Manmath Narayan Sahoo

666 citations
37 papers · 492 · h-index 13

Impact in

    • IoT and Edge/Fog Computing
    • Software-Defined Networks and 5G
    • Energy Efficient Wireless Sensor Networks
    • Age of Information Optimization
    • Caching and Content Delivery
    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security

Papers in

Manmath Narayan Sahoo

36 papers receiving 476 citations

Peers

Manmath Narayan Sahoo
Comparison fields: 5 of 85
  • Computer Networks and Communications 276
  • Information Systems 139
  • Health Informatics 5
  • Computer Vision and Pattern Recognition 79
  • Health Information Management 16
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Citations per field
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Citations per year

Countries citing papers authored by Manmath Narayan Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Manmath Narayan Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manmath Narayan Sahoo. 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 Manmath Narayan Sahoo. The network helps show where Manmath Narayan Sahoo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 201856
3 202034
4 201730
5 201428
6 201728
7 201921
8 201921
9 202319
10 202217
11 202114
12 201613
13 202112
14 202212
15 202011
16 202110
17 201810
18 20199
19 20097
20 20207

About Manmath Narayan Sahoo

Manmath Narayan Sahoo is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Neurology and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 492 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Cloud Computing and Resource Management (10 papers), Software-Defined Networks and 5G (8 papers), Caching and Content Delivery (5 papers), Brain Tumor Detection and Classification (4 papers), Age of Information Optimization (4 papers), Mobile Ad Hoc Networks (4 papers) and Advanced Optical Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (276 citations), Information Systems (139 citations), Health Informatics (5 citations), Computer Vision and Pattern Recognition (79 citations) and Health Information Management (16 citations). Manmath Narayan Sahoo has collaborated with scholars based in India, United Kingdom and South Korea. Frequent co-authors include Sambit Bakshi, Anurag Satpathy, Joel J. P. C. Rodrigues, Khan Muhammad, Pabitra Mohan Khilar, Ioannis Hatzilygeroudis, Pankaj Kumar, Banshidhar Majhi, Victor Hugo C. de Albuquerque and Yulei Wu. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE Internet of Things Journal, IEEE Communications Surveys & Tutorials, Journal of Applied Biomedicine and IEEE Transactions on Green Communications and Networking.

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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