Ayan Chakrabarti

3.4k total citations · 3 hit papers
41 papers, 1.6k citations indexed

About

Ayan Chakrabarti is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Ayan Chakrabarti has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 10 papers in Atomic and Molecular Physics, and Optics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Ayan Chakrabarti's work include Image Enhancement Techniques (11 papers), Color Science and Applications (10 papers) and Image and Signal Denoising Methods (8 papers). Ayan Chakrabarti is often cited by papers focused on Image Enhancement Techniques (11 papers), Color Science and Applications (10 papers) and Image and Signal Denoising Methods (8 papers). Ayan Chakrabarti collaborates with scholars based in United States, Israel and China. Ayan Chakrabarti's co-authors include Todd Zickler, Keigo Hirakawa, William T. Freeman, Andreas Veit, Daniel Gläsner, Rama Chellappa, A. N. Rajagopalan, Srinadh Bhojanapalli, Thomas Unterthiner and Daliang Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, New Phytologist and IEEE Transactions on Multimedia.

In The Last Decade

Ayan Chakrabarti

41 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Statistics of real-world hyperspectral images

2011 451 citations Ayan Chakrabarti, Todd Zickler profile →
Understanding Robustness of Transformers for Image Classification

2021 227 citations Ayan Chakrabarti, Daniel Gläsner et al. profile →
Rethinking FID: Towards a Better Evaluation Metric for Image Generation

2024 45 citations Sadeep Jayasumana, Srikumar Ramalingam et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ayan Chakrabarti United States	17	1.2k	701	265	189	127	41	1.6k
Keigo Hirakawa United States	22	1.4k 1.2×	822 1.2×	301 1.1×	78 0.4×	100 0.8×	106	1.8k
Seon Joo Kim South Korea	24	2.2k 1.8×	701 1.0×	255 1.0×	124 0.7×	57 0.4×	61	2.6k
Besma Abidi United States	22	1.7k 1.4×	590 0.8×	144 0.5×	125 0.7×	53 0.4×	76	2.1k
Bogdan Smołka Poland	22	1.7k 1.4×	870 1.2×	63 0.2×	166 0.9×	121 1.0×	172	2.1k
Irwin Sobel United States	14	1.2k 1.0×	363 0.5×	212 0.8×	80 0.4×	58 0.5×	24	1.6k
Jinjian Wu China	32	3.5k 2.9×	2.1k 3.0×	255 1.0×	188 1.0×	202 1.6×	169	4.2k
André Kaup Germany	25	2.7k 2.2×	435 0.6×	88 0.3×	132 0.7×	186 1.5×	363	3.1k
Sonja Grgić Croatia	18	1.5k 1.2×	377 0.5×	46 0.2×	177 0.9×	74 0.6×	97	1.9k
Christophe Charrier France	13	2.1k 1.7×	1.1k 1.5×	208 0.8×	60 0.3×	47 0.4×	60	2.3k
R. van den Boomgaard Netherlands	15	1000 0.8×	227 0.3×	101 0.4×	119 0.6×	59 0.5×	34	1.3k

Countries citing papers authored by Ayan Chakrabarti

Since Specialization

Citations

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

Fields of papers citing papers by Ayan Chakrabarti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayan Chakrabarti

This figure shows the co-authorship network connecting the top 25 collaborators of Ayan Chakrabarti. A scholar is included among the top collaborators of Ayan 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 Ayan Chakrabarti. Ayan Chakrabarti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jayasumana, Sadeep, Srikumar Ramalingam, Andreas Veit, et al.. (2024). Rethinking FID: Towards a Better Evaluation Metric for Image Generation. 9307–9315. 45 indexed citations breakdown →

Jayasumana, Sadeep, Daniel Gläsner, Srikumar Ramalingam, et al.. (2024). MarkovGen: Structured Prediction for Efficient Text-to-Image Generation. 9316–9325. 1 indexed citations

Yang, Xiangxing, et al.. (2023). LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge. 1–14. 9 indexed citations

Panda, Kaushik, Ayan Chakrabarti, Noah Fahlgren, et al.. (2023). The plant response to highCO₂levels is heritable and orchestrated byDNAmethylation. New Phytologist. 238(6). 2427–2439. 14 indexed citations

Chakrabarti, Ayan, et al.. (2022). Adaptive Edge Offloading for Image Classification Under Rate Limit. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 3886–3897. 17 indexed citations

Xia, Zhihao, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, & Ayan Chakrabarti. (2021). Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. 2063–2072. 11 indexed citations

Cao, Weidong, Liu Ke, Ayan Chakrabarti, & Xuan Zhang. (2020). Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(5). 808–821. 13 indexed citations

Chakrabarti, Ayan, et al.. (2020). A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing. 2 indexed citations

Xia, Zhihao, et al.. (2020). Generating and Exploiting Probabilistic Monocular Depth Estimates. 20 indexed citations

10.

Cao, Weidong, Xin He, Ayan Chakrabarti, & Xuan Zhang. (2019). NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(9). 1841–1854. 20 indexed citations

11.

Xia, Zhihao & Ayan Chakrabarti. (2019). Training Image Estimators without Image Ground-Truth. Neural Information Processing Systems. 32. 2436–2446. 2 indexed citations

12.

Chakrabarti, Ayan & Benjamin Moseley. (2019). Backprop with Approximate Activations for Memory-efficient Network Training. arXiv (Cornell University). 32. 2426–2435. 1 indexed citations

13.

Cao, Weidong, Xin He, Ayan Chakrabarti, & Xuan Zhang. (2019). NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support. 1477–1482. 13 indexed citations

14.

Hui, Zhuo, Ayan Chakrabarti, Kalyan Sunkavalli, & Aswin C. Sankaranarayanan. (2019). Learning to Separate Multiple Illuminants in a Single Image. 3775–3784. 5 indexed citations

15.

Chakrabarti, Ayan, et al.. (2017). Jointly optimizing placement and inference for beacon-based localization. 6609–6616. 6 indexed citations

16.

Chakrabarti, Ayan & Kalyan Sunkavalli. (2016). Single-Image RGB Photometric Stereo with Spatially-Varying Albedo. 258–266. 12 indexed citations

17.

Xiong, Ying, Ayan Chakrabarti, Ronen Basri, et al.. (2014). From Shading to Local Shape. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(1). 67–79. 53 indexed citations

18.

Chakrabarti, Ayan, Todd Zickler, & William T. Freeman. (2010). Analyzing spatially-varying blur. 2512–2519. 131 indexed citations

19.

Chakrabarti, Ayan, Keigo Hirakawa, & Todd Zickler. (2008). Color constancy beyond bags of pixels. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 1–6. 29 indexed citations

20.

Chakrabarti, Ayan, A. N. Rajagopalan, & Rama Chellappa. (2007). Super-Resolution of Face Images Using Kernel PCA-Based Prior. IEEE Transactions on Multimedia. 9(4). 888–892. 136 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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