Mitra Basu

2.1k total citations · 1 hit paper
44 papers, 1.3k citations indexed

About

Mitra Basu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Mitra Basu has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 8 papers in Molecular Biology. Recurrent topics in Mitra Basu's work include Medical Image Segmentation Techniques (7 papers), Neural Networks and Applications (7 papers) and Advanced Image Fusion Techniques (6 papers). Mitra Basu is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Neural Networks and Applications (7 papers) and Advanced Image Fusion Techniques (6 papers). Mitra Basu collaborates with scholars based in United States, India and Switzerland. Mitra Basu's co-authors include Tin Kam Ho, Neelam Chhillar, Kiran Bala, Raman Chawla, Stephen C. Cowin, Susannah P. Fritton, Mohammad Mustafa, Mi Li, J. S. Adhikari and B. Banerjee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Neural Networks.

In The Last Decade

Mitra Basu

42 papers receiving 1.2k citations

Hit Papers

Complexity measures of supervised classification problems 2002 2026 2010 2018 2002 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mitra Basu United States 15 528 442 163 118 81 44 1.3k
Pai‐Hsuen Chen Taiwan 4 502 1.0× 431 1.0× 175 1.1× 74 0.6× 47 0.6× 4 1.3k
Zhibin Pan China 23 418 0.8× 800 1.8× 142 0.9× 193 1.6× 69 0.9× 97 1.6k
Fu Chang Taiwan 16 278 0.5× 756 1.7× 149 0.9× 108 0.9× 61 0.8× 60 1.3k
Razieh Sheikhpour Iran 16 570 1.1× 421 1.0× 179 1.1× 76 0.6× 108 1.3× 46 1.2k
Yves Grandvalet France 20 1.2k 2.2× 740 1.7× 180 1.1× 85 0.7× 93 1.1× 46 2.2k
Craig Saunders United Kingdom 15 847 1.6× 502 1.1× 162 1.0× 48 0.4× 87 1.1× 43 1.6k
Yue Chen China 15 261 0.5× 418 0.9× 116 0.7× 76 0.6× 56 0.7× 67 1.1k
Yilin Yan United States 10 635 1.2× 352 0.8× 84 0.5× 48 0.4× 122 1.5× 23 1.3k
Fukunaga Japan 6 506 1.0× 309 0.7× 123 0.8× 80 0.7× 81 1.0× 11 1.2k

Countries citing papers authored by Mitra Basu

Since Specialization
Citations

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

Fields of papers citing papers by Mitra Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitra Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Mitra Basu. A scholar is included among the top collaborators of Mitra Basu 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 Mitra Basu. Mitra Basu 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
1.
Tanwar, Ankit, Harvinder Kaur, Raman Chawla, et al.. (2019). In silico bioprospection analysis for identification of herbal compound targeting Clostridium difficile. 18(4). 655–661. 1 indexed citations
2.
Chawla, Raman, et al.. (2019). Efficacy and dermal toxicity analysis of Sildenafil citrate based topical hydrogel formulation against traumatic wounds. Biomedicine & Pharmacotherapy. 112. 108571–108571. 36 indexed citations
3.
Soni, Sandeep, Mitra Basu, Priyanka Agrawal, Aseem Bhatnagar, & Neelam Chhillar. (2018). Evaluation of Gamma Radiation-Induced Biochemical Changes in Skin for Dose Assesment: A Study on Small Experimental Animals. Disaster Medicine and Public Health Preparedness. 13(2). 197–202. 5 indexed citations
4.
Ojha, Himanshu, Mallika Pathak, Mitra Basu, et al.. (2017). Luminescence, circular dichroism and in silico studies of binding interaction of synthesized naphthylchalcone derivatives with bovine serum albumin. Luminescence. 32(7). 1252–1262. 21 indexed citations
5.
Tanwar, Ankit, Raman Chawla, Md. Meraj Ansari, et al.. (2017). In vivo anti-arthritic efficacy of Camellia sinensis (L.) in collagen induced arthritis model. Biomedicine & Pharmacotherapy. 87. 92–101. 21 indexed citations
6.
Sharma, Deepti, Navneet Sharma, Mallika Pathak, et al.. (2017). Homology modeling and docking studies of VP24 protein of Ebola virus with an antiviral drug and its derivatives. Chemical Biology Letters. 4(1). 27–32. 7 indexed citations
7.
Tanwar, Ankit, Raman Chawla, Ankita Singh Chakotiya, et al.. (2016). Effect of Holarrhena antidysentrica (Ha) and Andrographis paniculata (Ap) on the biofilm formation and cell membrane integrity of opportunistic pathogen Salmonella typhimurium. Microbial Pathogenesis. 101. 76–82. 10 indexed citations
8.
Soni, Sandeep, et al.. (2016). Multiple parametric approaches to assess acute radiation lung injury of rats. The Ukrainian Biochemical Journal. 88(1). 22–30. 1 indexed citations
9.
Aggarwal, Rashmi, et al.. (2016). Zika virus disease. International Journal of Community Medicine and Public Health. 1352–1354. 1 indexed citations
10.
Sharma, Deepika, et al.. (2014). Intergenotypic variation of Vitamin B12 and Folate in AD: In north Indian population. Annals of Indian Academy of Neurology. 17(3). 308–308. 9 indexed citations
11.
Chhillar, Neelam, et al.. (2012). Organochlorine pesticide levels and risk of Alzheimer’s disease in north Indian population. Human & Experimental Toxicology. 32(1). 24–30. 69 indexed citations
12.
Basu, Mitra & Tin Kam Ho. (2006). Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing). Springer eBooks. 8(5). 14–5. 11 indexed citations
13.
Li, Mi, Susannah P. Fritton, Mitra Basu, & Stephen C. Cowin. (2005). Analysis of avian bone response to mechanical loading—Part One: Distribution of bone fluid shear stress induced by bending and axial loading. Biomechanics and Modeling in Mechanobiology. 4(2-3). 118–131. 20 indexed citations
14.
Basu, Mitra, Horst Bunke, & Alberto Del Bimbo. (2005). Guest editors' introduction to the special section on syntactic and structural pattern recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(7). 1009–1012. 6 indexed citations
15.
Li, Mi, Mitra Basu, Susannah P. Fritton, & Stephen C. Cowin. (2005). Analysis of avian bone response to mechanical loading, Part Two: Development of a computational connected cellular network to study bone intercellular communication. Biomechanics and Modeling in Mechanobiology. 4(2-3). 132–146. 23 indexed citations
16.
Basu, Mitra. (2005). Guest Editor's Introduction to Special Issue on Grammatical Inference. Pattern Recognition. 38(9). 1330–1331. 1 indexed citations
17.
Basu, Mitra & Tin Kam Ho. (2003). The learning behavior of single neuron classifiers on linearly separable or nonseparable input. 2. 1259–1264. 19 indexed citations
18.
Basu, Mitra, et al.. (2002). An experiment with Gaussian derivatives for image enhancement. 4. 3778–3783. 1 indexed citations
19.
Basu, Mitra, et al.. (1999). A GAUSSIAN DERIVATIVE OPERATOR FOR AUTHENTIC EDGE DETECTION AND ACCURATE EDGE LOCALIZATION. International Journal of Pattern Recognition and Artificial Intelligence. 13(3). 367–380. 13 indexed citations
20.
Basu, Mitra & Quan Liang. (1998). The fractional correction rule: a new perspective. Neural Networks. 11(6). 1027–1039. 6 indexed citations

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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