Keith Sullivan
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 31
- Acute Myeloid Leukemia Research 9
- Transplantation top 5%
- Immunology top 5%
- Oncology top 5%
- Polyomavirus and related diseases 8
- Genetics top 5%
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- Childhood Cancer Survivors' Quality of Life 5
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- Evolutionary Algorithms and Applications 5
- Anomaly Detection Techniques and Applications 5
- Reinforcement Learning in Robotics 4
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- Mathematical Dynamics and Fractals 5
- Co-authors
- Sean LukeLiviu PanaitClaudio Cioffi‐RevillaGabriel BalanRainer StorbJean E. SandersK DoneyRobert P. Witherspoon
- Cited by
- HematologyTransplantationImmunology
- Journals
- British Journal of Haematology (5 papers)Bone Marrow Transplantation (4 papers)Transplantation (4 papers)
- Partner nations
- United StatesSouth AfricaJapan
In The Last Decade
Keith Sullivan
67 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Hematology 1.7k
- Transplantation 117
- Immunology 598
- Oncology 735
- Genetics 272
Countries citing papers authored by Keith Sullivan
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
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
The 25 scholars most cited alongside Keith Sullivan, 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 | Automated Surveillance from a Mobile Robot | 2016 | 0 |
| 2 | Understanding Touch Gestures on a Humanoid Robot. | 2014 | 1 |
| 3 | 2013 | 37 | |
| 4 | 2012 | 8 | |
| 5 | 2011 | 37 | |
| 6 | 2011 | 23 | |
| 7 | 2011 | 18 | |
| 8 | 2010 | 12 | |
| 9 | 2001 | 139 | |
| 10 | 1996 | 52 | |
| 11 | 1996 | 95 | |
| 12 | 1996 | 59 | |
| 13 | 1993 | 31 | |
| 14 | 1992 | 50 | |
| 15 | 1992 | 48 | |
| 16 | 1992 | 73 | |
| 17 | 1990 | 6 | |
| 18 | 1990 | 71 | |
| 19 | 1990 | 1 | |
| 20 | 1989 | 99 |
About Keith Sullivan
Keith Sullivan is a scholar working on Hematology, Transplantation and Artificial Intelligence, having authored 72 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (31 papers), Acute Myeloid Leukemia Research (9 papers), Polyomavirus and related diseases (8 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Evolutionary Algorithms and Applications (5 papers), Anomaly Detection Techniques and Applications (5 papers), Mathematical Dynamics and Fractals (5 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Hematology (1.7k citations), Transplantation (117 citations) and Immunology (598 citations). Keith Sullivan has collaborated with scholars based in United States, South Africa and Japan. Frequent 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. Their work appears in journals such as British Journal of Haematology, Bone Marrow Transplantation, Transplantation, Blood and Journal of Clinical Oncology.
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.