Manoj Kumar

5.9k citations
240 papers · 3.1k · h-index 31

Impact in

Papers in

Manoj Kumar

218 papers receiving 3.0k citations

Peers

Manoj Kumar
Comparison fields: 5 of 165
  • Computer Networks and Communications 862
  • Computer Vision and Pattern Recognition 701
  • Information Systems 640
  • Signal Processing 288
  • Media Technology 201
Replace Ahmed Alkhayyat with:
Ahmed Alkhayyat Iraq
Ashutosh Sharma India
Achyut Shankar India
Payam Barnaghi United Kingdom
Vinay Kukreja India
Mohammad R. Khosravi Iran
Pradeep Kumar Singh India
Rongfang Bie China
M. Mazhar Rathore South Korea
Wazir Zada Khan Saudi Arabia
Manoj Kumar relative to Ahmed Alkhayyat Iraq Ahmed Alkhayyat's profile →
Citations per field
00.5×2.6×
Ahmed Alkhayyat · 1×
Citations per year

Countries citing papers authored by Manoj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manoj Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manoj Kumar Line = papers co-authored together Manoj Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021113
2 2020110
3 202179
4 202079
5 202265
6 202360
7 202059
8 202158
9 202050
10 200449
11 202248
12 202146
13 202146
14 202345
15 202443
16 202142
17 202340
18 202039
19 202138
20 202137

About Manoj Kumar

Manoj Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 240 papers that have together received 3.1k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (27 papers), IoT and Edge/Fog Computing (24 papers), Energy Efficient Wireless Sensor Networks (18 papers), Anomaly Detection Techniques and Applications (18 papers), Network Security and Intrusion Detection (17 papers), Advanced Steganography and Watermarking Techniques (15 papers), Blockchain Technology Applications and Security (15 papers) and Advanced Malware Detection Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (862 citations), Computer Vision and Pattern Recognition (701 citations), Information Systems (640 citations), Signal Processing (288 citations) and Media Technology (201 citations). Manoj Kumar has collaborated with scholars based in India, United Arab Emirates and Jordan. Frequent co-authors include Thompson Stephan, Achyut Shankar, Premkumar Chithaluru, Fadi Al‐Turjman, Mohammed Alshehri, Akashdeep Bhardwaj, Hitesh Kumar Sharma, Sangeet Srivastava, Purushottam Sharma and Vikas Deep. Their work appears in journals such as Multimedia Tools and Applications, Computers & Electrical Engineering, Archives of Computational Methods in Engineering, Simulation Modelling Practice and Theory and Artificial Intelligence Review.

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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