Aditya Gupta

701 total citations
37 papers, 415 citations indexed

About

Aditya Gupta is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Aditya Gupta has authored 37 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Civil and Structural Engineering. Recurrent topics in Aditya Gupta's work include Water Systems and Optimization (10 papers), Water Quality Monitoring Technologies (6 papers) and IoT-based Smart Home Systems (5 papers). Aditya Gupta is often cited by papers focused on Water Systems and Optimization (10 papers), Water Quality Monitoring Technologies (6 papers) and IoT-based Smart Home Systems (5 papers). Aditya Gupta collaborates with scholars based in India, Norway and United States. Aditya Gupta's co-authors include Kishore Kulat, Neeraj Dhanraj Bokde, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mohammad Farukh Hashmi, Andrés Feijóo, Morten Goodwin, Prabal Verma, Harsh Agrawal, Prabhat K. Singh and Rajesh Doriya and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.

In The Last Decade

Aditya Gupta

32 papers receiving 405 citations

Peers

Aditya Gupta
Dan Koo United States
J. Romera Spain
Calvin Siew United Kingdom
Aditya Gupta
Citations per year, relative to Aditya Gupta Aditya Gupta (= 1×) peers Marios Kyriakou

Countries citing papers authored by Aditya Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Gupta. A scholar is included among the top collaborators of Aditya 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 Aditya Gupta. Aditya 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.
Goodwin, Morten, et al.. (2025). A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking. ArXiv.org. 170–179. 3 indexed citations
2.
Hashmi, Mohammad Farukh, et al.. (2024). Innovative Insights: A Review of Deep Learning Methods for Enhanced Video Compression. IEEE Access. 12. 125706–125725.
3.
Gupta, Aditya, et al.. (2024). An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection. Applied Sciences. 14(11). 4722–4722. 5 indexed citations
5.
Gupta, Aditya. (2024). ARTIFICIAL INTELLIGENCE (AI) AND DIRECTORIAL DECISION MAKING. 6(1). 80–89. 2 indexed citations
6.
Gupta, Aditya, et al.. (2024). PCB Defect Detection Using Deep Learning Methods. 1–7. 2 indexed citations
7.
Naware, V., et al.. (2024). Smart Street Light System using Wi-SUN and oneM2M. 1–4. 2 indexed citations
8.
Hashmi, Mohammad Farukh, et al.. (2024). Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving. IEEE Access. 12. 173936–173980. 15 indexed citations
9.
Hashmi, Mohammad Farukh, et al.. (2024). EIoU-distance loss: an automated team-wise player detection and tracking with jersey colour recognition in soccer. Connection Science. 36(1). 5 indexed citations
10.
Doriya, Rajesh, et al.. (2023). IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities. IEEE Access. 11. 104930–104945. 6 indexed citations
12.
Gupta, Aditya, et al.. (2022). Hierarchical Object Detection applied to Fish Species. Duo Research Archive (University of Oslo). 2(1). 3 indexed citations
13.
Gupta, Aditya, et al.. (2020). Smart Water Technology for Efficient Water Resource Management: A Review. Energies. 13(23). 6268–6268. 76 indexed citations
14.
Gupta, Aditya, et al.. (2018). A Novel approach for Video based Fire Detection system using Spatial and Texture analysis. Indian Journal of Science and Technology. 11(19). 1–17. 1 indexed citations
15.
Gupta, Aditya & Kishore Kulat. (2018). A Selective Literature Review on Leak Management Techniques for Water Distribution System. Water Resources Management. 32(10). 3247–3269. 105 indexed citations
16.
Gupta, Aditya & Kishore Kulat. (2018). Leakage reduction in water distribution system using efficient pressure management techniques. Case study: Nagpur, India. Water Science & Technology Water Supply. 18(6). 2015–2027. 16 indexed citations
19.
Agrawal, Dharma P., et al.. (2008). Wireless Sensor Networks (WSNs): Routing. 1 indexed citations
20.
Agrawal, Dharma P., et al.. (2008). Wireless Sensor Networks (WSNs): Characteristics and Types of Sensors.. 1 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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