Harsh Agarwal

529 citations
22 papers · 307 · h-index 10

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 3
    • Advanced Neural Network Applications 3
    • Image Retrieval and Classification Techniques 2
    • Medical Image Segmentation Techniques 2
    • Video Surveillance and Tracking Methods 2
    • Vehicle License Plate Recognition 2

Harsh Agarwal

21 papers receiving 288 citations

Peers

Harsh Agarwal
Comparison fields: 5 of 79
  • Human-Computer Interaction 32
  • Computer Vision and Pattern Recognition 107
  • Acoustics and Ultrasonics 2
  • Occupational Therapy 8
  • Artificial Intelligence 53
Replace Syed Tufael Nabi with:
Syed Tufael Nabi India
Samer Al-Ashhab Saudi Arabia
Marco Cascio Italy
Abhishek Thakur India
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Chenyang Li China
Madiha Javeed Pakistan
Shilpa Sethi India
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Veenu Rani India
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Citations per field
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Syed Tufael Nabi · 1×
Citations per year

Countries citing papers authored by Harsh Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Harsh Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Harsh Agarwal, 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 Harsh Agarwal Line = papers co-authored together Harsh Agarwal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201651
2 202348
3 201630
4 202126
5 201522
6 202217
7 202417
8 200816
9 201416
10 202413
11 20207
12 20207
13 20216
14 20236
15 20256
16
Weather prediction using Machine Learning
20205
17 20245
18 20104
19 20202
20 20162

About Harsh Agarwal

Harsh Agarwal is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Signal Processing and Management Science and Operations Research, having authored 22 papers that have together received 307 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Neural Network Applications (3 papers), Image Retrieval and Classification Techniques (2 papers), Vehicle License Plate Recognition (2 papers), Stock Market Forecasting Methods (2 papers), Medical Image Segmentation Techniques (2 papers), Video Surveillance and Tracking Methods (2 papers) and Advanced Algorithms and Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (32 citations), Computer Vision and Pattern Recognition (107 citations), Acoustics and Ultrasonics (2 citations), Occupational Therapy (8 citations) and Artificial Intelligence (53 citations). Harsh Agarwal has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Kartik Narayan, Mayank Vatsa, Kartik Thakral, Richa Singh, Durairajan Rajeswari, Ankur Singh, Yash Jain, Marcelino Bernardo, Peter Choyke and Bradford J. Wood. Their work appears in journals such as Journal of Magnetic Resonance Imaging, IEEE/ASME Transactions on Mechatronics, IEEE Access, Optics Communications and Advances in intelligent systems and computing.

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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