Emmanuel S. Pilli

3.2k total citations · 1 hit paper
103 papers, 2.1k citations indexed

About

Emmanuel S. Pilli is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Emmanuel S. Pilli has authored 103 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 50 papers in Information Systems and 45 papers in Artificial Intelligence. Recurrent topics in Emmanuel S. Pilli's work include Network Security and Intrusion Detection (42 papers), Advanced Malware Detection Techniques (42 papers) and IoT and Edge/Fog Computing (20 papers). Emmanuel S. Pilli is often cited by papers focused on Network Security and Intrusion Detection (42 papers), Advanced Malware Detection Techniques (42 papers) and IoT and Edge/Fog Computing (20 papers). Emmanuel S. Pilli collaborates with scholars based in India, Australia and United States. Emmanuel S. Pilli's co-authors include Preeti Mishra, Udaya Tupakula, Vijay Varadharajan, R. C. Joshi, Mahesh Chandra Govil, Rajdeep Niyogi, Girdhari Singh, Arka Prokash Mazumdar, Pankaj Kumar Keserwani and C. Rama Krishna and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and Applied Soft Computing.

In The Last Decade

Emmanuel S. Pilli

98 papers receiving 2.0k citations

Hit Papers

A Detailed Investigation and Analysis of Using Machine Le... 2018 2026 2020 2023 2018 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. A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection
    2018 476 citations Preeti Mishra, Vijay Varadharajan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel S. Pilli India 20 1.6k 1.0k 945 920 120 103 2.1k
Pavel Čeleda Czechia 16 1.1k 0.7× 766 0.8× 466 0.5× 474 0.5× 78 0.7× 84 1.5k
Qiben Yan United States 21 1.5k 0.9× 698 0.7× 1.1k 1.2× 722 0.8× 91 0.8× 77 2.1k
Constantinos Kolias United States 16 2.1k 1.3× 1.3k 1.3× 1.2k 1.2× 619 0.7× 116 1.0× 46 2.6k
Jorge Bernal Bernabé Spain 23 1.3k 0.8× 749 0.7× 335 0.4× 786 0.9× 101 0.8× 71 2.0k
Leonardo Aniello Italy 14 984 0.6× 437 0.4× 442 0.5× 1.0k 1.1× 80 0.7× 39 1.4k
Dongho Won South Korea 24 1.5k 0.9× 651 0.6× 410 0.4× 1.3k 1.4× 167 1.4× 178 1.9k
Giovanni Russello New Zealand 19 763 0.5× 770 0.8× 353 0.4× 689 0.7× 176 1.5× 93 1.6k
Joshua Garcia United States 24 1.0k 0.6× 782 0.8× 566 0.6× 1.3k 1.4× 56 0.5× 62 1.8k
Wei‐Shinn Ku United States 22 923 0.6× 617 0.6× 619 0.7× 381 0.4× 158 1.3× 165 1.8k
Claudio Soriente United States 21 809 0.5× 654 0.6× 358 0.4× 540 0.6× 156 1.3× 58 1.5k

Countries citing papers authored by Emmanuel S. Pilli

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel S. Pilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel S. Pilli. 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 Emmanuel S. Pilli. The network helps show where Emmanuel S. Pilli may publish in the future.

Co-authorship network of co-authors of Emmanuel S. Pilli

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel S. Pilli. A scholar is included among the top collaborators of Emmanuel S. Pilli 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 Emmanuel S. Pilli. Emmanuel S. Pilli 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.
Pilli, Emmanuel S., et al.. (2025). A comprehensive survey on RPL routing-based attacks, defences and future directions in Internet of Things. Computers & Electrical Engineering. 123. 110071–110071. 1 indexed citations
2.
Chouhan, Satyendra Singh, et al.. (2024). DiEvD-SF: Disruptive Event Detection Using Continual Machine Learning With Selective Forgetting. IEEE Transactions on Computational Social Systems. 11(3). 4189–4201.
3.
Chaudhary, Monika, et al.. (2024). Mmds: multimodal benchmark dataset for suspicious profile detection on twitter social network. Social Network Analysis and Mining. 14(1).
4.
Govil, Mahesh Chandra, et al.. (2022). Energy-aware scientific workflow scheduling in cloud environment. Cluster Computing. 25(6). 3845–3874. 21 indexed citations
5.
Pilli, Emmanuel S., et al.. (2022). ProvNet-IoT: Provenance based network layer forensics in Internet of Things. Forensic Science International Digital Investigation. 43. 301441–301441. 5 indexed citations
6.
Pilli, Emmanuel S., et al.. (2021). BSS: a brokering model for service selection using integrated weighting approach in cloud environment. Journal of Cloud Computing Advances Systems and Applications. 10(1). 12 indexed citations
7.
Mishra, Preeti, et al.. (2021). A Review on Attack and Security Tools at Network Layer of IoT. Lecture notes in electrical engineering. 497–506. 2 indexed citations
8.
Singh, Girdhari, et al.. (2020). Storage, partitioning, indexing and retrieval in Big RDF frameworks: A survey. Computer Science Review. 38. 100309–100309. 10 indexed citations
9.
Pilli, Emmanuel S., et al.. (2019). RraR: Robust Recommendation Aggregation using Retraining in Internet of Things. 76–80. 4 indexed citations
10.
Pilli, Emmanuel S., et al.. (2018). Survey of Peer-to-Peer Botnets and Detection Frameworks.. Int. J. Netw. Secur.. 20. 547–557. 14 indexed citations
11.
Govil, Mahesh Chandra, et al.. (2018). V-SIN: Visual Saliency detection in noisy Images using convolutional neural Network. 24. 1–6. 2 indexed citations
12.
Mishra, Preeti, Emmanuel S. Pilli, Vijay Varadharajan, & Udaya Tupakula. (2017). VAED: VMI‐assisted evasion detection approach for infrastructure as a service cloud. Concurrency and Computation Practice and Experience. 29(12). 15 indexed citations
13.
Joshi, Raj & Emmanuel S. Pilli. (2016). Fundamentals of Network Forensics: A Research Perspective. CERN Bulletin. 2 indexed citations
14.
Pilli, Emmanuel S., et al.. (2016). Survey of scaling platforms for Deep Neural Networks. 1–6. 5 indexed citations
15.
Goyal, Tarun, et al.. (2015). A Secure Hybrid Cloud Enabled architecture for Internet of Things. 274–279. 13 indexed citations
16.
Mishra, Anand Kumar, Emmanuel S. Pilli, & Mahesh Chandra Govil. (2014). A Prototype Implementation of Log Acquisition in Private Cloud Environment. 223–228. 2 indexed citations
17.
Bijalwan, Anchit & Emmanuel S. Pilli. (2014). Understanding botnet on Internet. 1–5. 3 indexed citations
18.
Bijalwan, Anchit, et al.. (2013). A Generic Process Model for Botnet Forensic Analysis. 98–102. 6 indexed citations
19.
Pilli, Emmanuel S., et al.. (2013). Live virtual machine migration techniques: Survey and research challenges. 963–969. 75 indexed citations
20.
Pilli, Emmanuel S., et al.. (2013). HIPAA Compliance and Cloud Computing. International Journal of Computer Applications. 70(24). 29–32. 2 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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