Veenu Mangat

932 citations
35 papers · 576 indexed · h-index 11
Topics
Network Security and Intrusion Detection (13 papers)Data Mining Algorithms and Applications (8 papers)Software-Defined Networks and 5G (6 papers)
Partner nations
IndiaPakistanItaly

In The Last Decade

Veenu Mangat

32 papers receiving 530 citations

Peers

Veenu Mangat
Comparison fields: 5 of 79
  • Artificial Intelligence 314
  • Computer Networks and Communications 271
  • Information Systems 156
  • Signal Processing 99
  • Electrical and Electronic Engineering 60
Replace Udai Pratap Rao with:
Udai Pratap Rao India
MingJian Tang Australia
Ja’far Alqatawna Jordan
Junho Shim South Korea
Haruo Yokota Japan
Chittaranjan Hota India
Jerry den Hartog Netherlands
Mohamed Nassar Lebanon
Júlia Couto Brazil
Veenu Mangat relative to Udai Pratap Rao India Udai Pratap Rao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Veenu Mangat

Since Specialization
Citations

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

Fields of papers citing papers by Veenu Mangat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veenu Mangat

This figure shows the co-authorship network connecting the top 25 collaborators of Veenu Mangat. A scholar is included among the top collaborators of Veenu Mangat 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 Veenu Mangat. Veenu Mangat 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
#WorkIndexed citations
1 0
2 0
3 3
4 4
5 5
6 1
7 12
8 75
9 2
10 1
11 21
12 1
13 31
14 2
15 8
16 10
17 50
18
SURVEY ON PARTICLE SWARM OPTIMIZATION BASED WEB MINING
3
19
A Novel Hybrid Framework using Evolutionary Computing and Swarm Intelligence for Rule Mining in the medical domain
2
20 10

About Veenu Mangat

Veenu Mangat is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 35 papers that have together received 576 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Data Mining Algorithms and Applications (8 papers) and Software-Defined Networks and 5G (6 papers). The work is most often cited by research in Computer Networks and Communications (271 citations), Artificial Intelligence (314 citations) and Signal Processing (99 citations). Veenu Mangat has collaborated with scholars based in India, Pakistan and Italy. Frequent co-authors include Renu Vig, Krishan Kumar, Harpreet Kaur, Subir Halder, Mauro Conti, Naveen Aggarwal and Priyanka Kumari. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Computer Networks.

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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