Saurav Singh
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
- Nutrition and Dietetics top 10%
- Magnesium in Health and Disease
Papers in
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- Parathyroid Disorders and Treatments 3
-
- Liver physiology and pathology 2
- Co-authors
- Christian FaulChristopher YanucilBrian CzayaAlexander GrabnerKarla SchrammMarcus BrandMyles WolfGiovana Seno Di Marco
- Journals
- Journal of Visualized Experiments (2 papers)Scientific Reports (1 paper)Kidney International (1 paper)Journal of Infrastructure Systems (1 paper)American Journal of Hypertension (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Saurav Singh
10 papers receiving 449 citations
Peers
Comparison fields: 5 of 61
- Nephrology 335
- Nutrition and Dietetics 89
- Genetics 143
- Pathology and Forensic Medicine 90
- Molecular Biology 178
Countries citing papers authored by Saurav Singh
This map shows the geographic impact of Saurav 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 Saurav Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurav Singh more than expected).
Fields of papers citing papers by Saurav Singh
This network shows the impact of papers produced by Saurav 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 Saurav Singh. The network helps show where Saurav Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saurav 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 18 | |
| 3 | Push Recovery for Humanoid Robots using Linearized Double Inverted Pendulum | 2020 | 1 |
| 4 | 2019 | 1 | |
| 5 | Image Steganography using Least Significant Bit algorithm | 2018 | 0 |
| 6 | 2018 | 21 | |
| 7 | 2017 | 7 | |
| 8 | 2017 | 100 | |
| 9 | 2017 | 2 | |
| 10 | Computational analysis of edge detection operators | 2016 | 7 |
| 11 | 2016 | 278 | |
| 12 | 2010 | 16 |
About Saurav Singh
Saurav Singh is a scholar working on Nephrology, Hepatology, Geography, Planning and Development, Computer Vision and Pattern Recognition and Management of Technology and Innovation, having authored 12 papers that have together received 451 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (3 papers), Fibroblast Growth Factor Research (2 papers), Liver physiology and pathology (2 papers), Robotic Mechanisms and Dynamics (1 paper), Advanced Biosensing Techniques and Applications (1 paper), Public-Private Partnership Projects (1 paper), Geographic Information Systems Studies (1 paper) and Magnesium in Health and Disease (1 paper). The work is most often cited by research in Nephrology (335 citations), Nutrition and Dietetics (89 citations), Genetics (143 citations), Pathology and Forensic Medicine (90 citations) and Molecular Biology (178 citations). Saurav Singh has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Christian Faul, Christopher Yanucil, Brian Czaya, Alexander Grabner, Karla Schramm, Marcus Brand, Myles Wolf, Giovana Seno Di Marco, René Bartz and Stefanie Krick. Their work appears in journals such as Journal of Visualized Experiments, Scientific Reports, Kidney International, Journal of Infrastructure Systems and American Journal of Hypertension.
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.