Premkumar Chithaluru

1.2k citations
55 papers · 733 · h-index 16

Impact in

Papers in

Premkumar Chithaluru

50 papers receiving 710 citations

Peers

Premkumar Chithaluru
Comparison fields: 5 of 72
  • Computer Networks and Communications 472
  • Electrical and Electronic Engineering 342
  • Information Systems 131
  • Media Technology 32
  • Signal Processing 39
Replace Zhenguo Gao with:
Zhenguo Gao China
Farruh Ishmanov South Korea
Abbas Bradai France
Pratik Goswami China
Marc Barceló Spain
Alireza Ghasempour United States
Prasenjit Chanak India
Shuja Ansari United Kingdom
Rami Ahmad Saudi Arabia
Ning Ye China
Premkumar Chithaluru relative to Zhenguo Gao China Zhenguo Gao's profile →
Citations per field
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Zhenguo Gao · 1×
Citations per year

Countries citing papers authored by Premkumar Chithaluru

Since Specialization
Citations

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

Fields of papers citing papers by Premkumar Chithaluru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 201970
3 202142
4 202239
5 202138
6 202234
7 202132
8 202328
9 202328
10 202328
11 202028
12 202323
13 202320
14 201918
15 202216
16 201915
17 202211
18 202011
19 202310
20 201810

About Premkumar Chithaluru

Premkumar Chithaluru is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Computer Vision and Pattern Recognition and Water Science and Technology, having authored 55 papers that have together received 733 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (18 papers), IoT and Edge/Fog Computing (16 papers), Energy Harvesting in Wireless Networks (10 papers), Blockchain Technology Applications and Security (7 papers), Mobile Ad Hoc Networks (7 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Hydrology and Sediment Transport Processes (4 papers) and Hydrological Forecasting Using AI (4 papers). The work is most often cited by research in Computer Networks and Communications (472 citations), Electrical and Electronic Engineering (342 citations), Information Systems (131 citations), Media Technology (32 citations) and Signal Processing (39 citations). Premkumar Chithaluru has collaborated with scholars based in India, United Arab Emirates and Saudi Arabia. Frequent co-authors include Manoj Kumar, Thompson Stephan, Fadi Al‐Turjman, Rajeev Tiwari, Kamal Kumar, Aman Singh, Sunil Kumar, Abderrahim Benslimane, Arvind Yadav and Anand Nayyar. Their work appears in journals such as Water, Sustainable Cities and Society, IEEE Internet of Things Journal, Scientific Reports and Multimedia Tools and Applications.

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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