Somya Ranjan Sahoo

1.1k citations
19 papers · 621 indexed · 1 hit paper · h-index 8
Topics
Spam and Phishing Detection (9 papers)Molecular Communication and Nanonetworks (6 papers)Network Security and Intrusion Detection (6 papers)
Partner nations
IndiaAustraliaGermany

In The Last Decade

Somya Ranjan Sahoo

14 papers receiving 581 citations

Hit Papers

Multiple features based approach for automatic fake news ...2020202620222024202050100150200250

Peers

Somya Ranjan Sahoo
Comparison fields: 5 of 76
  • Information Systems 353
  • Sociology and Political Science 349
  • Artificial Intelligence 267
  • Signal Processing 157
  • Computer Networks and Communications 92
Replace Steven Englehardt with:
Steven Englehardt United States
Seda Gürses Belgium
G. Geethakumari India
Arnau Erola United Kingdom
Ioannis Agrafiotis United Kingdom
Masnizah Mohd Malaysia
Pradeep K. Murukannaiah United States
Fabio Gasparetti Italy
Farshad Kooti United States
Somya Ranjan Sahoo relative to Steven Englehardt United States Steven Englehardt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Somya Ranjan Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Somya Ranjan Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Somya Ranjan Sahoo

This figure shows the co-authorship network connecting the top 25 collaborators of Somya Ranjan Sahoo. A scholar is included among the top collaborators of Somya Ranjan Sahoo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Somya Ranjan Sahoo. Somya Ranjan Sahoo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
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9 30
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11 1
12 119
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14 7
15 12
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Multiple features based approach for automatic fake news detection on social networks using deep learningbreakdown →
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18 61
19 50

About Somya Ranjan Sahoo

Somya Ranjan Sahoo is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications, having authored 19 papers that have together received 621 indexed citations. Recurring topics across this work include Spam and Phishing Detection (9 papers), Molecular Communication and Nanonetworks (6 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Information Systems (353 citations), Signal Processing (157 citations) and Artificial Intelligence (267 citations). Somya Ranjan Sahoo has collaborated with scholars based in India, Australia and Germany. Frequent co-authors include Brij B. Gupta, Ankit Kumar Jain, Nandakishor Yadav, Lokesh Chouhan, Neeraj Kumar, Han Zhu, Nitin Gupta and Saroj Kumar Panigrahy. Their work appears in journals such as ACM Computing Surveys, IEEE Internet of Things Journal and Applied Soft Computing.

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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