with Embodied Social Networks. 1 indexed citations

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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