Monika Roopak

686 citations
11 papers · 460 indexed · 1 hit paper · h-index 6
Topics
Network Security and Intrusion Detection (4 papers)Internet Traffic Analysis and Secure E-voting (3 papers)Mobile Ad Hoc Networks (2 papers)

In The Last Decade

Monika Roopak

10 papers receiving 440 citations

Hit Papers

Deep Learning Models for Cyber Security in IoT Networks2019202620212023201950100150200

Peers

Monika Roopak
Comparison fields: 5 of 37
  • Computer Networks and Communications 417
  • Artificial Intelligence 301
  • Signal Processing 256
  • Information Systems 54
  • Control and Systems Engineering 42
Replace Tong Anh Tuan with:
Tong Anh Tuan Vietnam
K. Munivara Prasad India
Chuanhuang Li China
Muhammad Taimoor Khan Pakistan
Muhamad Erza Aminanto Indonesia
Mohamed Idhammad Morocco
Ethan Bayne United Kingdom
Gonzalo De La Torre Parra United States
Harry Chandra Tanuwidjaja South Korea
Hamid Bostani Iran
Monika Roopak relative to Tong Anh Tuan Vietnam Tong Anh Tuan's profile →
Citations per field
00.5×1.5×
Tong Anh Tuan · 1×
Citations per year

Countries citing papers authored by Monika Roopak

Since Specialization
Citations

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

Fields of papers citing papers by Monika Roopak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Roopak

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Roopak. A scholar is included among the top collaborators of Monika Roopak 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 Monika Roopak. Monika Roopak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 1
3 7
4 0
5 3
6 7
7 85
8 101
9
Deep Learning Models for Cyber Security in IoT Networksbreakdown →
244
10
BLACKHOLE ATTACK IMPLEMENTATION IN AODV ROUTING PROTOCOL
6
11
Performance Analysis of Aodv Protocol under Black Hole Attack
5

About Monika Roopak

Monika Roopak is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 11 papers that have together received 460 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Signal Processing (256 citations), Computer Networks and Communications (417 citations) and Artificial Intelligence (301 citations). Monika Roopak has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Gui Yun Tian, Jonathon A. Chambers, Simon Parkinson, Saad Khan, Rachel Armitage, Andrew Barlow, Xiaotian Chen and Yichuang Sun. Their work appears in journals such as IEEE Sensors Journal, Nondestructive Testing And Evaluation and IET Wireless Sensor Systems.

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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