Suriya Murugan

99 papers receiving 1.0k citations

Suriya Murugan's Hit Papers

DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images 2021 · 275 citations
2750+1+3Years since publication50100150200250

Peers

Suriya Murugan
Comparison fields: 5 of 127
  • Neurology 207
  • Health Information Management 82
  • Health Informatics 16
  • Computer Networks and Communications 235
  • Artificial Intelligence 240
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Countries citing papers authored by Suriya Murugan

Since Specialization
Citations

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

Fields of papers citing papers by Suriya Murugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images
Hit paper breakdown →
2021275
2 202066
3 202446
4 201845
5 202442
6 202442
7 201934
8 202428
9 202027
10 202427
11 202425
12 202221
13 202021
14 202120
15 202017
16 201917
17 202016
18 201916
19 202314
20 201913

About Suriya Murugan

Suriya Murugan is a scholar working on Computer Networks and Communications, Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 110 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Systems and Machine Learning (19 papers), Cognitive Radio Networks and Spectrum Sensing (14 papers), Internet of Things and AI (13 papers), Smart Agriculture and AI (6 papers), Brain Tumor Detection and Classification (5 papers), Human Mobility and Location-Based Analysis (5 papers), IoT-based Smart Home Systems (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Neurology (207 citations), Health Information Management (82 citations), Health Informatics (16 citations), Computer Networks and Communications (235 citations) and Artificial Intelligence (240 citations). Suriya Murugan has collaborated with scholars based in India, Cyprus and Australia. Frequent co-authors include Anandakumar Haldorai, M. G. Sumithra, Arulmurugan Ramu, Chandran Venkatesan, Muthuramalingam Akila, Manoharan Subramanian, Xiao‐Zhi Gao, Chitra Sabapathy Ranganathan, R. Manikandan and Arumugam Sampathkumar. Their work appears in journals such as IEEE Access, Computer Applications in Engineering Education, International Journal of Production Research, Wireless Networks and International Journal of Antennas and Propagation.

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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