Pawan Kumar Verma

558 total citations · 1 hit paper
21 papers, 302 citations indexed

About

Pawan Kumar Verma is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Pawan Kumar Verma has authored 21 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Pawan Kumar Verma's work include Spam and Phishing Detection (5 papers), Misinformation and Its Impacts (4 papers) and Sentiment Analysis and Opinion Mining (2 papers). Pawan Kumar Verma is often cited by papers focused on Spam and Phishing Detection (5 papers), Misinformation and Its Impacts (4 papers) and Sentiment Analysis and Opinion Mining (2 papers). Pawan Kumar Verma collaborates with scholars based in India, China and Austria. Pawan Kumar Verma's co-authors include Prateek Agrawal, Radu Prodan, Vishu Madaan, Mohit Bajaj, Ateeq Ur Rehman, Ijaz Ahmad, Pradeep Kumar Singh, Sayed M. Eldin, Charu Gupta and Vivek Sharma and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Quality & Reliability Management.

In The Last Decade

Pawan Kumar Verma

15 papers receiving 291 citations

Hit Papers

WELFake: Word Embedding Over Linguistic Features for Fake... 2021 2026 2022 2024 2021 50 100 150

Peers

Pawan Kumar Verma
Comparison fields: 5 of 50
  • Information Systems 200
  • Sociology and Political Science 167
  • Artificial Intelligence 119
  • Signal Processing 73
  • Computer Networks and Communications 46
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Citations per field, relative to Pawan Kumar Verma
Pawan Kumar Verma · 1×
Citations per year, relative to Pawan Kumar Verma
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Countries citing papers authored by Pawan Kumar Verma

Since Specialization
Citations

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

Fields of papers citing papers by Pawan Kumar Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pawan Kumar Verma. 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 Pawan Kumar Verma. The network helps show where Pawan Kumar Verma may publish in the future.

Co-authorship network of co-authors of Pawan Kumar Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Pawan Kumar Verma. A scholar is included among the top collaborators of Pawan Kumar Verma 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 Pawan Kumar Verma. Pawan Kumar Verma 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
# Work Indexed citations
1 1
2 0
3 0
4 14
5 0
6 41
7 10
8 34
9 12
10 0
11
WELFake: Word Embedding Over Linguistic Features for Fake News Detection breakdown →
165
12
Visualizing impact of Goods and Service Tax on different corners of Pharmaceutical industry- A study of Jaipur District of Rajasthan
1
13 0
14 6
15 5
16 7
17 0
18 1
19 3
20
Transformation Invariant Robust Shape Analysis.
1

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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