Shriram Raghunathan

575 citations
46 papers · 364 indexed · h-index 11
Topics
Neuroscience and Neural Engineering (8 papers)EEG and Brain-Computer Interfaces (8 papers)IoT and Edge/Fog Computing (7 papers)
Journals
SHILAP Revista de lepidopterologíaSustainabilityJournal of the Association for Information Systems

In The Last Decade

Shriram Raghunathan

41 papers receiving 335 citations

Peers

Shriram Raghunathan
Comparison fields: 5 of 75
  • Cognitive Neuroscience 133
  • Information Systems 97
  • Cellular and Molecular Neuroscience 79
  • Computer Networks and Communications 76
  • Electrical and Electronic Engineering 54
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Citations per field
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Citations per year

Countries citing papers authored by Shriram Raghunathan

Since Specialization
Citations

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

Fields of papers citing papers by Shriram Raghunathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shriram Raghunathan

This figure shows the co-authorship network connecting the top 25 collaborators of Shriram Raghunathan. A scholar is included among the top collaborators of Shriram Raghunathan 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 Shriram Raghunathan. Shriram Raghunathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 7
3 2
4 4
5 16
6 2
7 2
8 10
9 10
10 25
11 1
12 10
13 1
14
Mobile Ontology Design for Semantic Web: A Case Study
1
15 38
16 1
17 19
18
Cross Lingual Information Retrieval Using Data Mining Methods
1
19 57
20
Adaptive hybrid methods for Feature selection based on Aggregation of Information gain and Clustering methods
6

About Shriram Raghunathan

Shriram Raghunathan is a scholar working on Information Systems, Computer Networks and Communications and Cognitive Neuroscience, having authored 46 papers that have together received 364 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), EEG and Brain-Computer Interfaces (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Cognitive Neuroscience (133 citations), Information Systems (97 citations) and Cellular and Molecular Neuroscience (79 citations). Shriram Raghunathan has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Pedro P. Irazoqui, Kaushik Roy, Sumeet Kumar Gupta, Bibhya Sharma, Matthew Ward, Robert M. Worth, Vijayan Sugumaran, Marko Teräs, K. Vivekanandan and Jonathan D. Charlesworth. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Journal of the Association for Information Systems.

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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