Subhadip Basu

3.9k citations
130 papers · 1.8k indexed · h-index 22

Impact in

Papers in

Subhadip Basu

125 papers receiving 1.7k citations

Peers

Subhadip Basu
Comparison fields: 5 of 140
  • Media Technology 703
  • Computer Vision and Pattern Recognition 1.0k
  • Human-Computer Interaction 167
  • Computational Theory and Mathematics 179
  • Biological Psychiatry 26
Replace Chandan Singh with:
Chandan Singh India
Yixin Chen China
M.C. Fairhurst United Kingdom
Claudio De Stefano Italy
Junfeng He United States
Patrick S. P. Wang United States
Saeed Mozaffari Iran
Muhammad Uzair Pakistan
Lukáš Sekanina Czechia
Christin Schäfer Germany
Subhadip Basu relative to Chandan Singh India Chandan Singh's profile →
Citations per field
00.5×6.6×
Chandan Singh · 1×
Citations per year

Countries citing papers authored by Subhadip Basu

Since Specialization
Citations

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

Fields of papers citing papers by Subhadip Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20246
4 20242
5 20240
6 20231
7 20233
8 20222
9 20218
10 20203
11 20166
12 201414
13
Improved prediction of Multi-domains in protein chains using a Support Vector Machine
20136
14 20131
15 201232
16
Word extraction from unconstrained handwritten Bangla document images using Spiral Run Length Smearing Algorithm.
20113
17
An improved offline handwritten character segmentation algorithm for Bangla script.
201110
18
Handwritten Bangla Compound character recognition: Potential challenges and probable solution.
200912
19
Line Extraction from Unconstraint Handwritten Document Pages using Piece-wise Water-flow Technique.
20094
20
An MLP based Approach for Recognition of Handwritten 'Bangla' Numerals
200517

About Subhadip Basu

Subhadip Basu is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Biophysics, Computational Theory and Mathematics and Human-Computer Interaction, having authored 130 papers that have together received 1.8k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (45 papers), Vehicle License Plate Recognition (33 papers), Bioinformatics and Genomic Networks (29 papers), Machine Learning in Bioinformatics (28 papers), Computational Drug Discovery Methods (19 papers), Image Retrieval and Classification Techniques (18 papers), Protein Structure and Dynamics (14 papers) and Image Processing and 3D Reconstruction (14 papers). The work is most often cited by research in Media Technology (703 citations), Computer Vision and Pattern Recognition (1.0k citations), Human-Computer Interaction (167 citations), Computational Theory and Mathematics (179 citations) and Biological Psychiatry (26 citations). Subhadip Basu has collaborated with scholars based in India, Poland and United States. Frequent co-authors include Mita Nasipuri, Mahantapas Kundu, Ram Sarkar, Nibaran Das, Dipak Kumar Basu, Dariusz Plewczyński, Piyali Chatterjee, Samir Malakar, Punam K. Saha and Ayatullah Faruk Mollah. Their work appears in journals such as Multimedia Tools and Applications, PeerJ, International Journal of Molecular Sciences, Pattern Recognition and IEEE/ACM Transactions on Computational Biology 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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