Mahua Bhattacharya

1.3k total citations
104 papers, 723 citations indexed

About

Mahua Bhattacharya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mahua Bhattacharya has authored 104 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Mahua Bhattacharya's work include Medical Image Segmentation Techniques (26 papers), AI in cancer detection (16 papers) and Brain Tumor Detection and Classification (12 papers). Mahua Bhattacharya is often cited by papers focused on Medical Image Segmentation Techniques (26 papers), AI in cancer detection (16 papers) and Brain Tumor Detection and Classification (12 papers). Mahua Bhattacharya collaborates with scholars based in India, Taiwan and United Kingdom. Mahua Bhattacharya's co-authors include Arpita Das, Gagandeep Kaur, Prasenjit Chanak, Goutam Ghosh, D. Dutta Majumder, Anupam Shukla, Prashant Singh Rana, Vinod K. Gaur, Harish Sharma and Rahul Kala and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and IEEE Transactions on Industrial Informatics.

In The Last Decade

Mahua Bhattacharya

95 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahua Bhattacharya India 15 273 242 156 101 85 104 723
Raju Pal India 17 254 0.9× 309 1.3× 205 1.3× 163 1.6× 44 0.5× 41 722
Gokulnath Chandra Babu India 11 173 0.6× 293 1.2× 213 1.4× 82 0.8× 94 1.1× 25 827
Habib Dhahri Saudi Arabia 17 97 0.4× 383 1.6× 94 0.6× 77 0.8× 92 1.1× 46 675
Heba G. Mohamed Saudi Arabia 17 165 0.6× 147 0.6× 101 0.6× 128 1.3× 35 0.4× 73 695
Shaimaa Ahmed Elsaid Egypt 13 136 0.5× 310 1.3× 220 1.4× 57 0.6× 54 0.6× 27 675
J. Dinesh Peter India 18 272 1.0× 319 1.3× 140 0.9× 36 0.4× 316 3.7× 66 821
Ghufran Ahmad Khan China 12 250 0.9× 284 1.2× 78 0.5× 24 0.2× 67 0.8× 25 581
Pardeep Kumar India 16 570 2.1× 148 0.6× 64 0.4× 69 0.7× 47 0.6× 56 880
Salabat Khan Pakistan 15 138 0.5× 271 1.1× 167 1.1× 129 1.3× 88 1.0× 33 603
B. Karthikeyan India 14 177 0.6× 112 0.5× 55 0.4× 104 1.0× 71 0.8× 76 619

Countries citing papers authored by Mahua Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Mahua Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahua Bhattacharya

This figure shows the co-authorship network connecting the top 25 collaborators of Mahua Bhattacharya. A scholar is included among the top collaborators of Mahua Bhattacharya 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 Mahua Bhattacharya. Mahua Bhattacharya 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.
Kaur, Gagandeep, et al.. (2024). Intelligent cotton ball maturity prediction model for smart agriculture. AIP conference proceedings. 2919. 50004–50004. 1 indexed citations
2.
Bhattacharya, Mahua, et al.. (2023). Smart Irrigation Management System for Precision Agriculture. 1–5. 4 indexed citations
3.
Bhattacharya, Mahua, et al.. (2022). A novel DeepML framework for multi‐classification of breast cancer based on transfer learning. International Journal of Imaging Systems and Technology. 32(6). 1963–1977. 6 indexed citations
4.
Goudar, Venkanagouda S., et al.. (2021). Quantitative and Qualitative Image Analysis of In Vitro Co-Culture 3D Tumor Spheroid Model by Employing Image-Processing Techniques. Applied Sciences. 11(10). 4636–4636. 4 indexed citations
5.
Mehrotra, Raj, et al.. (2020). A novel attention fusion network-based framework to ensemble the predictions of CNNs for lymph node metastasis detection. The Journal of Supercomputing. 77(4). 4201–4220. 8 indexed citations
6.
Bhattacharya, Mahua, et al.. (2020). Discrimination and quantification of live/dead rat brain cells using a non-linear segmentation model. Medical & Biological Engineering & Computing. 58(5). 1127–1146. 8 indexed citations
7.
Rastogi, Ayushi, et al.. (2019). LRNeuNet: An attention based deep architecture for lipreading from multitudinous sized videos. 1 indexed citations
8.
Singh, Priyanka, Ritu Tiwari, & Mahua Bhattacharya. (2016). Navigation in Multi Robot system using cooperative learning: A survey. 145–150. 6 indexed citations
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Rana, Prashant Singh, et al.. (2013). Structure stability analysis of Ni<SUB align="right">n(n = 2 - 22) using nature inspired algorithms: a performance study. International Journal of Advanced Intelligence Paradigms. 5(1/2). 16–16. 1 indexed citations
11.
Bhattacharya, Mahua, et al.. (2012). Development of Application Specific Continuous Speech Recognition System in Hindi. Journal of Signal and Information Processing. 3(3). 394–401. 16 indexed citations
12.
Das, Arpita & Mahua Bhattacharya. (2011). Computerized Decision Support System for Mass Identification in Breast Using Digital Mammogram: A Study on GA-Based Neuro-Fuzzy Approaches. Advances in experimental medicine and biology. 696. 523–533. 7 indexed citations
13.
Kala, Rahul, et al.. (2010). Evolutionary Radial Basis Function Network for Classificatory Problems.. 7. 34–49. 14 indexed citations
14.
Singh, Pramod Kumar, et al.. (2010). A New Technique For Feature Selection And Cluster Center Initialization.. 23(3). 119–125. 1 indexed citations
15.
Bhattacharya, Mahua, et al.. (2010). Speech based dialog query system over asterisk PBX server. 4. V3–752. 8 indexed citations
16.
Das, Arpita & Mahua Bhattacharya. (2009). A novel vague set approach for selective contrast enhancement of mammograms using multiresolution. Journal of Biomedical Science and Engineering. 2(8). 575–581.
17.
Bhattacharya, Mahua & Arpita Das. (2007). Discrimination for Malignant and Benign Masses in Breast Using Mammogram: A Study on Adaptive Neuro-Fuzzy Approaches.. Indian International Conference on Artificial Intelligence. 1007–1026. 2 indexed citations
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Majumder, D. Dutta & Mahua Bhattacharya. (2000). Frank H. George Research Award Winning Paper. Kybernetes. 29(7/8). 871–895. 11 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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