Harsh Kumar Verma

116 papers receiving 984 citations

Peers

Harsh Kumar Verma
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 360
  • Computer Networks and Communications 340
  • Software 36
  • Information Systems 188
  • Signal Processing 84
Replace Shaoen Wu with:
Shaoen Wu United States
Sadaqat Ur Rehman China
Sabu M. Thampi India
Bing-Hong Liu Taiwan
Chunming Wu China
Zhiyuan Li China
Shimpi Singh Jadon India
Rajgopal Kannan United States
Guan Yuan China
Harsh Kumar Verma relative to Shaoen Wu United States Shaoen Wu's profile →
Citations per field
00.5×1.5×2.0×
Shaoen Wu · 1×
Citations per year

Countries citing papers authored by Harsh Kumar Verma

Since Specialization
Citations

This map shows the geographic impact of Harsh 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 Harsh 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 Harsh Kumar Verma more than expected).

Fields of papers citing papers by Harsh Kumar Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Harsh Kumar Verma, 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 Harsh Kumar Verma Line = papers co-authored together Harsh Kumar Verma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201868
2 201645
3 202040
4 201737
5 201637
6 201036
7 201633
8 201632
9 201628
10 201927
11 201727
12 202124
13 201024
14 202023
15 202022
16 202022
17 201821
18 201320
19 201217
20 202015

About Harsh Kumar Verma

Harsh Kumar Verma is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 134 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (21 papers), Advanced Steganography and Watermarking Techniques (16 papers), Network Security and Intrusion Detection (14 papers), Vehicular Ad Hoc Networks (VANETs) (10 papers), Digital Media Forensic Detection (10 papers), Cryptography and Data Security (9 papers), Wireless Body Area Networks (9 papers) and Mobile Ad Hoc Networks (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (360 citations), Computer Networks and Communications (340 citations), Software (36 citations), Information Systems (188 citations) and Signal Processing (84 citations). Harsh Kumar Verma has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Geeta Sikka, Arun Malik, Amrit Lal Sangal, Renu Dhir, Priti Maheshwari, Raman Kumar, Renu Dhir, Maninder Kaur, Lalit Kumar Awasthi and Moin Uddin. Their work appears in journals such as Multimedia Tools and Applications, Transactions on Emerging Telecommunications Technologies, International Journal of Wireless Information Networks, Arabian Journal for Science and Engineering and Journal of King Saud University - Computer and Information Sciences.

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