Amlan Chakrabarti

5.2k total citations
317 papers, 2.8k citations indexed

About

Amlan Chakrabarti is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Amlan Chakrabarti has authored 317 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Artificial Intelligence, 63 papers in Computer Vision and Pattern Recognition and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Amlan Chakrabarti's work include Black Holes and Theoretical Physics (43 papers), Quantum Computing Algorithms and Architecture (29 papers) and Quantum Chromodynamics and Particle Interactions (28 papers). Amlan Chakrabarti is often cited by papers focused on Black Holes and Theoretical Physics (43 papers), Quantum Computing Algorithms and Architecture (29 papers) and Quantum Chromodynamics and Particle Interactions (28 papers). Amlan Chakrabarti collaborates with scholars based in India, France and Japan. Amlan Chakrabarti's co-authors include Saptarsi Goswami, D. H. Tchrakian, Basabi Chakraborty, Amit Kumar Das, Alain Comtet, Sanjay Chakraborty, Susmita Sur‐Kolay, Ranjan Ghosh, D. Arnaudon and Sachin Agarwal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nuclear Physics B.

In The Last Decade

Amlan Chakrabarti

293 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amlan Chakrabarti India 24 916 463 383 306 296 317 2.8k
Stefan M. Wild United States 26 683 0.7× 1.3k 2.9× 143 0.4× 124 0.4× 280 0.9× 132 3.6k
John Moody United States 27 3.4k 3.7× 447 1.0× 1.2k 3.1× 561 1.8× 420 1.4× 50 6.8k
Takuji Nishimura Japan 6 1.0k 1.1× 77 0.2× 831 2.2× 377 1.2× 247 0.8× 12 3.9k
Marco Brambilla Italy 33 1.0k 1.1× 1.5k 3.2× 160 0.4× 408 1.3× 128 0.4× 252 4.3k
Danilo Jimenez Rezende United States 19 1.5k 1.6× 190 0.4× 1.2k 3.0× 170 0.6× 260 0.9× 39 2.9k
Serge Lang United States 43 922 1.0× 146 0.3× 152 0.4× 336 1.1× 587 2.0× 169 8.1k
Barnabás Póczos United States 29 1.5k 1.6× 76 0.2× 736 1.9× 240 0.8× 121 0.4× 120 3.3k
Tony Hey United Kingdom 29 758 0.8× 804 1.7× 173 0.5× 194 0.6× 209 0.7× 152 4.6k
E. Amaldi Italy 30 373 0.4× 446 1.0× 342 0.9× 1.3k 4.2× 114 0.4× 177 3.4k
Carlos Ordońẽz United States 25 797 0.9× 1.2k 2.6× 285 0.7× 58 0.2× 329 1.1× 198 3.3k

Countries citing papers authored by Amlan Chakrabarti

Since Specialization
Citations

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

Fields of papers citing papers by Amlan Chakrabarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amlan Chakrabarti

This figure shows the co-authorship network connecting the top 25 collaborators of Amlan Chakrabarti. A scholar is included among the top collaborators of Amlan Chakrabarti 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 Amlan Chakrabarti. Amlan Chakrabarti 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.
Pal, Ranita, et al.. (2025). High-speed system-on-chip-based platform for real-time crop disease and pest detection using deep learning techniques. Computers & Electrical Engineering. 123. 110182–110182. 1 indexed citations
2.
Goswami, Saptarsi, et al.. (2025). An Adaptive Deep Learning Based Short-Term Wind Speed Forecasting Model for Variable Terrain Conditions. IEEE Transactions on Artificial Intelligence. 6(9). 2437–2447. 1 indexed citations
3.
Chakrabarti, Amlan, et al.. (2025). A lightweight network for brain MRI segmentation. Scientific Reports. 15(1). 36540–36540.
4.
Chakrabarti, Amlan, et al.. (2024). FragQC: An efficient quantum error reduction technique using quantum circuit fragmentation. Journal of Systems and Software. 214. 112085–112085. 1 indexed citations
5.
Chakrabarti, Amlan, et al.. (2024). Modeling and Analysis of Lung Water Content Using RF Sensor. SHILAP Revista de lepidopterología. 3. 1–8. 3 indexed citations
6.
Ganguli, Bhaswati, et al.. (2024). Multivariate Bayesian Time-Series Model with Multi-temporal Convolution Network for Forecasting Stock Market During COVID-19 Pandemic. International Journal of Computational Intelligence Systems. 17(1). 2 indexed citations
7.
Mukhopadhyay, Sabyasachi & Amlan Chakrabarti. (2023). A Review on the Impacts of Artificial Intelligence (AI) on Youth. 195–207. 3 indexed citations
8.
Das, Amit Kumar, et al.. (2022). Deep learning based automated disease detection and pest classification in Indian mung bean. Multimedia Tools and Applications. 82(8). 12017–12041. 47 indexed citations
9.
Goswami, Saptarsi, et al.. (2021). A Novel Feature Representation for Prediction of Global Horizontal Irradiance Using a Bidirectional Model. SHILAP Revista de lepidopterología. 3(4). 946–965. 1 indexed citations
10.
Chakrabarti, Amlan, et al.. (2019). Generation of Ball Possession Statistics in Soccer Using Minimum-Cost Flow Network. 2515–2523. 16 indexed citations
11.
Chakrabarti, Amlan, et al.. (2018). Demonetization and its aftermath: an analysis based on twitter sentiments. Sadhana. 43(11). 11 indexed citations
12.
Chakrabarti, Amlan, et al.. (2016). Design and Implementation of Technology Enabled Affective Learning Using Fusion of Bio-Physical and Facial Expression. Educational Technology & Society. 19(4). 112–125. 13 indexed citations
13.
Chakrabarti, Amlan, et al.. (2013). Design of A Hardware Description Language Based Quantum Circuit Simulator. 1 indexed citations
14.
Chakrabarti, Amlan & Susmita Sur‐Kolay. (2007). Nearest Neighbour based Synthesis of Quantum Boolean Circuits. Engineering letters. 15. 356–361. 18 indexed citations
15.
Chakrabarti, Amlan & D. H. Tchrakian. (1996). Spherically symmetric instantons of the scale invariant SU(2) gauged Grassmannian model in d = 4. Physics Letters B. 376(1-3). 59–64. 4 indexed citations
16.
17.
Chakrabarti, Amlan. (1988). Wigner Rotations and Precession of Polarization. Fortschritte der Physik/Progress of Physics. 36(11). 863–880. 6 indexed citations
18.
Chakrabarti, Amlan, et al.. (1983). Complex, self-dual Euclidean SU(2) gauge fields with finite real actions. Journal of Mathematical Physics. 24(3). 659–673. 2 indexed citations
19.
Chakrabarti, Amlan, et al.. (1980). Gauge field configurations in curved space-times. IV. Self-dual SU(2) fields in multicenter spaces. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 21(8). 2280–2284. 19 indexed citations
20.
Chakrabarti, Amlan. (1975). On classical solutions of $SU(3)$ gauge field equations. French digital mathematics library (Numdam). 23(3). 235–249. 1 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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