C. Arun

1.1k citations
91 papers · 802 · h-index 16

Impact in

Papers in

C. Arun

83 papers receiving 701 citations

Peers

C. Arun
Comparison fields: 5 of 104
  • Computer Networks and Communications 352
  • Information Systems 307
  • Computer Vision and Pattern Recognition 142
  • Artificial Intelligence 162
  • Signal Processing 47
Replace Jano van Hemert with:
Jano van Hemert United Kingdom
Jianlong Xu China
Phillip C.‐Y. Sheu United States
Ian Robinson United States
Md. Razaul Karim Bangladesh
Hongyu Zhu China
Gansen Zhao China
Xun Wang China
K. Vijayakumar India
C. Arun relative to Jano van Hemert United Kingdom Jano van Hemert's profile →
Citations per field
00.5×1.6×
Jano van Hemert · 1×
Citations per year

Countries citing papers authored by C. Arun

Since Specialization
Citations

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

Fields of papers citing papers by C. Arun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 201755
3 201752
4 201945
5 201844
6 201938
7 201929
8 202127
9 201623
10 200423
11 200418
12 200417
13 200415
14
Agricultural Management using Wireless Sensor Networks - A Survey
201215
15 202115
16 201815
17 201814
18 201414
19 201614
20 202113

About C. Arun

C. Arun is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 91 papers that have together received 802 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (18 papers), IoT and Edge/Fog Computing (15 papers), Chaos-based Image/Signal Encryption (11 papers), Advanced Steganography and Watermarking Techniques (10 papers), Nitric Oxide and Endothelin Effects (8 papers), Digital Media Forensic Detection (8 papers), Caching and Content Delivery (6 papers) and Error Correcting Code Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (352 citations), Information Systems (307 citations), Computer Vision and Pattern Recognition (142 citations), Artificial Intelligence (162 citations) and Signal Processing (47 citations). C. Arun has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include K. Vijayakumar, N.J.M. London, David Hemingway, Sivaramakrishnan Rajaraman, Kenneth J. O’Byrne, M. Decatris, V. Rajamani, Navi Mumbai, R. Gopikakumari and Ganesh Vaidyanathan. Their work appears in journals such as The International Journal of Biological Markers, Microsystem Technologies, Microscopy Research and Technique, Colorectal Disease and Journal of Ambient Intelligence and Humanized 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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