Manoj Kumar

5.6k citations
236 papers · 3.0k indexed · h-index 31

Impact in

Papers in

Manoj Kumar

213 papers receiving 2.8k citations

Peers

Manoj Kumar
Comparison fields: 5 of 168
  • Computer Networks and Communications 834
  • Computer Vision and Pattern Recognition 683
  • Information Systems 625
  • Signal Processing 281
  • Artificial Intelligence 726
Replace Ahmed Alkhayyat with:
Ahmed Alkhayyat Iraq
Ashutosh Sharma India
Pradeep Kumar Singh India
Achyut Shankar India
Mohammad R. Khosravi Iran
Vinay Kukreja India
Rongfang Bie China
Chang Choi South Korea
M. Mazhar Rathore South Korea
Bo Tang United States
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-authorship network

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
#Work
1 20251
2 202415
3 20243
4 20240
5 20241
6 202435
7 202328
8 202323
9 20233
10 202317
11 202314
12 202313
13 20221
14 202212
15 202121
16 202111
17 202175
18 202030
19 20191
20
An Improved Smart Card Based Remote user Authentication Scheme with Session Key Agreement During the Verification Phase
20115

About Manoj Kumar

Manoj Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Media Technology, having authored 236 papers that have together received 3.0k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (27 papers), IoT and Edge/Fog Computing (23 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 (14 papers) and Advanced Malware Detection Techniques (12 papers). The work is most often cited by research in Computer Networks and Communications (834 citations), Computer Vision and Pattern Recognition (683 citations), Information Systems (625 citations), Signal Processing (281 citations) and Artificial Intelligence (726 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, Artificial Intelligence Review, Archives of Computational Methods in Engineering, Computers & Electrical Engineering and Simulation Modelling Practice and Theory.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026