Diganta Misra

2.5k total citations · 2 hit papers
8 papers, 958 citations indexed

About

Diganta Misra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Diganta Misra has authored 8 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Mathematical Physics. Recurrent topics in Diganta Misra's work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (1 paper). Diganta Misra is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Adversarial Robustness in Machine Learning (1 paper). Diganta Misra collaborates with scholars based in India, United States and Singapore. Diganta Misra's co-authors include Qibin Hou, Clément Nicolas, Marion Grould, Bhargav Appasani, J. Foucher, Nisha Gupta, Vijay Kumar Verma and V. P. Singh and has published in prestigious journals such as Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Czechoslovak Mathematical Journal and arXiv (Cornell University).

In The Last Decade

Diganta Misra

5 papers receiving 937 citations

Hit Papers

Rotate to Attend: Convolutional Triplet Attention Module 2019 2026 2021 2023 2021 2019 200 400 600
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. Rotate to Attend: Convolutional Triplet Attention Module
    2021 626 citations Diganta Misra, Qibin Hou et al. profile →
  2. Mish: A Self Regularized Non-Monotonic Neural Activation Function
    2019 317 citations Diganta Misra arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diganta Misra India 4 552 187 128 99 86 8 958
Zhanghan Ke Hong Kong 6 542 1.0× 206 1.1× 140 1.1× 86 0.9× 89 1.0× 10 858
Nadia Kanwal United Kingdom 14 693 1.3× 183 1.0× 87 0.7× 165 1.7× 83 1.0× 56 1.3k
Asra Aslam Ireland 6 489 0.9× 154 0.8× 77 0.6× 72 0.7× 87 1.0× 16 836
Lingxiao Yang China 9 854 1.5× 178 1.0× 160 1.3× 104 1.1× 96 1.1× 23 1.2k
Guanglu Song China 9 775 1.4× 246 1.3× 118 0.9× 142 1.4× 85 1.0× 22 1.1k
Xiongwei Wu China 12 646 1.2× 291 1.6× 126 1.0× 141 1.4× 88 1.0× 23 1.3k
Qijie Zhao China 13 988 1.8× 259 1.4× 179 1.4× 159 1.6× 137 1.6× 56 1.3k
Shoubhik Debnath United States 5 320 0.6× 147 0.8× 80 0.6× 60 0.6× 58 0.7× 9 699

Countries citing papers authored by Diganta Misra

Since Specialization
Citations

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

Fields of papers citing papers by Diganta Misra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diganta Misra

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

All Works

8 of 8 papers shown
1.
Misra, Diganta, et al.. (2024). Uncovering the Hidden Cost of Model Compression. 1611–1621.
2.
Grould, Marion, et al.. (2022). Application of deep-learning based techniques for automatic metrology on scanning and transmission electron microscopy images. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 40(5). 3 indexed citations
3.
Misra, Diganta, et al.. (2021). Rotate to Attend: Convolutional Triplet Attention Module. 3138–3147. 626 indexed citations breakdown →
4.
Misra, Diganta. (2019). Mish: A Self Regularized Non-Monotonic Neural Activation Function. arXiv (Cornell University). 317 indexed citations breakdown →
5.
Misra, Diganta. (2019). Mish: A Self Regularized Non-Monotonic Activation Function. arXiv (Cornell University). 9 indexed citations
6.
7.
Singh, V. P., et al.. (1989). COMPOSITION OF FUNCTIONS WITH CLOSED GRAPHS AND ITS FUNCTION SPACES. East Asian Mathematical Journal. 5(2). 151–154. 1 indexed citations
8.
Misra, Diganta, et al.. (1971). A generalization of $K$-compact spaces. Czechoslovak Mathematical Journal. 21(4). 625–632. 2 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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