Shruti Mathur
Impact in
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- Cancer Research and Treatments
- Listeria monocytogenes in Food Safety
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- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
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- Natural Language Processing Techniques 3
- Topic Modeling 3
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Johannes Hampl (1 shared paper)Meredith L. Leong (1 shared paper)William Luckett (1 shared paper)Thomas W. Dubensky (1 shared paper)Weiqun Liu (1 shared paper)Keith S. Bahjat (1 shared paper)Dirk G. Brockstedt (1 shared paper)Vinay Sharma (2 shared papers)
- Journals
- International Journal of Environmental Science and Technology (1 paper)Infection and Immunity (1 paper)Environmental Science and Pollution Research (1 paper)Research Journal of Pharmacy and Technology (1 paper)SHILAP Revista de lepidopterología (1 paper)
In The Last Decade
Shruti Mathur
12 papers receiving 135 citations
Peers
Comparison fields: 5 of 65
- Biotechnology 26
- Computer Vision and Pattern Recognition 50
- Media Technology 14
- Neurology 9
- Virology 5
Countries citing papers authored by Shruti Mathur
This map shows the geographic impact of Shruti Mathur'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 Shruti Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shruti Mathur more than expected).
Fields of papers citing papers by Shruti Mathur
This network shows the impact of papers produced by Shruti Mathur. 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 Shruti Mathur. The network helps show where Shruti Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Shruti Mathur, 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 | 2016 | 54 | |
| 2 | 2009 | 42 | |
| 3 | 2020 | 11 | |
| 4 | 2021 | 10 | |
| 5 | 2014 | 8 | |
| 6 | 2020 | 7 | |
| 7 | 2010 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2022 | 0 |
About Shruti Mathur
Shruti Mathur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Molecular Biology and Materials Chemistry, having authored 17 papers that have together received 145 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Nanoparticles: synthesis and applications (2 papers), Environmental remediation with nanomaterials (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), COVID-19 diagnosis using AI (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Biotechnology (26 citations), Computer Vision and Pattern Recognition (50 citations), Media Technology (14 citations), Neurology (9 citations) and Virology (5 citations). Shruti Mathur has collaborated with scholars based in India and Peru. Frequent co-authors include Johannes Hampl, Meredith L. Leong, William Luckett, Thomas W. Dubensky, Weiqun Liu, Keith S. Bahjat, Dirk G. Brockstedt, Vinay Sharma, Nilima Kumari and Pankaj Dadheech. Their work appears in journals such as International Journal of Environmental Science and Technology, Infection and Immunity, Environmental Science and Pollution Research, Research Journal of Pharmacy and Technology and SHILAP Revista de lepidopterología.
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.