Anjan Kumar Ray

612 citations
62 papers · 478 · h-index 13

Impact in

Papers in

Anjan Kumar Ray

59 papers receiving 459 citations

Peers

Anjan Kumar Ray
Comparison fields: 5 of 64
  • Computer Networks and Communications 177
  • Control and Systems Engineering 164
  • Computer Vision and Pattern Recognition 95
  • Hardware and Architecture 26
  • Information Systems 81
Replace Saleh Zein-Sabatto with:
Saleh Zein-Sabatto United States
Florian Zeiger Germany
Tobias Kaupp Australia
Sebastian Zug Germany
Frederico Santos Portugal
Yuming Ge China
Zhiyang Ju China
Max Mauro Dias Santos Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Anjan Kumar Ray

Since Specialization
Citations

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

Fields of papers citing papers by Anjan Kumar Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anjan Kumar Ray. 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 Anjan Kumar Ray. The network helps show where Anjan Kumar Ray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202135
2 199532
3 201530
4 201923
5 200823
6 200821
7 201821
8 200921
9
ON-LINE POWER PLANT SIGNAL VALIDATION TECHNIQUE UTILIZING PARITY-SPACE REPRESENTATION AND ANALYTIC REDUNDANCY.
198120
10 202018
11 201715
12 200913
13 200813
14 201812
15 200811
16 201810
17 20219
18 20188
19 20128
20 20187

About Anjan Kumar Ray

Anjan Kumar Ray is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 62 papers that have together received 478 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (15 papers), Distributed Control Multi-Agent Systems (9 papers), Robotics and Sensor-Based Localization (9 papers), Distributed and Parallel Computing Systems (8 papers), Cloud Computing and Resource Management (7 papers), Microgrid Control and Optimization (6 papers), Frequency Control in Power Systems (6 papers) and Photovoltaic System Optimization Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (177 citations), Control and Systems Engineering (164 citations), Computer Vision and Pattern Recognition (95 citations), Hardware and Architecture (26 citations) and Information Systems (81 citations). Anjan Kumar Ray has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Pratyay Kuila, Mo Jamshidi, Laxmidhar Behera, R.M. Edwards, Md. Nurujjaman, Patrick Benavidez, Indra Narayan Kar, T.M. McGinnity, Sonya Coleman and Meenakshi Gupta. Their work appears in journals such as IEEE Systems Journal, Engineering With Computers, International Journal on Interactive Design and Manufacturing (IJIDeM), Electronics and Soft Computing.

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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