Sayantan Mitra

451 citations
24 papers · 380 indexed · h-index 12
Topics
Glycosylation and Glycoproteins Research (5 papers)Protein Tyrosine Phosphatases (5 papers)Advanced Data Storage Technologies (4 papers)

In The Last Decade

Sayantan Mitra

24 papers receiving 374 citations

Peers

Sayantan Mitra
Comparison fields: 5 of 71
  • Molecular Biology 195
  • Cellular and Molecular Neuroscience 71
  • Artificial Intelligence 66
  • Oncology 49
  • Immunology 43
Replace Moaraj Hasan with:
Moaraj Hasan United States
Ya‐Hui Lin Taiwan
Ki-Ho Lee South Korea
Zhili Guo China
Xue Y. Zhu United States
Ian P. Barrett United Kingdom
Jianpeng Chen China
Anna Niarakis France
Sezen Vatansever United States
J. R. Einstein United States
Sayantan Mitra relative to Moaraj Hasan United States Moaraj Hasan's profile →
Citations per field
00.5×7.9×
Moaraj Hasan · 1×
Citations per year

Countries citing papers authored by Sayantan Mitra

Since Specialization
Citations

This map shows the geographic impact of Sayantan Mitra'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 Sayantan Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayantan Mitra more than expected).

Fields of papers citing papers by Sayantan Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayantan Mitra. 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 Sayantan Mitra. The network helps show where Sayantan Mitra may publish in the future.

Co-authorship network of co-authors of Sayantan Mitra

This figure shows the co-authorship network connecting the top 25 collaborators of Sayantan Mitra. A scholar is included among the top collaborators of Sayantan Mitra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sayantan Mitra. Sayantan Mitra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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3 19
4 17
5 13
6 16
7
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering
2
8 9
9 19
10 4
11 14
12 5
13 56
14 86
15 27
16 7
17 25
18 11
19 1
20 31

About Sayantan Mitra

Sayantan Mitra is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 24 papers that have together received 380 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Protein Tyrosine Phosphatases (5 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (71 citations), Molecular Biology (195 citations) and Biomaterials (32 citations). Sayantan Mitra has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include Sriparna Saha, Amy Barrios, Mohammed Hasanuzzaman, Ziming Zhang, Maurizio Pellecchia, John L. Stebbins, Roberta Noberini, Elena B. Pasquale, Mitchell Koolpe and Si Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Biochemistry.

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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