Keith Sullivan

6.4k total citations · 1 hit paper
72 papers, 3.4k citations indexed

About

Keith Sullivan is a scholar working on Hematology, Artificial Intelligence and Oncology. According to data from OpenAlex, Keith Sullivan has authored 72 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hematology, 22 papers in Artificial Intelligence and 13 papers in Oncology. Recurrent topics in Keith Sullivan's work include Hematopoietic Stem Cell Transplantation (31 papers), Acute Myeloid Leukemia Research (9 papers) and Polyomavirus and related diseases (8 papers). Keith Sullivan is often cited by papers focused on Hematopoietic Stem Cell Transplantation (31 papers), Acute Myeloid Leukemia Research (9 papers) and Polyomavirus and related diseases (8 papers). Keith Sullivan collaborates with scholars based in United States, South Africa and Japan. Keith Sullivan's co-authors include Sean Luke, Liviu Panait, Claudio Cioffi‐Revilla, Gabriel Balan, Rainer Storb, Jean E. Sanders, K Doney, Robert P. Witherspoon, H. Joachim Deeg and C. Dean Buckner and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Keith Sullivan

67 papers receiving 3.3k citations

Hit Papers

MASON: A Multiagent Simulation Environment 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Sullivan United States 31 1.7k 735 598 415 292 72 3.4k
David P. Harrington United States 29 603 0.3× 920 1.3× 249 0.4× 599 1.4× 500 1.7× 75 6.2k
David S. H. Rosenthal United States 23 700 0.4× 429 0.6× 111 0.2× 206 0.5× 238 0.8× 72 2.7k
W. Kühn Germany 33 221 0.1× 957 1.3× 306 0.5× 405 1.0× 607 2.1× 221 4.7k
Maurizio Martelli Italy 33 311 0.2× 1.6k 2.2× 371 0.6× 150 0.4× 508 1.7× 203 4.4k
Mark A. Fiala United States 27 1.1k 0.6× 552 0.8× 154 0.3× 166 0.4× 47 0.2× 195 3.0k
Jing Ning United States 34 441 0.3× 807 1.1× 422 0.7× 172 0.4× 163 0.6× 271 4.4k
Hassan Abolhassani Iran 38 566 0.3× 201 0.3× 3.4k 5.7× 51 0.1× 409 1.4× 283 5.1k
Pascal Poncelet France 25 400 0.2× 246 0.3× 579 1.0× 72 0.2× 427 1.5× 180 3.0k
M. A. Caligiuri United States 16 1.5k 0.9× 651 0.9× 762 1.3× 567 1.4× 1.8k 6.1× 27 10.0k

Countries citing papers authored by Keith Sullivan

Since Specialization
Citations

This map shows the geographic impact of Keith Sullivan'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 Keith Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Sullivan more than expected).

Fields of papers citing papers by Keith Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith Sullivan. 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 Keith Sullivan. The network helps show where Keith Sullivan may publish in the future.

