Bismark Singh
- Modeling and Simulation top 5%
- Electrical and Electronic Engineering
- Infectious Diseases
- Economics and Econometrics
- Materials Chemistry
- Co-authors
- David P. MortonLauren Ancel MeyersC.D.W. WilkinsonDaniel DuqueRemy PascoZhanwei DuGregory P. JohnsonBruce W. Clements
- Topics
- COVID-19 epidemiological studies (9 papers)Advancements in Photolithography Techniques (4 papers)Influenza Virus Research Studies (3 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsApplied Physics Letters
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Bismark Singh
27 papers receiving 253 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 98
- Electrical and Electronic Engineering 70
- Infectious Diseases 36
- Economics and Econometrics 35
- Materials Chemistry 29
Countries citing papers authored by Bismark Singh
This map shows the geographic impact of Bismark 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 Bismark Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bismark Singh more than expected).
Fields of papers citing papers by Bismark Singh
This network shows the impact of papers produced by Bismark 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 Bismark Singh. The network helps show where Bismark Singh may publish in the future.
Co-authorship network of co-authors of Bismark Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Bismark Singh. A scholar is included among the top collaborators of Bismark Singh 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 Bismark Singh. Bismark Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 30 | |
| 9 | 31 | |
| 10 | 10 | |
| 11 | 15 | |
| 12 | 4 | |
| 13 | 42 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 0 | |
| 20 | Analysis of a dengue disease transmission model with vaccination | 3 |
About Bismark Singh
Bismark Singh is a scholar working on Modeling and Simulation, Surfaces, Coatings and Films and Industrial and Manufacturing Engineering, having authored 31 papers that have together received 264 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Advancements in Photolithography Techniques (4 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (98 citations), Health (26 citations) and Transportation (15 citations). Bismark Singh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David P. Morton, Lauren Ancel Meyers, C.D.W. Wilkinson, Daniel Duque, Remy Pasco, Zhanwei Du, Gregory P. Johnson, Bruce W. Clements, S. P. Beaumont and Bernard Knueven. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied Physics Letters.
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.