Sovan Biswas

666 citations
18 papers · 514 · h-index 11

Impact in

Papers in

Sovan Biswas

18 papers receiving 505 citations

Peers

Sovan Biswas
Comparison fields: 5 of 57
  • Electrochemistry 42
  • Biomedical Engineering 231
  • Computer Vision and Pattern Recognition 106
  • Artificial Intelligence 112
  • Electrical and Electronic Engineering 184
Replace Zhijie Lin with:
Zhijie Lin China
Jingyan Wang China
Sachin Verma India
Yohei Iwasaki Japan
Mengyuan Chen China
Y. Tu China
Zhiyuan Shen China
Conor Brennan Ireland
Xinyu Gao China
Ruosong Wang United States
Sovan Biswas relative to Zhijie Lin China Zhijie Lin's profile →
Citations per field
00.5×4.3×
Zhijie Lin · 1×
Citations per year

Countries citing papers authored by Sovan Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Sovan Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sovan Biswas, 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 Sovan Biswas Line = papers co-authored together Sovan Biswas links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2014199
2 201651
3 201448
4 201343
5 201638
6 201724
7 202123
8 201918
9 201418
10 201312
11 201412
12 20148
13 20145
14 20214
15 20214
16
Document Segmentation for Labeling with Academic Learning Objectives.
20163
17 20143
18 20191

About Sovan Biswas

Sovan Biswas is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications and Organic Chemistry, having authored 18 papers that have together received 514 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (9 papers), Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (5 papers), Nanopore and Nanochannel Transport Studies (4 papers), Network Security and Intrusion Detection (4 papers), Synthesis and Catalytic Reactions (3 papers), Catalytic C–H Functionalization Methods (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Electrochemistry (42 citations), Biomedical Engineering (231 citations), Computer Vision and Pattern Recognition (106 citations), Artificial Intelligence (112 citations) and Electrical and Electronic Engineering (184 citations). Sovan Biswas has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include R. Venkatesh Babu, Peiming Zhang, Brian Ashcroft, Stuart Lindsay, Yanan Zhao, Chad R. Borges, Suman Sen, Weisi Song, Brett Gyarfas and Saikat Kumar Manna. Their work appears in journals such as ACS Nano, Angewandte Chemie International Edition, Nature Communications, Multimedia Tools and Applications and The Journal of Organic Chemistry.

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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