Arun Sood

1.2k citations
85 papers · 796 · h-index 16

Impact in

Papers in

Arun Sood

78 papers receiving 724 citations

Peers

Arun Sood
Comparison fields: 5 of 101
  • Computer Networks and Communications 286
  • Computer Vision and Pattern Recognition 225
  • Signal Processing 95
  • Information Systems 158
  • Hardware and Architecture 37
Replace Len Hamey with:
Len Hamey Australia
Shaiful Jahari Hashim Malaysia
Lee United States
Dongkyoo Shin South Korea
Tao Huang China
Yau-Hwang Kuo Taiwan
Sangwook Kim South Korea
M.R. Ito Canada
Hyun Kwon South Korea
Rashmi Gupta India
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Citations per field
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Citations per year

Countries citing papers authored by Arun Sood

Since Specialization
Citations

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

Fields of papers citing papers by Arun Sood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 201265
3 199052
4 198542
5 198539
6 200938
7 198636
8 198626
9 200623
10 200722
11 200622
12 200621
13 200520
14 201018
15 200417
16
Quantitative Approach to Tuning of a Time-Based Intrusion-Tolerant System Architecture
200916
17 199215
18 201112
19 200611
20 20069

About Arun Sood

Arun Sood is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture and Electrical and Electronic Engineering, having authored 85 papers that have together received 796 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (14 papers), Network Security and Intrusion Detection (10 papers), Peer-to-Peer Network Technologies (7 papers), Network Traffic and Congestion Control (7 papers), Interconnection Networks and Systems (7 papers), Parallel Computing and Optimization Techniques (6 papers), Medical Image Segmentation Techniques (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Computer Networks and Communications (286 citations), Computer Vision and Pattern Recognition (225 citations), Signal Processing (95 citations), Information Systems (158 citations) and Hardware and Architecture (37 citations). Arun Sood has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Yih Huang, P. Mundur, Naeim A. Henein, Jan M. Allbeck, Seshadri Mohan, Mubarak Shah, Ramesh Jain, Charles P. Neuman, Margaret Mitchell and Alexander Mensch. Their work appears in journals such as IEEE Micro, IEEE Transactions on Industrial Electronics, IEEE Transactions on Automatic Control, Parallel Computing and IEEE Industrial Electronics Magazine.

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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