Robert E. Tillman

1.1k total citations
20 papers, 816 citations indexed

About

Robert E. Tillman is a scholar working on Artificial Intelligence, Immunology and Molecular Biology. According to data from OpenAlex, Robert E. Tillman has authored 20 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Robert E. Tillman's work include Bayesian Modeling and Causal Inference (7 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (4 papers). Robert E. Tillman is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (4 papers). Robert E. Tillman collaborates with scholars based in United States, Japan and India. Robert E. Tillman's co-authors include Ichiro Taniuchi, Yoshinori Naoe, Dan R. Littman, Takeshi Egawa, Peter Spirtes, Barry P. Sleckman, Prashant Reddy, Samuel Assefa, Manuela Veloso and Clark Glymour and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Robert E. Tillman

17 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert E. Tillman United States 13 453 191 162 118 62 20 816
Kristen Wolslegel United States 9 454 1.0× 239 1.3× 32 0.2× 131 1.1× 26 0.4× 9 887
Chris Harbron United Kingdom 18 122 0.3× 266 1.4× 57 0.4× 195 1.7× 50 0.8× 41 908
Xinli Hu United States 9 245 0.5× 463 2.4× 196 1.2× 55 0.5× 6 0.1× 13 983
Trond Hellem Bø Norway 13 114 0.3× 626 3.3× 105 0.6× 123 1.0× 8 0.1× 19 991
Robert W. Chen United States 16 225 0.5× 218 1.1× 53 0.3× 497 4.2× 60 1.0× 76 1.0k
Sven Laur Estonia 11 76 0.2× 509 2.7× 310 1.9× 72 0.6× 29 0.5× 27 1.1k
Michael Fuller United States 12 62 0.1× 388 2.0× 94 0.6× 30 0.3× 12 0.2× 40 1.1k
Mijung Kim South Korea 13 82 0.2× 104 0.5× 74 0.5× 76 0.6× 10 0.2× 50 556
Hongkun Wang United States 16 41 0.1× 116 0.6× 28 0.2× 186 1.6× 20 0.3× 61 588
Jamie P. McCusker United States 13 71 0.2× 701 3.7× 249 1.5× 317 2.7× 63 1.0× 49 1.2k

Countries citing papers authored by Robert E. Tillman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert E. Tillman

This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Tillman. A scholar is included among the top collaborators of Robert E. Tillman 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 Robert E. Tillman. Robert E. Tillman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Morid, Mohammad Amin, Robert E. Tillman, & Eran Halperin. (2025). Balanced Area Deprivation Index (bADI): Enhancing Social Determinants of Health Indices to Strengthen Their Association With Healthcare Clinical Outcomes, Utilization, and Costs. Journal of Public Health Management and Practice. 31(6). 998–1007.
2.
3.
Romano, Gabriele, Varsha Gandhi, Ignacio I. Wistuba, et al.. (2024). A structured curriculum supporting biomedical trainees’ transition into independent academic positions and early career success. BMC Medical Education. 24(1).
4.
Tillman, Robert E., Prashant Reddy, & Manuela Veloso. (2020). Recommending missing and suspicious links in multiplex financial networks. 2 indexed citations
5.
Assefa, Samuel, et al.. (2020). Generating synthetic data in finance. 1–8. 99 indexed citations
6.
Spirtes, Peter, Clark Glymour, Richard Scheines, & Robert E. Tillman. (2018). Automated Search for Causal Relations: Theory and Practice. Figshare. 2 indexed citations
7.
Tillman, Robert E. & Frederick Eberhardt. (2014). Learning Causal Structure from Multiple Datasets with Similar Variable Sets. Behaviormetrika. 41(1). 41–64. 11 indexed citations
9.
Tillman, Robert E. & Peter Spirtes. (2011). Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables. 3–15. 26 indexed citations
10.
Gretton, Arthur, Peter Spirtes, & Robert E. Tillman. (2009). Nonlinear directed acyclic structure learning with weakly additive noise models. Neural Information Processing Systems. 22. 1847–1855. 24 indexed citations
11.
Tillman, Robert E.. (2009). Structure learning with independent non-identically distributed data. 1041–1048. 21 indexed citations
12.
Danks, David, Clark Glymour, & Robert E. Tillman. (2008). Integrating Locally Learned Causal Structures with Overlapping Variables. Neural Information Processing Systems. 21. 1665–1672. 37 indexed citations
13.
Egawa, Takeshi, Robert E. Tillman, Yoshinori Naoe, Ichiro Taniuchi, & Dan R. Littman. (2008). The role of the Runx transcription factors in thymocyte differentiation and in homeostasis of naive T cells. The Journal of Experimental Medicine. 205(8). 1939–1939. 224 indexed citations
14.
Tillman, Robert E. & Peter Spirtes. (2008). When causality matters for prediction: investigating the practical tradeoffs. 137–146. 4 indexed citations
15.
Egawa, Takeshi, Robert E. Tillman, Yoshinori Naoe, Ichiro Taniuchi, & Dan R. Littman. (2007). The role of the Runx transcription factors in thymocyte differentiation and in homeostasis of naive T cells. The Journal of Experimental Medicine. 204(8). 1945–1957. 230 indexed citations
16.
Tillman, Robert E., et al.. (2004). Regulation of T‐cell receptor β‐chain gene assembly by recombination signals: the beyond 12/23 restriction. Immunological Reviews. 200(1). 36–43. 20 indexed citations
17.
Tillman, Robert E., et al.. (2003). The B12/23 Restriction Is Critically Dependent on Recombination Signal Nonamer and Spacer Sequences. The Journal of Immunology. 171(12). 6604–6610. 17 indexed citations
18.
19.
Bassing, Craig H., Robert E. Tillman, David Canty, et al.. (2003). T cell receptor (TCR) α/δ locus enhancer identity and position are critical for the assembly of TCR δ and α variable region genes. Proceedings of the National Academy of Sciences. 100(5). 2598–2603. 29 indexed citations
20.
Tillman, Robert E., et al.. (2002). Restrictions Limiting the Generation of DNA Double Strand Breaks during Chromosomal V(D)J Recombination. The Journal of Experimental Medicine. 195(3). 309–316. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026