Dinil Mon Divakaran
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Co-authors
- Mohan GurusamyVrizlynn L. L. ThingSuman Sankar BhuniaIdo NevatLevente CsikorMin Suk KangAdam OestKalupahana Liyanage Kushan Sudheera
- Topics
- Network Security and Intrusion Detection (34 papers)Software-Defined Networks and 5G (24 papers)Internet Traffic Analysis and Secure E-voting (24 papers)
- Journals
- IEEE Communications MagazineIEEE Internet of Things JournalIEEE/ACM Transactions on Networking
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Dinil Mon Divakaran
69 papers receiving 730 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 596
- Artificial Intelligence 394
- Information Systems 260
- Signal Processing 246
- Electrical and Electronic Engineering 104
Countries citing papers authored by Dinil Mon Divakaran
This map shows the geographic impact of Dinil Mon Divakaran'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 Dinil Mon Divakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinil Mon Divakaran more than expected).
Fields of papers citing papers by Dinil Mon Divakaran
This network shows the impact of papers produced by Dinil Mon Divakaran. 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 Dinil Mon Divakaran. The network helps show where Dinil Mon Divakaran may publish in the future.
Co-authorship network of co-authors of Dinil Mon Divakaran
This figure shows the co-authorship network connecting the top 25 collaborators of Dinil Mon Divakaran. A scholar is included among the top collaborators of Dinil Mon Divakaran 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 Dinil Mon Divakaran. Dinil Mon Divakaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 40 | |
| 15 | Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages | 27 |
| 16 | 120 | |
| 17 | 51 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | 12 |
About Dinil Mon Divakaran
Dinil Mon Divakaran is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 72 papers that have together received 770 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (34 papers), Software-Defined Networks and 5G (24 papers) and Internet Traffic Analysis and Secure E-voting (24 papers). The work is most often cited by research in Computer Networks and Communications (596 citations), Signal Processing (246 citations) and Artificial Intelligence (394 citations). Dinil Mon Divakaran has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Mohan Gurusamy, Vrizlynn L. L. Thing, Suman Sankar Bhunia, Ido Nevat, Levente Csikor, Min Suk Kang, Adam Oest, Kalupahana Liyanage Kushan Sudheera, Timothy A. Gonsalves and Long Cheng. Their work appears in journals such as IEEE Communications Magazine, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.
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.