Saurabh Singh
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Health Informatics top 2%
- Computer Vision and Pattern Recognition
- Pulmonary and Respiratory Medicine
- Co-authors
- Akhilesh TiwariYadunath PathakPiyush Kumar ShuklaPrashant Kumar ShuklaH. N. SinghSangeeta NegiShashi Kant VermaAnju Singh
- Topics
- Terrorism, Counterterrorism, and Political Violence (4 papers)Complex Network Analysis Techniques (4 papers)Biocrusts and Microbial Ecology (2 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Saurabh Singh
13 papers receiving 379 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Radiology, Nuclear Medicine and Imaging 256
- Artificial Intelligence 197
- Health Informatics 51
- Computer Vision and Pattern Recognition 50
- Pulmonary and Respiratory Medicine 33
Countries citing papers authored by Saurabh Singh
This map shows the geographic impact of Saurabh 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 Saurabh Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Singh more than expected).
Fields of papers citing papers by Saurabh Singh
This network shows the impact of papers produced by Saurabh 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 Saurabh Singh. The network helps show where Saurabh Singh may publish in the future.
Co-authorship network of co-authors of Saurabh Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Singh. A scholar is included among the top collaborators of Saurabh 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 Saurabh Singh. Saurabh 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 | 8 | |
| 3 | 1 | |
| 4 | Deep Transfer Learning Based Classification Model for COVID-19 Diseasebreakdown → | 329 |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | Optimization of Some Standard Functions using Artificial Algae Algorithm | 1 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | Immobilization caused physiological and biochemical changes in NaCI-resistant (NaCl r ) mutant strain of diazotrophic cyanobacterium Anabaena variabilis | 3 |
| 15 | 3 | |
| 16 | 14 |
About Saurabh Singh
Saurabh Singh is a scholar working on Statistical and Nonlinear Physics, Software and Environmental Chemistry, having authored 16 papers that have together received 397 indexed citations. Recurring topics across this work include Terrorism, Counterterrorism, and Political Violence (4 papers), Complex Network Analysis Techniques (4 papers) and Biocrusts and Microbial Ecology (2 papers). The work is most often cited by research in Health Informatics (51 citations), Radiology, Nuclear Medicine and Imaging (256 citations) and Artificial Intelligence (197 citations). Saurabh Singh has collaborated with scholars based in India and United States. Frequent co-authors include Akhilesh Tiwari, Yadunath Pathak, Piyush Kumar Shukla, Prashant Kumar Shukla, H. N. Singh, Sangeeta Negi, Shashi Kant Verma, Anju Singh, H. N. Singh and Rinkaj Goyal. Their work appears in journals such as New Phytologist, Journal of Business Research and Plant and Soil.
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.