Nitin Naik

3.2k total citations · 1 hit paper
99 papers, 2.0k citations indexed

About

Nitin Naik is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Nitin Naik has authored 99 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 42 papers in Information Systems and 41 papers in Artificial Intelligence. Recurrent topics in Nitin Naik's work include Network Security and Intrusion Detection (37 papers), Advanced Malware Detection Techniques (22 papers) and Spam and Phishing Detection (12 papers). Nitin Naik is often cited by papers focused on Network Security and Intrusion Detection (37 papers), Advanced Malware Detection Techniques (22 papers) and Spam and Phishing Detection (12 papers). Nitin Naik collaborates with scholars based in United Kingdom, China and Thailand. Nitin Naik's co-authors include Paul Jenkins, Qiang Shen, Ren Diao, Longzhi Yang, Nick Savage, William E. Dugger, Jingping Song, Tossapon Boongoen, Kshirasagar Naik and Changjing Shang and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Nitin Naik

94 papers receiving 1.9k citations

Hit Papers

Choice of effective messaging protocols for IoT systems: ... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Choice of effective messaging protocols for IoT systems: MQTT, CoAP, AMQP and HTTP
    2017 422 citations Nitin Naik Portsmouth Research Portal (University of Portsmouth) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nitin Naik United Kingdom 22 1.1k 863 665 446 236 99 2.0k
Alberto Coen‐Porisini Italy 20 1.6k 1.4× 1.1k 1.2× 692 1.0× 432 1.0× 268 1.1× 75 2.5k
Alessandra Rizzardi Italy 17 1.4k 1.3× 878 1.0× 523 0.8× 395 0.9× 262 1.1× 44 2.0k
Shen Su China 18 888 0.8× 703 0.8× 778 1.2× 353 0.8× 294 1.2× 79 1.9k
Martin Henze Germany 21 1.0k 1.0× 758 0.9× 832 1.3× 316 0.7× 150 0.6× 69 1.7k
Nicola Dragoni Denmark 23 1.6k 1.4× 1.0k 1.2× 661 1.0× 502 1.1× 516 2.2× 106 2.5k
Laurent Njilla United States 22 964 0.9× 1.7k 2.0× 593 0.9× 239 0.5× 227 1.0× 106 2.2k
Limin Sun China 22 909 0.8× 654 0.8× 682 1.0× 610 1.4× 334 1.4× 156 1.9k
Charles Kamhoua United States 25 1.2k 1.1× 1.5k 1.8× 620 0.9× 402 0.9× 221 0.9× 137 2.3k
Young‐Sik Jeong South Korea 25 1.7k 1.5× 1.3k 1.5× 530 0.8× 458 1.0× 473 2.0× 206 2.7k
Monther Aldwairi United Arab Emirates 19 878 0.8× 530 0.6× 759 1.1× 510 1.1× 105 0.4× 71 1.6k

Countries citing papers authored by Nitin Naik

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Naik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Naik

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Naik. A scholar is included among the top collaborators of Nitin Naik 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 Nitin Naik. Nitin Naik 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
1.
Iam-On, Natthakan, Tossapon Boongoen, Nitin Naik, & Longzhi Yang. (2024). Leveraging ensemble clustering for privacy-preserving data fusion: Analysis of big social-media data in tourism. Information Sciences. 686. 121336–121336. 3 indexed citations
2.
3.
Naik, Nitin, et al.. (2024). Advances in Computational Intelligence Systems. Advances in intelligent systems and computing. 1 indexed citations
4.
Boongoen, Tossapon, et al.. (2022). Strengthening intrusion detection system for adversarial attacks: improved handling of imbalance classification problem. Complex & Intelligent Systems. 8(6). 4863–4880. 9 indexed citations
5.
Naik, Nitin & Paul Jenkins. (2020). uPort Open-Source Identity Management System: An Assessment of Self-Sovereign Identity and User-Centric Data Platform Built on Blockchain. Portsmouth Research Portal (University of Portsmouth). 1–7. 71 indexed citations
6.
Naik, Nitin, Paul Jenkins, Nick Savage, & Longzhi Yang. (2020). A computational intelligence enabled honeypot for chasing ghosts in the wires. Complex & Intelligent Systems. 7(1). 477–494. 15 indexed citations
7.
Elisa, Noe, Longzhi Yang, Xin Fu, & Nitin Naik. (2019). Dendritic Cell Algorithm Enhancement Using Fuzzy Inference System for Network Intrusion Detection. Northumbria Research Link (Northumbria University). 1–6. 10 indexed citations
8.
Naik, Nitin & Paul Jenkins. (2019). Relax, It’s a Game: Utilising Gamification in Learning Agile Scrum Software Development. 1–4. 23 indexed citations
9.
Zuo, Zheming, et al.. (2018). Grooming Detection using Fuzzy-Rough Feature Selection and Text Classification. Northumbria Research Link (Northumbria University). 1 indexed citations
10.
Naik, Nitin, Changjing Shang, Qiang Shen, & Paul Jenkins. (2018). Vigilant Dynamic Honeypot Assisted by Dynamic Fuzzy Rule Interpolation. 1731–1738. 9 indexed citations
11.
Zuo, Zheming, et al.. (2018). Grooming Detection using Fuzzy-Rough Feature Selection and Text Classification. TeesRep (Teesside University). 1–8. 20 indexed citations
12.
Naik, Nitin & Paul Jenkins. (2018). A Fuzzy Approach for Detecting and Defending Against Spoofing Attacks on Low Interaction Honeypots. 904–910. 16 indexed citations
13.
Naik, Nitin, Paul Jenkins, Roger Cooke, & Longzhi Yang. (2018). Honeypots That Bite Back: A Fuzzy Technique for Identifying and Inhibiting Fingerprinting Attacks on Low Interaction Honeypots. 1–8. 22 indexed citations
14.
Naik, Nitin, Paul Jenkins, & David Newell. (2017). Choice of suitable Identity and Access Management standards for mobile computing and communication. 1–6. 14 indexed citations
15.
Naik, Nitin, Ren Diao, & Qiang Shen. (2017). Dynamic Fuzzy Rule Interpolation and Its Application to Intrusion Detection. IEEE Transactions on Fuzzy Systems. 26(4). 1878–1892. 85 indexed citations
16.
17.
Naik, Nitin & Paul Jenkins. (2016). A Secure Mobile Cloud Identity: Criteria for Effective Identity and Access Management Standards. 89–90. 26 indexed citations
18.
19.
Naik, Nitin, et al.. (2014). Take It Easy, It Is Games Not Mathematics. 3 indexed citations
20.
Dugger, William E. & Nitin Naik. (2001). Clarifying Misconceptions between Technology Education and Educational Technology.. ˜The œtechnology teacher. 61(1). 31–35. 34 indexed citations

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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