Prateek Gupta

70 total papers · 1.5k total citations
37 papers, 910 citations indexed

About

Prateek Gupta is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Prateek Gupta has authored 37 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 12 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Prateek Gupta's work include Energy Efficient Wireless Sensor Networks (10 papers), Energy Harvesting in Wireless Networks (5 papers) and IoT-based Smart Home Systems (4 papers). Prateek Gupta is often cited by papers focused on Energy Efficient Wireless Sensor Networks (10 papers), Energy Harvesting in Wireless Networks (5 papers) and IoT-based Smart Home Systems (4 papers). Prateek Gupta collaborates with scholars based in India, United Arab Emirates and Jordan. Prateek Gupta's co-authors include Abhinav Sharma, Vinay Chowdary, Arpit Jain, Vikrant Bhateja, Ajay K. Sharma, Priyanka Srivastava, Manish Kumar, Priyanka Srivastava, Zia Abbas and Manoj Kumar and has published in prestigious journals such as IEEE Access, Soft Computing and Multimedia Tools and Applications.

In The Last Decade

Prateek Gupta

36 papers receiving 848 citations

Hit Papers

Machine Learning Applicat... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Prateek Gupta 401 178 156 144 110 37 910
Yanzhou Li 399 1.0× 94 0.5× 81 0.5× 164 1.1× 151 1.4× 58 981
Dewei Yi 157 0.4× 171 1.0× 98 0.6× 103 0.7× 106 1.0× 31 925
Huarui Wu 628 1.6× 72 0.4× 116 0.7× 105 0.7× 88 0.8× 73 983
Henry Medeiros 339 0.8× 242 1.4× 84 0.5× 151 1.0× 97 0.9× 43 801
Ashish Kumar Tripathi 281 0.7× 168 0.9× 81 0.5× 134 0.9× 43 0.4× 43 960
Zhaohui Jiang 371 0.9× 97 0.5× 60 0.4× 71 0.5× 75 0.7× 49 801
Naveed Iqbal 404 1.0× 36 0.2× 120 0.8× 85 0.6× 176 1.6× 27 828
Mohamed Sadik 197 0.5× 48 0.3× 108 0.7× 156 1.1× 44 0.4× 74 924
Theodore Pachidis 432 1.1× 131 0.7× 52 0.3× 37 0.3× 96 0.9× 51 848
Nahina Islam 375 0.9× 45 0.3× 168 1.1× 194 1.3× 185 1.7× 26 858

Countries citing papers authored by Prateek Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Prateek Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Gupta

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

All Works

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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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