Prabhat Ranjan

971 citations
77 papers · 599 · h-index 13

Impact in

Papers in

Prabhat Ranjan

72 papers receiving 523 citations

Peers

Prabhat Ranjan
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 208
  • Media Technology 83
  • Computer Networks and Communications 184
  • Computer Graphics and Computer-Aided Design 24
  • Artificial Intelligence 113
Replace Xiaohu Yan with:
Xiaohu Yan China
Seunghun Jin South Korea
Sumit Gupta India
Yao Lu China
Anlong Ming China
A.P. Ambler United Kingdom
Chi‐Chia Sun Taiwan
Nicolás Guil Spain
Ziyi Zhang China
Bruce G. Batchelor United Kingdom
Prabhat Ranjan relative to Xiaohu Yan China Xiaohu Yan's profile →
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Citations per year

Countries citing papers authored by Prabhat Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Prabhat Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201095
2 201747
3 200938
4 200835
5 200830
6 200829
7
HANDWRITTEN NUMERAL/MIXED NUMERALS RECOGNITION OF SOUTH-INDIAN SCRIPTS: THE ZONE- BASED FEATURE EXTRACTION METHOD
200921
8 200920
9 201916
10 200816
11
EFFICIENT ZONE BASED FEATURE EXTRATION ALGORITHM FOR HANDWRITTEN NUMERAL RECOGNITION OF FOUR POPULAR SOUTH INDIAN SCRIPTS
200816
12 200916
13 201115
14 201111
15 201310
16 200910
17 201110
18 20129
19 20199
20 20107

About Prabhat Ranjan

Prabhat Ranjan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 77 papers that have together received 599 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (29 papers), Energy Harvesting in Wireless Networks (11 papers), Vehicle License Plate Recognition (8 papers), Mobile Ad Hoc Networks (8 papers), IoT-based Smart Home Systems (7 papers), Handwritten Text Recognition Techniques (7 papers), Multi-Agent Systems and Negotiation (6 papers) and Wireless Networks and Protocols (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (208 citations), Media Technology (83 citations), Computer Networks and Communications (184 citations), Computer Graphics and Computer-Aided Design (24 citations) and Artificial Intelligence (113 citations). Prabhat Ranjan has collaborated with scholars based in India, China and United States. Frequent co-authors include Ching‐Hsing Luo, Tamal K. Dey, Jainath Yadav, Y. Wang, A. Vijayalakshmi, Rakesh Kumar Lenka, R. Vidhya, Anil Misra, Gang Xiong and Bin Hu. Their work appears in journals such as Indian Journal of Science and Technology, IEEE Access, Computer Graphics Forum, Applied Acoustics and Journal of Computer Science.

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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