Sanchit Misra

40 papers receiving 1.0k citations

Hit Papers

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems 2019 · 540 citations
5402019202620212023100200300400500

Peers

Sanchit Misra
Comparison fields: 5 of 131
  • Health Information Management 56
  • Hardware and Architecture 80
  • Artificial Intelligence 246
  • Horticulture 6
  • Molecular Biology 423
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Citations per year

Countries citing papers authored by Sanchit Misra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sanchit Misra Line = papers co-authored together Sanchit Misra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20236
3 202235
4
Tensor processing primitives: a programming abstraction for efficiency and portability in deep learning workloads
20211
5
Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems
Hit paper breakdown →
2019540
6 20167
7 20159
8
Cyclooxygenase-2 inhibition attenuates hypoxic cancer cells induced m2-polarization of macrophages.
201416
9 201411
10 20132
11 20135
12 20128
13 201211
14 201118
15 201137
16 201111
17 20104
18 20106
19 20086
20 19725

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.

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