Suku Nair

956 total citations
40 papers, 604 citations indexed

About

Suku Nair is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Suku Nair has authored 40 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 20 papers in Information Systems and 17 papers in Artificial Intelligence. Recurrent topics in Suku Nair's work include Network Security and Intrusion Detection (16 papers), Spam and Phishing Detection (9 papers) and Software-Defined Networks and 5G (7 papers). Suku Nair is often cited by papers focused on Network Security and Intrusion Detection (16 papers), Spam and Phishing Detection (9 papers) and Software-Defined Networks and 5G (7 papers). Suku Nair collaborates with scholars based in United States and Germany. Suku Nair's co-authors include Saeed Abu‐Nimeh, Xinlei Wang, Dario Nappa, Eric C. Larson, Ala’ Abdulmajid Eshmawi, Ephrem Fernández, Jasmine Kim, Eli V. Olinick, Daniel W. Engels and Marco Marchetti and has published in prestigious journals such as Computer Networks, IEEE Systems Journal and Wireless Communications and Mobile Computing.

In The Last Decade

Suku Nair

40 papers receiving 549 citations

Peers

Suku Nair
Comparison fields: 5 of 79
  • Information Systems 408
  • Computer Networks and Communications 251
  • Artificial Intelligence 234
  • Signal Processing 181
  • Sociology and Political Science 49
Replace B. Janet with:
B. Janet India
Lorena González‐Manzano Spain
José M. de Fuentes Spain
Jun Ho Huh South Korea
William Choi United States
Seppo Virtanen Finland
Jae‐Cheol Ryou South Korea
Wenrui Diao China
B. Janet India View profile →
Citations per field, relative to Suku Nair
Suku Nair · 1×
Citations per year, relative to Suku Nair
Suku Nair · 1×

Countries citing papers authored by Suku Nair

Since Specialization
Citations

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

Fields of papers citing papers by Suku Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suku Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Suku Nair. A scholar is included among the top collaborators of Suku Nair 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 Suku Nair. Suku Nair 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
# Work Indexed citations
1 2
2 9
3 1
4 5
5 14
6 3
7 22
8 2
9 4
10 14
11 5
12 49
13 6
14 1
15 7
16 6
17 1
18
Security fusion: a new security architecture for resource-constrained environments
3
19 15
20 11

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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