Shruti Mathur
Impact in
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- Cancer Research and Treatments
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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
- Fuzzy Logic and Control Systems 1
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- Environmental remediation with nanomaterials 3
- Co-authors
- William Luckett (1 shared paper)Keith S. Bahjat (1 shared paper)Weiqun Liu (1 shared paper)Dirk G. Brockstedt (1 shared paper)Thomas W. Dubensky (1 shared paper)Johannes Hampl (1 shared paper)Meredith L. Leong (1 shared paper)Vinay Sharma (3 shared papers)
In The Last Decade
Shruti Mathur
12 papers receiving 141 citations
Peers
Comparison fields: 5 of 65
- Biotechnology 26
- Computer Vision and Pattern Recognition 51
- Media Technology 14
- Neurology 10
- Immunology 21
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 | 57 | |
| 2 | 2009 | 42 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 11 | |
| 5 | 2020 | 9 | |
| 6 | 2014 | 8 | |
| 7 | 2022 | 4 | |
| 8 | 2010 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2022 | 0 |
About Shruti Mathur
Shruti Mathur is a scholar working on Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition, Molecular Biology and Materials Chemistry, having authored 18 papers that have together received 151 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Environmental remediation with nanomaterials (3 papers), Topic Modeling (3 papers), Nanoparticles: synthesis and applications (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Fuzzy Logic and Control Systems (1 paper), Brain Tumor Detection and Classification (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Biotechnology (26 citations), Computer Vision and Pattern Recognition (51 citations), Media Technology (14 citations), Neurology (10 citations) and Immunology (21 citations). Shruti Mathur has collaborated with scholars based in India and Peru. Frequent co-authors include William Luckett, Keith S. Bahjat, Weiqun Liu, Dirk G. Brockstedt, Thomas W. Dubensky, Johannes Hampl, Meredith L. Leong, 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, International Journal of Environmental Research and Research Journal of Pharmacy and Technology.
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.