M. Supriya

923 citations
69 papers · 430 · h-index 12

Impact in

Papers in

M. Supriya

59 papers receiving 413 citations

Peers

M. Supriya
Comparison fields: 5 of 73
  • Computer Networks and Communications 174
  • Information Systems 156
  • Artificial Intelligence 95
  • Signal Processing 26
  • Hardware and Architecture 15
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Kenji Tei Japan
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Maninder Kaur India
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Citations per field
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Citations per year

Countries citing papers authored by M. Supriya

Since Specialization
Citations

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

Fields of papers citing papers by M. Supriya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M. Supriya, 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 M. Supriya Line = papers co-authored together M. Supriya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202384
2 201224
3
Trustworthy cloud service provider selection using multi criteria decision making methods
201618
4 202417
5
Traffic-Aware Partition and Aggregation in Map Reduce for Big Data Applications
201815
6 202214
7 202314
8 202213
9 202213
10 202012
11 202312
12 201511
13 202210
14 201910
15 202210
16 201310
17 202410
18 20148
19 20177
20 20206

About M. Supriya

M. Supriya is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 430 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (19 papers), Cloud Computing and Resource Management (13 papers), Cloud Data Security Solutions (9 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Network Security and Intrusion Detection (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Computer Networks and Communications (174 citations), Information Systems (156 citations), Artificial Intelligence (95 citations), Signal Processing (26 citations) and Hardware and Architecture (15 citations). M. Supriya has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Rajkumar Buyya, G.K. Patra, V G Narendra, U. Dinesh Acharya, Ashalatha Nayak, P. Radhakrishnan, Deepa Gupta and Shyam Sundar. Their work appears in journals such as IEEE Access, Biomedical Signal Processing and Control, EURASIP Journal on Wireless Communications and Networking, Internet of Things and IEEE Open Journal of the Communications Society.

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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