Co-authorship network of co-authors of Keith Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Sullivan. A scholar is included among the top collaborators of Keith Sullivan 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 Keith Sullivan. Keith Sullivan 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.
Sullivan, Keith, et al.. (2017). Representing motion information from event-based cameras. 1465–1470. 3 indexed citations
2.
Sullivan, Keith, et al.. (2016). Automated Surveillance from a Mobile Robot. National Conference on Artificial Intelligence.
3.
Sullivan, Keith, et al.. (2014). Understanding Touch Gestures on a Humanoid Robot.. National Conference on Artificial Intelligence. 1 indexed citations
4.
Kanda, Junya, Leylagül Kaynar, Yoshinobu Kanda, et al.. (2013). Pre-engraftment syndrome after myeloablative dual umbilical cord blood transplantation: risk factors and response to treatment. Bone Marrow Transplantation. 48(7). 926–931. 37 indexed citations
5.
Sullivan, Keith & Sean Luke. (2012). Learning from demonstration with swarm hierarchies. Adaptive Agents and Multi-Agents Systems. 197–204. 8 indexed citations
6.
Luke, Sean, et al.. (2011). Large scale empirical analysis of cooperative coevolution. 151–152. 7 indexed citations
7.
Horwitz, Mitchell E., John P. Chute, Christina Gasparetto, et al.. (2011). Preemptive dosing of plerixafor given to poor stem cell mobilizers on day 5 of G-CSF administration. Bone Marrow Transplantation. 47(8). 1051–1055. 37 indexed citations
8.
Luke, Sean, et al.. (2010). Collaborative foraging using beacons. Adaptive Agents and Multi-Agents Systems. 1197–1204. 12 indexed citations
9.
Sullivan, Keith & Sean Luke. (2007). Evolving kernels for support vector machine classification. 1702–1707. 30 indexed citations
10.
Bichindaritz, Isabelle, Muriel Siadak, Emin Kansu, et al.. (1998). CARE-PARTNER: a computerized knowledge-support system for stem-cell post-transplant long-term follow-up on the World-Wide-Web.. PubMed. 386–90. 10 indexed citations
11.
Langston, Amelia, Jean E. Sanders, H. Joachim Deeg, et al.. (1996). Allogeneic marrow transplantation for aplastic anaemia associated with dyskeratosis congenita. British Journal of Haematology. 92(3). 758–765. 59 indexed citations
12.
Wagner, John L., H. Joachim Deeg, Kristy Seidel, et al.. (1996). BONE MARROW TRANSPLANTATION FOR SEVERE APLASTIC ANEMIA FROM GENOTYPICALLY HLA-NONIDENTICAL RELATIVES. Transplantation. 61(1). 54–61. 52 indexed citations
13.
Stern, Jean M., C. H. Chesnut, Barbara Bruemmer, et al.. (1996). Bone density loss during treatment of chronic GVHD.. PubMed. 17(3). 395–400. 51 indexed citations
14.
Greinix, Hildegard, Rainer Storb, Jean E. Sanders, et al.. (1993). Long‐term survival and cure after marrow transplantation for congenital hypoplastic anaemia (Diamond‐Blackfan syndrome). British Journal of Haematology. 84(3). 515–520. 31 indexed citations
15.
Nemunaitis, John, Claudio Anasetti, Rainer Storb, et al.. (1992). Phase II trial of recombinant human granulocyte-macrophage colony- stimulating factor in patients undergoing allogeneic bone marrow transplantation from unrelated donors. Blood. 79(10). 2572–2577. 37 indexed citations
16.
Anasetti, C, R Storb, Patrick G. Beatty, et al.. (1992). TREATMENT OF ACUTE GRAFT-VERSUS-HOST DISEASE WITH A NONMITOGENIC ANTI-CD3 MONOCLONAL ANTIBODY. Transplantation. 54(5). 844–850. 50 indexed citations
17.
Petersen, Finn Bo, H. Joachim Deeg, CD Buckner, et al.. (1992). Marrow transplantation following escalating doses of fractionated total body irradiation and cyclophosphamide—a phase I trial. International Journal of Radiation Oncology*Biology*Physics. 23(5). 1027–1032. 48 indexed citations
18.
Sullivan, Keith, et al.. (1990). Squamous cell carcinoma of the great toe in a black man. Journal of the American Podiatric Medical Association. 80(10). 548–551. 6 indexed citations
19.
Storb, Rainer, CD Buckner, R. A. Clift, et al.. (1990). Marrow Grafting for Acute Leukemia: Results and Future Treatment Strategies. Hämatologie und Bluttransfusion. 33. 629–635. 1 indexed citations
20.
Syrjala, Karen L., et al.. (1984). Cognitive-behavioral training to reduce chemokadiotherapy toxicities. Pain. 18. S306–S306. 2 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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