David E Singh
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Distributed and Parallel Computing Systems 20
- Advanced Data Storage Technologies 20
- Interconnection Networks and Systems 7
- Caching and Content Delivery 4
-
- Parallel Computing and Optimization Techniques 23
- Co-authors
- Jesús Carretero (37 shared papers)Maria-Cristina Marinescu (11 shared papers)Juan C. Pichel (5 shared papers)Francisco F. Rivera (8 shared papers)Florin Isailă (9 shared papers)Alejandro Calderón (6 shared papers)María J. Martín (5 shared papers)Rosa Filgueira (4 shared papers)
In The Last Decade
David E Singh
50 papers receiving 301 citations
Peers
Comparison fields: 5 of 76
- Hardware and Architecture 133
- Modeling and Simulation 45
- Computer Networks and Communications 165
- Information Systems 61
- Media Technology 15
Countries citing papers authored by David E Singh
This map shows the geographic impact of David E Singh'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 David E Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E Singh more than expected).
Fields of papers citing papers by David E Singh
This network shows the impact of papers produced by David E Singh. 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 David E Singh. The network helps show where David E Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside David E Singh, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 33 | |
| 2 | 2015 | 29 | |
| 3 | 2011 | 20 | |
| 4 | 2008 | 20 | |
| 5 | 2008 | 19 | |
| 6 | 2003 | 17 | |
| 7 | 2010 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2010 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2014 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2003 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2016 | 5 | |
| 18 | 2002 | 5 | |
| 19 | 2006 | 5 | |
| 20 | 2019 | 5 |
About David E Singh
David E Singh is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Modeling and Simulation and Epidemiology, having authored 54 papers that have together received 319 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (23 papers), Distributed and Parallel Computing Systems (20 papers), Advanced Data Storage Technologies (20 papers), Cloud Computing and Resource Management (9 papers), COVID-19 epidemiological studies (8 papers), Interconnection Networks and Systems (7 papers), Caching and Content Delivery (4 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Hardware and Architecture (133 citations), Modeling and Simulation (45 citations), Computer Networks and Communications (165 citations), Information Systems (61 citations) and Media Technology (15 citations). David E Singh has collaborated with scholars based in Spain, Germany and Italy. Frequent co-authors include Jesús Carretero, Maria-Cristina Marinescu, Juan C. Pichel, Francisco F. Rivera, Florin Isailă, Alejandro Calderón, María J. Martín, Rosa Filgueira, Félix García and Diana Gómez‐Barroso. Their work appears in journals such as The International Journal of High Performance Computing Applications, Parallel Computing, Future Generation Computer Systems, BMJ Open and BMC Systems Biology.
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.