Nookala Venu

474 citations
69 papers · 130 · h-index 6

Impact in

Papers in

Nookala Venu

46 papers receiving 121 citations

Peers

Nookala Venu
Comparison fields: 5 of 42
  • Artificial Intelligence 21
  • Computer Vision and Pattern Recognition 13
  • Electrical and Electronic Engineering 36
  • Computer Networks and Communications 13
  • Management Science and Operations Research 7
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Tracy Wotherspoon United Kingdom
Jiajun Zheng China
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Shahin Atakishiyev Canada
Apurv Verma India
Huiwen Jia China
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Yuwei Wan China
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Citations per field
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Citations per year

Countries citing papers authored by Nookala Venu

Since Specialization
Citations

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

Fields of papers citing papers by Nookala Venu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nookala Venu, 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 Nookala Venu Line = papers co-authored together Nookala Venu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202223
2 202216
3 20136
4 20245
5 20225
6 20155
7 20144
8 20244
9 20234
10 20163
11 20233
12 20253
13 20242
14 20242
15 20242
16 20242
17 20242
18 20242
19 20242
20 20252

About Nookala Venu

Nookala Venu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 69 papers that have together received 130 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (17 papers), Medical Image Segmentation Techniques (7 papers), Cooperative Communication and Network Coding (7 papers), Advanced Wireless Communication Techniques (6 papers), Optical Wireless Communication Technologies (5 papers), Wireless Communication Security Techniques (4 papers), Wireless Body Area Networks (4 papers) and Telecommunications and Broadcasting Technologies (4 papers). The work is most often cited by research in Artificial Intelligence (21 citations), Computer Vision and Pattern Recognition (13 citations), Electrical and Electronic Engineering (36 citations), Computer Networks and Communications (13 citations) and Management Science and Operations Research (7 citations). Nookala Venu has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include B. Anuradha, Deepak Upadhyay, Abhay Upadhyay, Mridul Gupta, S. Hemalatha, P. Madhu, Sameh M. Osman, Rotti Srinivasamurthy Swathi, Alagar Karthick and A. V. L. N. Sujith. Their work appears in journals such as Wireless Communications and Mobile Computing, Indian Journal of Science and Technology, International Journal of Communication Systems, Journal of Nanomaterials and Measurement Sensors.

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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