Manoj Kumar

5.9k citations
285 papers · 3.8k · h-index 34

Impact in

Papers in

Manoj Kumar

254 papers receiving 3.5k citations

Peers

Manoj Kumar
Comparison fields: 5 of 170
  • Computer Networks and Communications 986
  • Computer Vision and Pattern Recognition 807
  • Information Systems 747
  • Signal Processing 353
  • Artificial Intelligence 833
Replace Pradeep Kumar Singh with:
Pradeep Kumar Singh India
Ahmed Alkhayyat Iraq
Ashutosh Sharma India
Mohammad R. Khosravi Iran
Rongfang Bie China
Achyut Shankar India
Mukesh Prasad Australia
Tanupriya Choudhury India
Sharnil Pandya India
Raghvendra Kumar India
Manoj Kumar relative to Pradeep Kumar Singh India Pradeep Kumar Singh's profile →
Citations per field
00.5×1.5×
Pradeep Kumar Singh · 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 285 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020120
2 2021114
3 2016101
4 202092
5 202179
6 202272
7 202071
8 202363
9 202162
10 202362
11 200457
12 202254
13 202054
14 202149
15 202149
16 202049
17 202448
18 202145
19 202343
20 202242

About Manoj Kumar

Manoj Kumar is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Electrical and Electronic Engineering, having authored 285 papers that have together received 3.8k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (29 papers), IoT and Edge/Fog Computing (27 papers), Anomaly Detection Techniques and Applications (20 papers), Network Security and Intrusion Detection (20 papers), Energy Efficient Wireless Sensor Networks (18 papers), Advanced Steganography and Watermarking Techniques (17 papers), Blockchain Technology Applications and Security (17 papers) and Advanced Malware Detection Techniques (13 papers). The work is most often cited by research in Computer Networks and Communications (986 citations), Computer Vision and Pattern Recognition (807 citations), Information Systems (747 citations), Signal Processing (353 citations) and Artificial Intelligence (833 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, Akashdeep Bhardwaj, Fadi Al‐Turjman, Mohammed Alshehri, Hitesh Kumar Sharma, Sangeet Srivastava, Purushottam Sharma and Vivek Kumar. Their work appears in journals such as Multimedia Tools and Applications, Archives of Computational Methods in Engineering, Simulation Modelling Practice and Theory, Computers & Electrical Engineering 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.

Explore authors with similar magnitude of impact