Robert E. Tillman
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Acute Myeloid Leukemia Research
Papers in
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- Bayesian Modeling and Causal Inference 7
- Machine Learning and Data Classification 3
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Co-authors
- Dan R. Littman (2 shared papers)Yoshinori Naoe (2 shared papers)Takeshi Egawa (2 shared papers)Ichiro Taniuchi (2 shared papers)Peter Spirtes (4 shared papers)Barry P. Sleckman (5 shared papers)Prashant Reddy (2 shared papers)Manuela Veloso (2 shared papers)
- Journals
- The Journal of Experimental Medicine (3 papers)The Journal of Immunology (2 papers)Journal of Public Health Management and Practice (1 paper)BMC Medical Education (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Robert E. Tillman
18 papers receiving 811 citations
Peers
Comparison fields: 5 of 86
- Immunology 444
- Hematology 55
- Management Science and Operations Research 64
- Artificial Intelligence 161
- Oncology 118
Countries citing papers authored by Robert E. Tillman
This map shows the geographic impact of Robert E. Tillman'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 Robert E. Tillman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Tillman more than expected).
Fields of papers citing papers by Robert E. Tillman
This network shows the impact of papers produced by Robert E. Tillman. 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 Robert E. Tillman. The network helps show where Robert E. Tillman may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert E. Tillman, 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 | 2007 | 232 | |
| 2 | 2008 | 224 | |
| 3 | 2020 | 104 | |
| 4 | Integrating Locally Learned Causal Structures with Overlapping Variables | 2008 | 38 |
| 5 | 2003 | 29 | |
| 6 | 2003 | 28 | |
| 7 | Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables | 2011 | 27 |
| 8 | Nonlinear directed acyclic structure learning with weakly additive noise models | 2009 | 23 |
| 9 | 2013 | 23 | |
| 10 | 2009 | 21 | |
| 11 | 2004 | 20 | |
| 12 | 2002 | 19 | |
| 13 | 2003 | 17 | |
| 14 | 2014 | 12 | |
| 15 | When causality matters for prediction: investigating the practical tradeoffs | 2008 | 4 |
| 16 | 2024 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Robert E. Tillman
Robert E. Tillman is a scholar working on Artificial Intelligence, Immunology, Molecular Biology, Information Systems and Oncology, having authored 20 papers that have together received 826 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Machine Learning and Data Classification (3 papers), DNA Repair Mechanisms (2 papers), Data Mining Algorithms and Applications (2 papers), CAR-T cell therapy research (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Immunology (444 citations), Hematology (55 citations), Management Science and Operations Research (64 citations), Artificial Intelligence (161 citations) and Oncology (118 citations). Robert E. Tillman has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Dan R. Littman, Yoshinori Naoe, Takeshi Egawa, Ichiro Taniuchi, Peter Spirtes, Barry P. Sleckman, Prashant Reddy, Manuela Veloso, Samuel Assefa and Clark Glymour. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology, Journal of Public Health Management and Practice, BMC Medical Education and Proceedings of the National Academy of Sciences.
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.