Vishal Verma

2.0k total citations
49 papers, 761 citations indexed

About

Vishal Verma is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Vishal Verma has authored 49 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Vishal Verma's work include Computational Geometry and Mesh Generation (5 papers), Graphene and Nanomaterials Applications (3 papers) and Blockchain Technology Applications and Security (3 papers). Vishal Verma is often cited by papers focused on Computational Geometry and Mesh Generation (5 papers), Graphene and Nanomaterials Applications (3 papers) and Blockchain Technology Applications and Security (3 papers). Vishal Verma collaborates with scholars based in India, United States and Canada. Vishal Verma's co-authors include Bhim Singh, Kamal Al‐Haddad, Ambrish Chandra, Senthilmurugan Subbiah, Sanjiv Kumar, Yunchao Gong, Svetlana Lazebnik, Rohan Jain, Mukesh Kumar Awasthi and Vijai Singh and has published in prestigious journals such as Bioresource Technology, Chemosphere and Journal of Membrane Science.

In The Last Decade

Vishal Verma

46 papers receiving 727 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vishal Verma India 14 213 121 113 100 86 49 761
Jehangir Arshad Pakistan 16 298 1.4× 51 0.4× 135 1.2× 49 0.5× 105 1.2× 58 786
Muhammad Jawad Pakistan 21 1.0k 4.7× 86 0.7× 170 1.5× 77 0.8× 404 4.7× 110 1.6k
Francisco Javier Ferrández Pastor Spain 12 183 0.9× 118 1.0× 166 1.5× 15 0.1× 31 0.4× 21 752
M. Popa Romania 12 156 0.7× 52 0.4× 127 1.1× 15 0.1× 48 0.6× 94 547
Suherman Suherman Indonesia 13 279 1.3× 48 0.4× 82 0.7× 21 0.2× 36 0.4× 195 700
Vikas Kumar India 16 173 0.8× 65 0.5× 90 0.8× 5 0.1× 117 1.4× 60 818
Xingxing Liang China 14 344 1.6× 53 0.4× 80 0.7× 98 1.0× 73 0.8× 49 877
Yi‐Chung Chen Taiwan 16 285 1.3× 92 0.8× 48 0.4× 8 0.1× 69 0.8× 91 781
Kun Li China 17 467 2.2× 51 0.4× 32 0.3× 23 0.2× 192 2.2× 66 1.1k
Jia Luo China 16 178 0.8× 80 0.7× 172 1.5× 31 0.3× 37 0.4× 47 599

Countries citing papers authored by Vishal Verma

Since Specialization
Citations

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

Fields of papers citing papers by Vishal Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishal Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Vishal Verma. A scholar is included among the top collaborators of Vishal Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vishal Verma. Vishal Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Doddapaneni, Tharaka Rama Krishna C., et al.. (2025). Integrated biofuel production from rice husk and rice straw via torrefaction and anaerobic digestion: Optimization and economic viability. Energy Conversion and Management. 340. 119952–119952. 3 indexed citations
2.
Verma, Vishal, et al.. (2025). An integral approach to quantifying equivalent clean airflow rates of indoor air cleaning devices from pollutant injection and decay tests. Building and Environment. 285. 113632–113632. 1 indexed citations
3.
Verma, Vishal, et al.. (2024). EMOTION AI: UNDERSTANDING EMOTIONS THROUGH ARTIFICIAL INTELLIGENCE. 14(Special Issue 1). 223–232. 1 indexed citations
4.
Verma, Vishal, et al.. (2024). Organic/metallic component analysis of lignocellulosic biomass: A thermochemical-perspective-based study on rice and bamboo waste. Bioresource Technology. 403. 130835–130835. 12 indexed citations
5.
Verma, Vishal & Kumar Shalender. (2024). A triad ensemble learning framework for forecasting disengagement behaviour among employees using machine learning (ML) algorithms. International Journal of Information Technology. 16(5). 3001–3007. 3 indexed citations
6.
Verma, Vishal, et al.. (2023). An Efficient Rainfall Prediction Model Using Deep Learning Method. 566–572. 1 indexed citations
7.
Viswanathan, Gayatri, Vishal Verma, Bunushree Behera, et al.. (2023). Biochar production and its environmental applications: Recent developments and machine learning insights. Bioresource Technology. 387. 129634–129634. 41 indexed citations
8.
Verma, Vishal, et al.. (2023). An Evolutionary Fake News Detection Based on Tropical Convolutional Neural Networks (TCNNs) Approach. International Journal of Scientific Research in Science and Technology. 266–286. 1 indexed citations
9.
Verma, Vishal, Deepali Gupta, Sheifali Gupta, et al.. (2022). A Deep Learning-Based Intelligent Garbage Detection System Using an Unmanned Aerial Vehicle. Symmetry. 14(5). 960–960. 40 indexed citations
10.
Cheesman, Matthew James, Sean Alcorn, Vishal Verma, & Ian Edwin Cock. (2021). An assessment of the growth inhibition profiles of Hamamelis virginiana L. extracts against Streptococcus and Staphylococcus spp.. Journal of Traditional and Complementary Medicine. 11(5). 457–465. 17 indexed citations
11.
Verma, Vishal. (2019). Blockchain Technology: Systematic Review of Security and Privacy Problems and Its Scope with Internet of Things (IoT). 7(1). 24–28. 2 indexed citations
12.
Verma, Vishal. (2019). Blockchain Technology: Systematic Review of Security and Privacy Problems and Its Scope with Cloud Computing. 7(1). 1–6. 2 indexed citations
13.
Gong, Yunchao, Sanjiv Kumar, Vishal Verma, & Svetlana Lazebnik. (2012). Angular Quantization-based Binary Codes for Fast Similarity Search. Neural Information Processing Systems. 25. 1196–1204. 73 indexed citations
14.
Millman, David L. & Vishal Verma. (2011). A Slow Algorithm for Computing the Gabriel Graph with Double Precision. Canadian Conference on Computational Geometry. 3 indexed citations
15.
Bose, Prosenjit, Luc Devroye, Maarten Löffler, Jack Snoeyink, & Vishal Verma. (2010). Almost all Delaunay triangulations have stretch factor greater than π/2. Computational Geometry. 44(2). 121–127. 14 indexed citations
16.
Verma, Vishal, et al.. (2010). 3D RENDERING - TECHNIQUES AND CHALLENGES. 2 indexed citations
17.
Bose, Prosenjit, et al.. (2009). The spanning ratio of the Delaunay triangulation is greater than = 2. Canadian Conference on Computational Geometry. 5 indexed citations
18.
Bose, Prosenjit, Luc Devroye, Maarten Löffler, Jack Snoeyink, & Vishal Verma. (2009). The spanning ratio of the Delaunay triangulation is greater than pi/2.. Canadian Conference on Computational Geometry. 165–167. 15 indexed citations
19.
Mishra, Susmita, et al.. (2000). 10.51847/CveQ4ah. Time to knit. 6(3). 962–969. 15 indexed citations
20.
Verma, Vishal, et al.. (1997). Ethanol production from wheat starch.. Indian Journal of Microbiology. 37(1). 49–50. 2 indexed citations

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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