S. Smys

3.1k citations
97 papers · 2.0k · h-index 26

Impact in

Papers in

S. Smys

95 papers receiving 1.7k citations

Peers

S. Smys
Comparison fields: 5 of 120
  • Computer Networks and Communications 940
  • Signal Processing 232
  • Information Systems 463
  • Artificial Intelligence 551
  • Health Information Management 60
Replace Haoxiang Wang with:
Haoxiang Wang United States
Chan Yeob Yeun United Arab Emirates
Fazlullah Khan Pakistan
Rizwan Patan India
Jiehan Zhou Finland
Mian Ahmad Jan Pakistan
Manju Khari India
Omar Cheikhrouhou Tunisia
Gianluca Aloi Italy
Shalli Rani India
S. Smys relative to Haoxiang Wang United States Haoxiang Wang's profile →
Citations per field
00.5×2.7×
Haoxiang Wang · 1×
Citations per year

Countries citing papers authored by S. Smys

Since Specialization
Citations

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

Fields of papers citing papers by S. Smys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020192
2 202078
3 202178
4 201873
5 201868
6 202057
7 202153
8 202151
9 201949
10 201945
11 202143
12 201943
13 202143
14 201639
15 201738
16 202032
17 202132
18 201831
19 202031
20 201929

About S. Smys

S. Smys is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Biomedical Engineering, having authored 97 papers that have together received 2.0k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (21 papers), Mobile Ad Hoc Networks (17 papers), Opportunistic and Delay-Tolerant Networks (16 papers), IoT and Edge/Fog Computing (14 papers), Security in Wireless Sensor Networks (9 papers), Blockchain Technology Applications and Security (7 papers), Cryptography and Data Security (6 papers) and Wireless Body Area Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (940 citations), Signal Processing (232 citations), Information Systems (463 citations), Artificial Intelligence (551 citations) and Health Information Management (60 citations). S. Smys has collaborated with scholars based in India, United States and Czechia. Frequent co-authors include Haoxiang Wang, Jennifer S. Raj, Subarna Shakya, M. D. Anto Praveena, Dinesh Kumar Anguraj, Praveen Kumar R, Abul Bashar, G. Josemin Bala, Robert Bešťák and S. Sridhar. Their work appears in journals such as Wireless Personal Communications, Computers & Electrical Engineering, Mobile Networks and Applications, Soft Computing and National Academy Science Letters.

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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