Indra Gupta

1.4k total citations
37 papers, 1.1k citations indexed

About

Indra Gupta is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Indra Gupta has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Electrical and Electronic Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Indra Gupta's work include Brain Tumor Detection and Classification (7 papers), Chaos-based Image/Signal Encryption (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Indra Gupta is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Chaos-based Image/Signal Encryption (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Indra Gupta collaborates with scholars based in India and Canada. Indra Gupta's 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 and has published in prestigious journals such as IEEE Transactions on Power Delivery, Applied Soft Computing and Engineering Applications of Artificial Intelligence.

In The Last Decade

Indra Gupta

36 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indra Gupta India 17 510 348 255 224 217 37 1.1k
P.D. Sathya India 16 523 1.0× 79 0.2× 236 0.9× 266 1.2× 64 0.3× 52 996
Ahmed S. Salama Egypt 13 288 0.6× 251 0.7× 40 0.2× 269 1.2× 57 0.3× 76 794
Lianfang Tian China 17 449 0.9× 43 0.1× 96 0.4× 171 0.8× 277 1.3× 119 1.1k
V. Sadasivam India 14 227 0.4× 39 0.1× 173 0.7× 179 0.8× 149 0.7× 53 628
S. Manimurugan Saudi Arabia 17 233 0.5× 140 0.4× 117 0.5× 395 1.8× 72 0.3× 58 966
Gwang-Hoon Park South Korea 3 254 0.5× 41 0.1× 173 0.7× 603 2.7× 125 0.6× 4 841
Mohammed Yakoob Siyal Singapore 15 657 1.3× 43 0.1× 107 0.4× 128 0.6× 49 0.2× 76 974
Shanlin Sun China 10 228 0.4× 51 0.1× 92 0.4× 172 0.8× 266 1.2× 47 736
Qian Jiang China 20 744 1.5× 34 0.1× 148 0.6× 221 1.0× 64 0.3× 95 1.5k
Erkan Tanyıldızı Türkiye 9 125 0.2× 40 0.1× 78 0.3× 233 1.0× 77 0.4× 34 536

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-authorship network of co-authors of Indra Gupta

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

All Works

20 of 20 papers shown
1.
Sachdeva, Jainy, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, & Chirag Ahuja. (2016). A package-SFERCB-“Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors”. Applied Soft Computing. 47. 151–167. 103 indexed citations
2.
Goel, Nidhi, Balasubramanian Raman, & Indra Gupta. (2014). Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems. Advances in Multimedia. 2014. 1–10. 13 indexed citations
3.
Singh, Krishna P., Indra Gupta, & Sangeeta Gupta. (2013). Classification of Bamboo Species by Fourier and Legendre Moment. International Journal of Advanced Science and Technology. 50. 61–70. 12 indexed citations
4.
Sachdeva, Jainy, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, & Chirag Ahuja. (2013). Segmentation, Feature Extraction, and Multiclass Brain Tumor Classification. Journal of Digital Imaging. 26(6). 1141–1150. 160 indexed citations
5.
Sachdeva, Jainy, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, & Chirag Ahuja. (2012). Hybrid model for 2-D rigid multimodal registration of brain images. 20(2). 67–90. 1 indexed citations
6.
Sachdeva, Jainy, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, & Chirag Ahuja. (2012). A novel content-based active contour model for brain tumor segmentation. Magnetic Resonance Imaging. 30(5). 694–715. 94 indexed citations
7.
Bhatnagar, Gaurav, et al.. (2012). Joint watermarking and encryption for still visual data. Multimedia Tools and Applications. 67(3). 593–606. 8 indexed citations
8.
Sachdeva, Jainy, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, & Chirag Ahuja. (2012). A dual neural network ensemble approach for multiclass brain tumor classification. International Journal for Numerical Methods in Biomedical Engineering. 28(11). 1107–1120. 20 indexed citations
9.
Agarwal, Pramod, et al.. (2011). Auto-tuned, discrete PID controller for DC-DC converter for fast transient response. 1–7. 28 indexed citations
10.
Sachdeva, Jainy, Vinod Kumar, Indra Gupta, Niranjan Khandelwal, & Chirag Ahuja. (2011). Multiclass Brain Tumor Classification Using GA-SVM. 182–187. 37 indexed citations
11.
Raman, Balasubramanian, et al.. (2011). CHAOS BASED PARTIAL ENCRYPTION OF SPIHT COMPRESSED IMAGES. International Journal of Wavelets Multiresolution and Information Processing. 9(2). 317–331. 22 indexed citations
12.
Singh, Krishna P., Indra Gupta, & Sangeeta Gupta. (2011). Classification of bamboo plant based on digital image processing by Central moment. 1–5. 2 indexed citations
13.
Jain, Varun, G. N. Pillai, & Indra Gupta. (2011). Fault diagnosis in analog circuits using multiclass Relevance Vector Machine. 13. 641–643. 2 indexed citations
14.
Agarwal, Pramod, et al.. (2010). Design, modeling and simulation of point of load converter (niPOL). International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology. 1206–1210. 1 indexed citations
15.
Singh, Krishna P., Indra Gupta, & Sangeeta Gupta. (2010). Comparison of Pnn-Pca with Svm-Bdt and Moment Based Techniques for Leaf Shape Recognition and Classification.. IPCV. 726–732. 5 indexed citations
16.
Kumar, Vishal, et al.. (2009). DG Integrated Approach for Service Restoration Under Cold Load Pickup. IEEE Transactions on Power Delivery. 25(1). 398–406. 121 indexed citations
17.
Gupta, Indra, et al.. (2008). Inferential Control of a Distillation Column Using an Online Estimator. Chemical Product and Process Modeling. 3(1). 2 indexed citations
18.
Gupta, Indra, et al.. (2008). A Robust Image Encryption Technique Based on Random Vector. 9. 15–19. 8 indexed citations
19.
Kumar, Vishal, Indra Gupta, & Hari Om Gupta. (2006). An Overview of Cold Load Pickup Issues in Distribution Systems. Electric Power Components and Systems. 34(6). 639–651. 21 indexed citations
20.
Singh, Vijander, Indra Gupta, & H.O. Gupta. (2004). ANN based estimator for distillation—inferential control. Chemical Engineering and Processing - Process Intensification. 44(7). 785–795. 27 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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