Patrick Martin

1.1k citations
39 papers · 863 · h-index 13

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Patrick Martin

35 papers receiving 822 citations

Peers

Patrick Martin
Comparison fields: 5 of 89
  • Hematology 486
  • Genetics 100
  • Oncology 223
  • Immunology 152
  • Transplantation 17
Replace Roni Shouval with:
Roni Shouval United States
Yi Luo China
Masayoshi Yasui Japan
Kazuyoshi� Ishii Japan
Neeraj Saini United States
Youngil Koh South Korea
Chiara Corsini Italy
Ziqiang Yu China
Xinyue Qi China
Kevin Song Canada
Patrick Martin relative to Roni Shouval United States Roni Shouval's profile →
Citations per field
00.5×1.5×
Roni Shouval · 1×
Citations per year

Countries citing papers authored by Patrick Martin

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Martin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Martin Line = papers co-authored together Patrick Martin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996294
2 199571
3
Secondary malignancies after marrow transplantation.
198467
4 201161
5 199452
6 199245
7 199343
8 201239
9 199237
10
Engraftment in 86 with patients lymphoid malignancy after autologous marrow transplantation.
198922
11 202118
12 201112
13 199812
14 201710
15
Power-Aware Sensor Coverage: An Optimal Control Approach
20109
16 20119
17 20098
18 20226
19 19906
20 20224

About Patrick Martin

Patrick Martin is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture and Hematology, having authored 39 papers that have together received 863 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Formal Methods in Verification (5 papers), Real-Time Systems Scheduling (4 papers), Embedded Systems Design Techniques (3 papers), Polyomavirus and related diseases (3 papers), IoT and Edge/Fog Computing (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Hematology (486 citations), Genetics (100 citations), Oncology (223 citations), Immunology (152 citations) and Transplantation (17 citations). Patrick Martin has collaborated with scholars based in United States, Mexico and France. Frequent co-authors include Jack W. Singer, CD Buckner, R Clift, K Lilleby, Taner Demirer, Jan‐Stephan Sanders, S Rowley, R Storb, FR Appelbaum and Ted Gooley. Their work appears in journals such as Blood, Journal of Clinical Oncology, Discrete Event Dynamic Systems, Aesthetic Surgery Journal and Journal of Minimally Invasive Gynecology.

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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