Mark B. Friedman
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Aerospace Engineering
- Co-authors
- Mark L. NagurkaJohn M. DolanDaniel S. LehrmanDavid J. EffeneyGretchen A. W. GoodingTakeo KanadeHarold AbelsonDavid Wolber
- Topics
- Advanced Data Storage Technologies (5 papers)Distributed and Parallel Computing Systems (4 papers)Space Satellite Systems and Control (4 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Mark B. Friedman
29 papers receiving 574 citations
Peers
Comparison fields: 5 of 107
- Biomedical Engineering 193
- Cognitive Neuroscience 145
- Control and Systems Engineering 113
- Ecology, Evolution, Behavior and Systematics 91
- Aerospace Engineering 75
Countries citing papers authored by Mark B. Friedman
This map shows the geographic impact of Mark B. Friedman'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 Mark B. Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark B. Friedman more than expected).
Fields of papers citing papers by Mark B. Friedman
This network shows the impact of papers produced by Mark B. Friedman. 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 Mark B. Friedman. The network helps show where Mark B. Friedman may publish in the future.
Co-authorship network of co-authors of Mark B. Friedman
This figure shows the co-authorship network connecting the top 25 collaborators of Mark B. Friedman. A scholar is included among the top collaborators of Mark B. Friedman 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 Mark B. Friedman. Mark B. Friedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | The reality of virtualization for windows servers. | 3 |
| 4 | 2 | |
| 5 | Virtual Memory Constraints in 32-bit Windows. | 0 |
| 6 | 4 | |
| 7 | 4 | |
| 8 | Windows NT Page Replacement Policies. | 3 |
| 9 | 2 | |
| 10 | Evaluation Of An Approximation Technique For Disk Cache Sizing. | 1 |
| 11 | 57 | |
| 12 | 186 | |
| 13 | Practical Techniques for Modeling Memory in MVS. | 1 |
| 14 | 3 | |
| 15 | Performance and Tuning of Cached I/O Subsystems. | 1 |
| 16 | 62 | |
| 17 | 5 | |
| 18 | 15 | |
| 19 | 21 | |
| 20 | 39 |
About Mark B. Friedman
Mark B. Friedman is a scholar working on Developmental Biology, Hardware and Architecture and Human-Computer Interaction, having authored 31 papers that have together received 620 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (4 papers) and Space Satellite Systems and Control (4 papers). The work is most often cited by research in Developmental Biology (58 citations), Internal Medicine (55 citations) and Physical Therapy, Sports Therapy and Rehabilitation (34 citations). Mark B. Friedman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mark L. Nagurka, John M. Dolan, Daniel S. Lehrman, David J. Effeney, Gretchen A. W. Gooding, Takeo Kanade, Harold Abelson, David Wolber, H.B. Brown and Yangsheng Xu. Their work appears in journals such as Nature, Blood and Radiology.
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.