Diganta Misra

2.5k citations
8 papers · 958 · 2 hit papers · h-index 4

Impact in

Papers in

Diganta Misra

5 papers receiving 937 citations

Diganta Misra's Hit Papers

Rotate to Attend: Convolutional Triplet Attention Module 2021 · 626 citations
6260+2+4Years since publication200400600

Peers

Diganta Misra
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 552
  • Media Technology 128
  • Industrial and Manufacturing Engineering 86
  • Artificial Intelligence 187
  • Aerospace Engineering 99
Replace Zhanghan Ke with:
Zhanghan Ke Hong Kong
Guanglu Song China
Xiongwei Wu China
Di Lin China
Weiqing Yan China
Shilong Liu China
Yiquan Wu China
Zhuofan Xia China
Diganta Misra relative to Zhanghan Ke Hong Kong Zhanghan Ke's profile →
Citations per field
00.5×7.9×
Zhanghan Ke · 1×
Citations per year

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-authors

The 8 scholars most cited alongside Diganta Misra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Diganta Misra Line = papers co-authored together Diganta Misra links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Rotate to Attend: Convolutional Triplet Attention Module
Hit paper breakdown →
2021626
2
Mish: A Self Regularized Non-Monotonic Neural Activation Function
Hit paper breakdown →
2019317
3 20199
4 20223
5 19712
6
COMPOSITION OF FUNCTIONS WITH CLOSED GRAPHS AND ITS FUNCTION SPACES
19891
7 20240
8 20180

About Diganta Misra

Diganta Misra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mathematical Physics, Geometry and Topology and Computational Theory and Mathematics, having authored 8 papers that have together received 958 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Electron and X-Ray Spectroscopy Techniques (1 paper), Image Processing Techniques and Applications (1 paper), Multimodal Machine Learning Applications (1 paper), Neural Networks and Applications (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Graph Labeling and Dimension Problems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (552 citations), Media Technology (128 citations), Industrial and Manufacturing Engineering (86 citations), Artificial Intelligence (187 citations) and Aerospace Engineering (99 citations). Diganta Misra has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Qibin Hou, Nisha Gupta, Clément Nicolas, Marion Grould, Vijay Kumar Verma, J. Foucher, V. P. Singh and Bhargav Appasani. Their work appears in journals such as Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Czechoslovak Mathematical Journal, East Asian Mathematical Journal and arXiv (Cornell University).

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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