Dipankar Das

1.3k total citations · 1 hit paper
16 papers, 617 citations indexed

About

Dipankar Das is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Dipankar Das has authored 16 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Ophthalmology. Recurrent topics in Dipankar Das's work include Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dipankar Das is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dipankar Das collaborates with scholars based in India, United States and United Kingdom. Dipankar Das's co-authors include Bharat Kaul, Hyoukjun Kwon, Sudarshan Srinivasan, Ananda Samajdar, Eric Qin, Tushar Krishna, Pradeep Dubey, Satya Gautam Vadlamudi, Md. Mostofa Ali Patwary and Michael J. Anderson and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Instrumentation and Measurement and Image and Vision Computing.

In The Last Decade

Dipankar Das

14 papers receiving 598 citations

Hit Papers

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexi... 2020 2026 2022 2024 2020 50 100 150 200 250
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.

  1. SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training
    2020 288 citations Eric Qin, Ananda Samajdar et al. profile →

Peers

Dipankar Das
Yuze Chi United States
Yuke Wang United States
Hardik Sharma United States
Mingyu Yan China
Youngsok Kim South Korea
Youwei Zhuo United States
David Sheffield United States
Fredrik Kjølstad United States
Amr T. Abdel-Hamid Egypt
Yuze Chi United States
Dipankar Das
Citations per year, relative to Dipankar Das Dipankar Das (= 1×) peers Yuze Chi

Countries citing papers authored by Dipankar Das

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Das

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

All Works

16 of 16 papers shown
1.
Das, Dipankar, Deepak Ranjan Nayak, & Ram Bilas Pachori. (2025). Glaucoformer: Dual-Domain Global Transformer Network for Generalized Glaucoma Stage Classification. IEEE Journal of Biomedical and Health Informatics. 29(11). 8450–8459.
2.
Das, Dipankar, Deepak Ranjan Nayak, & Ram Bilas Pachori. (2024). AES-Net: An adapter and enhanced self-attention guided network for multi-stage glaucoma classification using fundus images. Image and Vision Computing. 146. 105042–105042. 8 indexed citations
3.
Das, Dipankar & Deepak Ranjan Nayak. (2024). FJA-Net: A Fuzzy Joint Attention Guided Network for Classification of Glaucoma Stages. IEEE Transactions on Fuzzy Systems. 32(10). 5438–5448. 4 indexed citations
4.
Das, Dipankar, Deepak Ranjan Nayak, Sulatha V. Bhandary, & U. Rajendra Acharya. (2024). CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus images. Engineering Applications of Artificial Intelligence. 133. 108454–108454. 14 indexed citations
5.
Das, Dipankar, Deepak Ranjan Nayak, & Ram Bilas Pachori. (2023). CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images. IEEE Transactions on Instrumentation and Measurement. 72. 1–10. 32 indexed citations
6.
Das, Dipankar & Deepak Ranjan Nayak. (2023). GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification. arXiv (Cornell University). 3454–3458. 6 indexed citations
7.
Das, Dipankar, et al.. (2022). LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification. International Journal of Imaging Systems and Technology. 33(2). 495–510. 3 indexed citations
8.
Qin, Eric, Ananda Samajdar, Hyoukjun Kwon, et al.. (2020). SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. 58–70. 288 indexed citations breakdown →
9.
Ranjan, Ashish, et al.. (2019). Manna. 794–806. 15 indexed citations
10.
Das, Dipankar, Naveen Mellempudi, Dheevatsa Mudigere, et al.. (2018). Mixed Precision Training of Convolutional Neural Networks using Integer Operations. arXiv (Cornell University). 15 indexed citations
11.
Das, Dipankar, et al.. (2017). Strength Training: A Fitness Application for Indoor Based Exercise Recognition and Comfort Analysis. 1126–1129. 14 indexed citations
12.
Patwary, Md. Mostofa Ali, Nadathur Satish, Narayanan Sundaram, et al.. (2015). Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms.. 48–57. 2 indexed citations
13.
Sundaram, Narayanan, Nadathur Satish, Md. Mostofa Ali Patwary, et al.. (2015). GraphMat. Proceedings of the VLDB Endowment. 8(11). 1214–1225. 207 indexed citations
14.
Das, Dipankar, et al.. (2014). Tolosa-Hunt syndrome. Sri Lanka Journal of Child Health. 43(4). 244–245. 3 indexed citations
15.
16.
Kundu, Amitava, Dipankar Das, & Sivaji Bandyopadhyay. (2013). Scene Boundary Detection from Movie Dialogue: A Genetic Algorithm Approach. 47. 55–60. 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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