S. Indu

1.9k total citations
137 papers, 1.1k citations indexed

About

S. Indu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, S. Indu has authored 137 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 31 papers in Computer Networks and Communications and 24 papers in Artificial Intelligence. Recurrent topics in S. Indu's work include Handwritten Text Recognition Techniques (16 papers), Energy Efficient Wireless Sensor Networks (15 papers) and Video Surveillance and Tracking Methods (12 papers). S. Indu is often cited by papers focused on Handwritten Text Recognition Techniques (16 papers), Energy Efficient Wireless Sensor Networks (15 papers) and Video Surveillance and Tracking Methods (12 papers). S. Indu collaborates with scholars based in India, United States and Czechia. S. Indu's co-authors include Daya Gupta, Veerasamy Sejian, S. M. K. Naqvi, Santanu Chaudhury, Chhavi Dhiman, Divyashikha Sethia, Manjari Gupta, Lava Bhargava, Rajeshwari Pandey and Neeta Pandey and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

In The Last Decade

S. Indu

124 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Indu India 20 316 277 198 154 101 137 1.1k
Md. Al Mehedi Hasan Bangladesh 23 476 1.5× 216 0.8× 64 0.3× 379 2.5× 63 0.6× 139 2.0k
Gourab Sen Gupta New Zealand 21 371 1.2× 342 1.2× 485 2.4× 91 0.6× 9 0.1× 133 1.3k
Habib Ullah Pakistan 16 526 1.7× 129 0.5× 61 0.3× 336 2.2× 11 0.1× 96 1.1k
Shijia Pan United States 22 540 1.7× 151 0.5× 603 3.0× 201 1.3× 15 0.1× 121 1.5k
Rini Akmeliawati Malaysia 19 224 0.7× 52 0.2× 192 1.0× 168 1.1× 20 0.2× 162 1.3k
Alwin Poulose South Korea 20 329 1.0× 122 0.4× 672 3.4× 237 1.5× 14 0.1× 53 1.4k
Medhat Moussa Canada 15 172 0.5× 60 0.2× 125 0.6× 225 1.5× 9 0.1× 67 1.1k
Cláudio Fabiano Motta Toledo Brazil 19 303 1.0× 162 0.6× 37 0.2× 248 1.6× 18 0.2× 94 1.2k
Lifeng Liu China 12 284 0.9× 53 0.2× 63 0.3× 108 0.7× 19 0.2× 45 579
Mourad Zaied Tunisia 24 996 3.2× 199 0.7× 198 1.0× 441 2.9× 11 0.1× 135 1.6k

Countries citing papers authored by S. Indu

Since Specialization
Citations

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

Fields of papers citing papers by S. Indu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Indu

This figure shows the co-authorship network connecting the top 25 collaborators of S. Indu. A scholar is included among the top collaborators of S. Indu 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 S. Indu. S. Indu 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.
Goel, Nidhi, et al.. (2024). AI-KODA score application for cleanliness assessment in video capsule endoscopy frames. Minimally Invasive Therapy & Allied Technologies. 33(5). 311–320.
2.
Goel, Nidhi, et al.. (2024). Comprehensive evaluation of a new automatic scoring system for cleanliness assessment in video capsule endoscopy. International Journal of Imaging Systems and Technology. 34(3). 2 indexed citations
3.
Dhiman, Chhavi, et al.. (2024). Predicting pedestrian intentions with multimodal IntentFormer: A Co-learning approach. Pattern Recognition. 161. 111205–111205. 4 indexed citations
4.
Dhiman, Chhavi, et al.. (2024). Progressive Contextual Trajectory Prediction With Adaptive Gating and Fuzzy Logic Integration. IEEE Transactions on Intelligent Vehicles. 9(11). 6960–6970. 2 indexed citations
5.
Sethia, Divyashikha, et al.. (2024). Optimization of Wearable Biosensor Data for Stress Classification Using Machine Learning and Explainable AI. IEEE Access. 12. 169310–169327. 10 indexed citations
6.
Indu, S., et al.. (2023). Localization and Detection of Multiple Attacks in Wireless Sensor Networks Using Artificial Neural Network. Wireless Communications and Mobile Computing. 2023. 1–29. 24 indexed citations
7.
8.
Indu, S., et al.. (2023). Blockchain-Based Secure Localization against Malicious Nodes in IoT-Based Wireless Sensor Networks Using Federated Learning. Wireless Communications and Mobile Computing. 2023. 1–27. 32 indexed citations
9.
Dhiman, Chhavi, et al.. (2023). Visual–Motion–Interaction-Guided Pedestrian Intention Prediction Framework. IEEE Sensors Journal. 23(22). 27540–27548. 10 indexed citations
10.
Indu, S., et al.. (2023). Word spotting and character recognition of handwritten Hindi scripts by Integral Histogram of Oriented Displacement (IHOD) descriptor. Multimedia Tools and Applications. 83(1). 1379–1406. 5 indexed citations
11.
Dhiman, Chhavi, et al.. (2022). Pedestrian Intention Prediction for Autonomous Vehicles: A Comprehensive Survey. Neurocomputing. 508. 120–152. 45 indexed citations
12.
Indu, S., et al.. (2022). Historical manuscript dating: traditional and current trends. Multimedia Tools and Applications. 81(22). 31573–31602. 7 indexed citations
13.
Indu, S., et al.. (2022). Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review. Electronics. 11(10). 1545–1545. 21 indexed citations
14.
Indu, S., et al.. (2022). A Deep Unified Pedestrian Detection Framework. 2022 IEEE Delhi Section Conference (DELCON). 1–6. 1 indexed citations
15.
Indu, S., et al.. (2021). An Efficient Multistage Fusion Approach for Smartphone Security Analysis. Defence Science Journal. 71(4). 476–490. 1 indexed citations
16.
Indu, S., et al.. (2016). Comparison of image matching techniques. International Journal of Latest Trends in Engineering and Technology. 7(3). 17 indexed citations
17.
Indu, S., et al.. (2016). Optimized sentiment analysis tool: A sentiment analysis tool to study cognitive inclinations. International Conference on Computing for Sustainable Global Development. 2589–2592.
18.
19.
Indu, S., et al.. (2007). Session IV.C: Image Processing A Noise Fading Technique for Images Highly Corrupted with Impulse Noise.. 627–632. 2 indexed citations
20.
Indu, S., et al.. (2007). A Noise Fading Technique for Images Highly Corrupted with Impulse Noise. 627–632. 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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