Subhadip Basu

3.9k citations
130 papers · 1.9k · h-index 23

Impact in

Papers in

    • Handwritten Text Recognition Techniques 45
    • Image Retrieval and Classification Techniques 18
    • Image Processing and 3D Reconstruction 14
    • Bioinformatics and Genomic Networks 29
    • Machine Learning in Bioinformatics 28
    • Protein Structure and Dynamics 14

Subhadip Basu

126 papers receiving 1.8k citations

Peers

Subhadip Basu
Comparison fields: 5 of 140
  • Media Technology 707
  • Computer Vision and Pattern Recognition 1.1k
  • Human-Computer Interaction 168
  • Computational Theory and Mathematics 172
  • Artificial Intelligence 300
Replace Chandan Singh with:
Chandan Singh India
Christin Schäfer Germany
Lukáš Sekanina Czechia
Yixin Chen China
Junfeng He United States
Yousef Al-Ohali Saudi Arabia
Saeed Mozaffari Iran
Muhammad Uzair Pakistan
Alex Holub United States
Seungjin Choi South Korea
Subhadip Basu relative to Chandan Singh India Chandan Singh's profile →
Citations per field
00.5×6.4×
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-authors

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

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012119
2 200683
3 201182
4 201279
5 200972
6 201463
7 201058
8 201154
9
License Plate Localization from Vehicle Images: An Edge Based Multi-stage Approach
200943
10 201840
11 201440
12 201033
13 201932
14 201232
15 202131
16 202029
17 202029
18 201828
19 200728
20 201727

About Subhadip Basu

Subhadip Basu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Media Technology, Computational Theory and Mathematics and Artificial Intelligence, having authored 130 papers that have together received 1.9k 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), Image Processing and 3D Reconstruction (14 papers) and Protein Structure and Dynamics (14 papers). The work is most often cited by research in Media Technology (707 citations), Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (168 citations), Computational Theory and Mathematics (172 citations) and Artificial Intelligence (300 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, International Journal of Molecular Sciences, Briefings in Functional Genomics, PeerJ and Methods.

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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