S. Murugan

109 papers receiving 2.5k citations

Peers

S. Murugan
Comparison fields: 5 of 143
  • Molecular Medicine 415
  • Applied Microbiology and Biotechnology 128
  • Pollution 451
  • Endocrinology 108
  • Computer Networks and Communications 238
Replace Md Mizanur Rahman with:
Md Mizanur Rahman Bangladesh
Yu‐Feng Lin United States
Ihsan Ali Pakistan
S. Selvakumar India
Huimin Qian China
Li Zhang China
Akira Fukuda Japan
Xuebin Xu China
Kaiyu Zhang China
S. Murugan relative to Md Mizanur Rahman Bangladesh Md Mizanur Rahman's profile →
Citations per field
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Md Mizanur Rahman · 1×
Citations per year

Countries citing papers authored by S. Murugan

Since Specialization
Citations

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

Fields of papers citing papers by S. Murugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201792
2 201185
3 201180
4 202075
5 202157
6 201557
7 202355
8 201654
9 201854
10 201654
11 201445
12 202345
13 202344
14 202441
15 202340
16 202340
17 202340
18 202338
19 202337
20 202337

About S. Murugan

S. Murugan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Medicine, Pollution and Information Systems, having authored 130 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers), IoT-based Smart Home Systems (9 papers), IoT and Edge/Fog Computing (8 papers), Quantum Dots Synthesis And Properties (8 papers), Advanced Photocatalysis Techniques (6 papers), Traffic Prediction and Management Techniques (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Molecular Medicine (415 citations), Applied Microbiology and Biotechnology (128 citations), Pollution (451 citations), Endocrinology (108 citations) and Computer Networks and Communications (238 citations). S. Murugan has collaborated with scholars based in India, United States and Tanzania. Frequent co-authors include Douglas R. Call, Ramakrishnan Raman, M. Ashokkumar, Shannon M. Mitchell, Jeffrey L. Ullman, Louise Matthews, M. Rajmohan, Beatus Lyimo, H. Azath and Devendra H. Shah. Their work appears in journals such as Materials Science and Engineering B, Journal of Food Protection, Applied and Environmental Microbiology, BMC Infectious Diseases and PLoS ONE.

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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