Michael D. Linderman
- Biophysics top 1%
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 8
- Immunology top 10%
-
- Distributed and Parallel Computing Systems 6
-
- Genomics and Rare Diseases 12
- BRCA gene mutations in cancer 9
-
- EEG and Brain-Computer Interfaces 10
-
- Neuroscience and Neural Engineering 7
-
- Genetics, Bioinformatics, and Biomedical Research 6
-
- Muscle activation and electromyography studies 5
Michael D. Linderman
44 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Biophysics 239
- Hardware and Architecture 262
- Information Systems and Management 114
- Immunology 309
- Computer Networks and Communications 318
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 5 | |
| 2 | 2019 | 1 | |
| 3 | 2019 | 37 | |
| 4 | 2017 | 1 | |
| 5 | 2016 | 80 | |
| 6 | 2015 | 13 | |
| 7 | 2015 | 14 | |
| 8 | 2015 | 90 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 30 | |
| 11 | 2012 | 7 | |
| 12 | 2012 | 9 | |
| 13 | Extracting a cellular hierarchy from high-dimensional cytometry data with SPADEbreakdown → | 2011 | 680 |
| 14 | 2010 | 401 | |
| 15 | 2009 | 50 | |
| 16 | 2007 | 115 | |
| 17 | 2006 | 8 | |
| 18 | 2006 | 24 | |
| 19 | 2006 | 8 | |
| 20 | 2006 | 8 |
About Michael D. Linderman
Michael D. Linderman is a scholar working on Hardware and Architecture, Cognitive Neuroscience and Genetics, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), EEG and Brain-Computer Interfaces (10 papers), BRCA gene mutations in cancer (9 papers), Parallel Computing and Optimization Techniques (8 papers), Neuroscience and Neural Engineering (7 papers), Distributed and Parallel Computing Systems (6 papers), Genetics, Bioinformatics, and Biomedical Research (6 papers) and Muscle activation and electromyography studies (5 papers). The work is most often cited by research in Biophysics (239 citations), Hardware and Architecture (262 citations) and Information Systems and Management (114 citations). Michael D. Linderman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Garry P. Nolan, Eric E. Schadt, Teresa H. Meng, Jon M. Sorenson, L. Lee, 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, European Journal of Human Genetics, Bioinformatics 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.