Narendra Shekokar

734 citations
65 papers · 377 indexed · h-index 11
Topics
Spam and Phishing Detection (14 papers)Advanced Malware Detection Techniques (13 papers)Network Security and Intrusion Detection (12 papers)
Journals
SHILAP Revista de lepidopterologíaComputers & SecurityInternational Journal of Advanced Computer Science and Applications
Partner nations
IndiaUnited States

In The Last Decade

Narendra Shekokar

57 papers receiving 333 citations

Peers

Narendra Shekokar
Comparison fields: 5 of 69
  • Information Systems 174
  • Computer Networks and Communications 167
  • Artificial Intelligence 139
  • Signal Processing 86
  • Electrical and Electronic Engineering 41
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Jassim Happa United Kingdom
Heidelinde Hobel Austria
Rafik Bouaziz Tunisia
Zinaida Benenson Germany
Diego Elias Costa Canada
Kiho Lim United States
Jack F. Bravo‐Torres Ecuador
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Citations per field
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Countries citing papers authored by Narendra Shekokar

Since Specialization
Citations

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

Fields of papers citing papers by Narendra Shekokar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narendra Shekokar

This figure shows the co-authorship network connecting the top 25 collaborators of Narendra Shekokar. A scholar is included among the top collaborators of Narendra Shekokar 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 Narendra Shekokar. Narendra Shekokar 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 1
2 0
3 23
4 1
5 2
6 3
7 3
8 0
9 3
10 3
11 1
12 1
13 7
14 4
15 10
16 2
17 4
18 0
19 9
20 13

About Narendra Shekokar

Narendra Shekokar is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing, having authored 65 papers that have together received 377 indexed citations. Recurring topics across this work include Spam and Phishing Detection (14 papers), Advanced Malware Detection Techniques (13 papers) and Network Security and Intrusion Detection (12 papers). The work is most often cited by research in Signal Processing (86 citations), Information Systems (174 citations) and Computer Networks and Communications (167 citations). Narendra Shekokar has collaborated with scholars based in India and United States. Frequent co-authors include Hari Vasudevan, Meera Narvekar, Antonis Michalas, Abhay Gupta, Harsh Mehta, Pallavi Vijay Chavan, Abhijit Joshi, Ramchandra Mangrulkar, Abhijit Saha and Rushil Desai. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Security and International Journal of Advanced Computer Science and Applications.

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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