Abhishek Bhattacherjee

847 total citations
45 papers, 559 citations indexed

About

Abhishek Bhattacherjee is a scholar working on Computer Vision and Pattern Recognition, Clinical Biochemistry and Plant Science. According to data from OpenAlex, Abhishek Bhattacherjee has authored 45 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Clinical Biochemistry and 7 papers in Plant Science. Recurrent topics in Abhishek Bhattacherjee's work include Advanced Glycation End Products research (7 papers), Digital Imaging for Blood Diseases (6 papers) and Phytochemicals and Antioxidant Activities (6 papers). Abhishek Bhattacherjee is often cited by papers focused on Advanced Glycation End Products research (7 papers), Digital Imaging for Blood Diseases (6 papers) and Phytochemicals and Antioxidant Activities (6 papers). Abhishek Bhattacherjee collaborates with scholars based in India, Canada and United States. Abhishek Bhattacherjee's co-authors include Abhay Sankar Chakraborti, Abhijit Datta, Yuliya Hrynets, Mirko Betti, Matthew S. Macauley, Chris D. St. Laurent, Jaesoo Jung, Tanushree Ghosh, Ghazaleh Eskandari‐Sedighi and Jhon R. Enterina and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Abhishek Bhattacherjee

36 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhishek Bhattacherjee India 15 169 107 98 85 82 45 559
Haifeng Tang China 12 233 1.4× 41 0.4× 37 0.4× 22 0.3× 99 1.2× 27 685
Liang Feng China 13 342 2.0× 60 0.6× 61 0.6× 53 0.6× 53 0.6× 34 659
Hsiu-Chung Ou Taiwan 11 243 1.4× 28 0.3× 64 0.7× 102 1.2× 31 0.4× 14 611
Julius Liobikas Lithuania 18 526 3.1× 65 0.6× 101 1.0× 32 0.4× 66 0.8× 40 1.0k
Yajing Chen China 20 334 2.0× 46 0.4× 51 0.5× 23 0.3× 50 0.6× 50 1.1k
Radhika Kapoor India 10 151 0.9× 18 0.2× 56 0.6× 92 1.1× 84 1.0× 24 598
Mihir Parmar Saudi Arabia 12 154 0.9× 25 0.2× 88 0.9× 12 0.1× 117 1.4× 33 587

Countries citing papers authored by Abhishek Bhattacherjee

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Bhattacherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Bhattacherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Bhattacherjee. A scholar is included among the top collaborators of Abhishek Bhattacherjee 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 Abhishek Bhattacherjee. Abhishek Bhattacherjee 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.
Kukreja, Vinay, et al.. (2025). A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset. Results in Engineering. 26. 105317–105317. 2 indexed citations
2.
Kukreja, Vinay, Shanmugasundaram Hariharan, Murugaperumal Krishnamoorthy, et al.. (2025). Modelling radiological features fusion and explainable AI in pneumonia detection: A graph- based deep learning and transformer approach. Results in Engineering. 26. 105225–105225. 1 indexed citations
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Kollem, Sreedhar, et al.. (2025). Spatial attention-guided pre-trained networks for accurate identification of crop diseases. Scientific Reports. 15(1). 23213–23213. 2 indexed citations
5.
Channi, Harpreet Kaur, Raman Kumar, Željko Stević, et al.. (2024). Optimizing Electric Mobility: A Multi-Criteria Decision-Making Approach for Sustainable Future of Electric Vehicles Through Smart Motor Choices. Journal Européen des Systèmes Automatisés. 57(6). 1825–1845. 4 indexed citations
6.
7.
Singh, Vinay Kumar, et al.. (2024). Practical Assessment of Large Language Models in Cloud Computing Using Real-World Data Applications. 356–362. 5 indexed citations
8.
Verma, Ashish, et al.. (2024). A Suggested Model for Using Multi Factor Authentication Framework in Cloud Computing for SME. 192–197. 6 indexed citations
9.
Banerjee, Deepak, et al.. (2024). Enhancing Rice Leaf Disease Classification: A CNN-SVM Approach. 1–6. 2 indexed citations
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11.
Kukreja, Vinay, et al.. (2023). Felis catus disease detection in the digital era: Combining CNN and Random Forest. 1–7. 2 indexed citations
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13.
Bhattacherjee, Abhishek, Vinay Kukreja, & Arun Aggarwal. (2023). Stakeholders’ perspective towards employability: a hybrid fuzzy AHP-TOPSIS Approach. Education and Information Technologies. 29(2). 2157–2181. 6 indexed citations
14.
Jung, Jaesoo, Jhon R. Enterina, Duong T. Bui, et al.. (2021). Carbohydrate Sulfation As a Mechanism for Fine-Tuning Siglec Ligands. ACS Chemical Biology. 16(11). 2673–2689. 46 indexed citations
15.
Bhattacherjee, Abhishek, Jaesoo Jung, Ghazaleh Eskandari‐Sedighi, et al.. (2021). The CD33 short isoform is a gain-of-function variant that enhances Aβ1–42 phagocytosis in microglia. Molecular Neurodegeneration. 16(1). 19–19. 54 indexed citations
16.
Kumar, Raman, et al.. (2020). Selection of portable hard disk drive based upon weighted aggregated sum product assessment method: A case of Indian market. Measurement and Control. 53(7-8). 1218–1230. 27 indexed citations
17.
Bhattacherjee, Abhishek, et al.. (2017). Bimolecular interaction of argpyrimidine (a Maillard reaction product) in in vitro non-enzymatic protein glycation model and its potential role as an antiglycating agent. International Journal of Biological Macromolecules. 102. 1274–1285. 10 indexed citations
18.
Bhattacherjee, Abhishek, Yuliya Hrynets, & Mirko Betti. (2016). Fructosazine, a Polyhydroxyalkylpyrazine with Antimicrobial Activity: Mechanism of Inhibition against Extremely Heat Resistant Escherichia coli. Journal of Agricultural and Food Chemistry. 64(45). 8530–8539. 14 indexed citations
19.
Bhattacherjee, Abhishek & Abhijit Datta. (2015). Mechanism of antiglycating properties of syringic and chlorogenic acids in in vitro glycation system. Food Research International. 77. 540–548. 49 indexed citations
20.
Bhattacherjee, Abhishek, et al.. (2012). Methylglyoxal-induced modifications of hemoglobin: Structural and functional characteristics. Archives of Biochemistry and Biophysics. 529(2). 99–104. 51 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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