Vivek Kumar Verma

1.3k citations
54 papers · 690 indexed · h-index 12

Vivek Kumar Verma

45 papers receiving 644 citations

Peers

Vivek Kumar Verma
Comparison fields: 5 of 123
  • Computer Graphics and Computer-Aided Design 132
  • Computer Vision and Pattern Recognition 194
  • Industrial and Manufacturing Engineering 65
  • Water Science and Technology 102
  • Human-Computer Interaction 21
Replace Hao Song with:
Hao Song China
Fuchang Liu China
Jin Zeng China
Bo Fu China
Jakub Wejchert United States
Xinyi Chen China
Xupeng Wang China
Zhiqiang Zhang China
Yan Cao China
John W. V. Miller United States
Vivek Kumar Verma relative to Hao Song China Hao Song's profile →
Citations per field
00.5×5.3×
Hao Song · 1×
Citations per year

Countries citing papers authored by Vivek Kumar Verma

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Kumar Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 202411
5 20240
6 20240
7 20231
8 202311
9 20237
10 20230
11 202218
12 20210
13 20211
14 20200
15 201510
16
VERMICOMPOST: QUALITY ORGANIC MANURE FOR ZOOPLANKTON PRODUCTION IN AQUACULTURE
20121
17
Removal of dyes using low cost adsorbents
200810
18 200446
19 199925
20 199021

About Vivek Kumar Verma

Vivek Kumar Verma is a scholar working on Computer Graphics and Computer-Aided Design, Health Informatics and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 690 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (4 papers), Mental Health via Writing (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Constructed Wetlands for Wastewater Treatment (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (132 citations), Computer Vision and Pattern Recognition (194 citations) and Industrial and Manufacturing Engineering (65 citations). Vivek Kumar Verma has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Jai Prakash, Alex Pang, David Kao, Yashpal Singh, Tarun Jain, Anju Yadav, R. D. S. Yadava, Sumit Srivastava, Vipin Pal and Pradeep Kumar Tiwari. Their work appears in journals such as Bioresource Technology, Sensors and Actuators B Chemical and Industrial Crops and Products.

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