Indra Gupta

1.4k citations
37 papers · 1.1k · h-index 17

Impact in

  • Neurology top 2%
    • Brain Tumor Detection and Classification
    • Advanced Neural Network Applications
    • Chaos-based Image/Signal Encryption
    • Medical Image Segmentation Techniques
    • Advanced Steganography and Watermarking Techniques

Papers in

Indra Gupta

36 papers receiving 999 citations

Peers

Indra Gupta
Comparison fields: 5 of 106
  • Neurology 348
  • Computer Vision and Pattern Recognition 510
  • Control and Systems Engineering 217
  • Artificial Intelligence 224
  • Urban Studies 29
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Citations per field
00.5×10×17×
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Citations per year

Countries citing papers authored by Indra Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Indra Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Indra Gupta, 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 Indra Gupta Line = papers co-authored together Indra Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013160
2 2009121
3 2006104
4 2016103
5 201294
6 201174
7 201059
8 201138
9 201137
10 201128
11 200427
12 201122
13 201022
14 200621
15 201220
16 200518
17 200917
18 201314
19 201413
20
Classification of Bamboo Species by Fourier and Legendre Moment
201312

About Indra Gupta

Indra Gupta is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering, Neurology and Artificial Intelligence, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (7 papers), Chaos-based Image/Signal Encryption (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Advanced DC-DC Converters (6 papers), Multilevel Inverters and Converters (5 papers), Medical Image Segmentation Techniques (5 papers), Advanced Control Systems Optimization (4 papers) and Advanced Control Systems Design (4 papers). The work is most often cited by research in Neurology (348 citations), Computer Vision and Pattern Recognition (510 citations), Control and Systems Engineering (217 citations), Artificial Intelligence (224 citations) and Urban Studies (29 citations). Indra Gupta has collaborated with scholars based in India and Canada. Frequent co-authors include Chirag Ahuja, Niranjan Khandelwal, Jainy Sachdeva, Vinod Kumar, H.O. Gupta, Balasubramanian Raman, Vijander Singh, Vishal Kumar, Pramod Agarwal and Hari Om Gupta. Their work appears in journals such as Multimedia Tools and Applications, Chemical Engineering and Processing - Process Intensification, Journal of Digital Imaging, Engineering Applications of Artificial Intelligence and International Journal for Numerical Methods in Biomedical Engineering.

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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