Sanchit Misra
Impact in
-
- Artificial Intelligence in Healthcare
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
- Co-authors
- Srinivas AluruHeng LiAlok ChoudharyAnkit AgrawalRamanathan NarayananLalith PolepeddiChirag JainWei‐keng Liao
- Journals
- BMC Bioinformatics (2 papers)British Journal of Anaesthesia (1 paper)Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (1 paper)Nature Computational Science (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Sanchit Misra
40 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Health Information Management 56
- Hardware and Architecture 80
- Artificial Intelligence 246
- Horticulture 6
- Molecular Biology 423
Countries citing papers authored by Sanchit Misra
This map shows the geographic impact of Sanchit Misra'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 Sanchit Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanchit Misra more than expected).
Fields of papers citing papers by Sanchit Misra
This network shows the impact of papers produced by Sanchit Misra. 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 Sanchit Misra. The network helps show where Sanchit Misra may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanchit Misra, 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 | 2025 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 35 | |
| 4 | Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads | 2021 | 1 |
| 5 | Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems Hit paper breakdown → | 2019 | 540 |
| 6 | 2016 | 7 | |
| 7 | 2015 | 9 | |
| 8 | Cyclooxygenase-2 inhibition attenuates hypoxic cancer cells induced m2-polarization of macrophages. | 2014 | 16 |
| 9 | 2014 | 11 | |
| 10 | 2013 | 2 | |
| 11 | 2013 | 5 | |
| 12 | 2012 | 8 | |
| 13 | 2012 | 11 | |
| 14 | 2011 | 18 | |
| 15 | 2011 | 37 | |
| 16 | 2011 | 11 | |
| 17 | 2010 | 4 | |
| 18 | 2010 | 6 | |
| 19 | 2008 | 6 | |
| 20 | 1972 | 5 |
About Sanchit Misra
Sanchit Misra is a scholar working on Computational Mathematics, Hardware and Architecture, Artificial Intelligence, Molecular Biology and Computer Networks and Communications, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Algorithms and Data Compression (17 papers), Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (8 papers), Gene expression and cancer classification (7 papers), Machine Learning in Bioinformatics (5 papers), Evolutionary Algorithms and Applications (4 papers), Advanced Data Storage Technologies (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Health Information Management (56 citations), Hardware and Architecture (80 citations), Artificial Intelligence (246 citations), Horticulture (6 citations) and Molecular Biology (423 citations). Sanchit Misra has collaborated with scholars based in United States, India and China. Frequent co-authors include Srinivas Aluru, Heng Li, Alok Choudhary, Ankit Agrawal, Ramanathan Narayanan, Lalith Polepeddi, Chirag Jain, Wei‐keng Liao, Guixiang Ma and Evangelos Georganas. Their work appears in journals such as BMC Bioinformatics, British Journal of Anaesthesia, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Nature Computational Science and Bioinformatics.
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.