Michael D. Linderman
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
-
- EEG and Brain-Computer Interfaces 11
- Co-authors
- Garry P. Nolan (7 shared papers)Eric E. Schadt (11 shared papers)Teresa H. Meng (15 shared papers)L. Lee (2 shared papers)Jon M. Sorenson (2 shared papers)Peng Qiu (3 shared papers)Sylvia K. Plevritis (3 shared papers)Sean C. Bendall (2 shared papers)
- Journals
- BMC Medical Genomics (4 papers)PLoS ONE (3 papers)Bioinformatics (2 papers)European Journal of Human Genetics (2 papers)Nature Reviews Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Michael D. Linderman
44 papers receiving 2.5k citations
Michael D. Linderman's Hit Papers
Peers
Comparison fields: 5 of 158
- Hardware and Architecture 293
- Biophysics 219
- Information Systems and Management 114
- Immunology 291
- Computer Networks and Communications 355
Countries citing papers authored by Michael D. Linderman
This map shows the geographic impact of Michael D. Linderman'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 Michael D. Linderman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Linderman more than expected).
Fields of papers citing papers by Michael D. Linderman
This network shows the impact of papers produced by Michael D. Linderman. 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 Michael D. Linderman. The network helps show where Michael D. Linderman may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Linderman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE Hit paper breakdown → | 2011 | 708 |
| 2 | 2010 | 473 | |
| 3 | 2008 | 213 | |
| 4 | 2007 | 119 | |
| 5 | 2015 | 93 | |
| 6 | 2016 | 80 | |
| 7 | 2015 | 70 | |
| 8 | 2011 | 67 | |
| 9 | 2014 | 60 | |
| 10 | 2008 | 59 | |
| 11 | 2009 | 56 | |
| 12 | 2017 | 52 | |
| 13 | 2016 | 43 | |
| 14 | 2019 | 40 | |
| 15 | 2008 | 38 | |
| 16 | 2010 | 38 | |
| 17 | 2014 | 32 | |
| 18 | 2012 | 31 | |
| 19 | 2008 | 28 | |
| 20 | 2015 | 28 |
About Michael D. Linderman
Michael D. Linderman is a scholar working on Cognitive Neuroscience, Molecular Biology, Genetics, Hardware and Architecture and Computer Networks and Communications, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Parallel Computing and Optimization Techniques (8 papers), Genomics and Rare Diseases (7 papers), Neuroscience and Neural Engineering (7 papers), Muscle activation and electromyography studies (6 papers), Distributed and Parallel Computing Systems (6 papers), BRCA gene mutations in cancer (5 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (293 citations), Biophysics (219 citations), Information Systems and Management (114 citations), Immunology (291 citations) and Computer Networks and Communications (355 citations). Michael D. Linderman has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Garry P. Nolan, Eric E. Schadt, Teresa H. Meng, L. Lee, Jon M. Sorenson, Peng Qiu, Sylvia K. Plevritis, Sean C. Bendall, Robert V. Bruggner and Erin F. Simonds. Their work appears in journals such as BMC Medical Genomics, PLoS ONE, Bioinformatics, European Journal of Human Genetics and Nature Reviews Genetics.
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.