Ankit Verma

632 total citations
50 papers, 353 citations indexed

About

Ankit Verma is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ankit Verma has authored 50 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Ankit Verma's work include Energy Efficient Wireless Sensor Networks (6 papers), IoT and Edge/Fog Computing (5 papers) and Mobile Ad Hoc Networks (5 papers). Ankit Verma is often cited by papers focused on Energy Efficient Wireless Sensor Networks (6 papers), IoT and Edge/Fog Computing (5 papers) and Mobile Ad Hoc Networks (5 papers). Ankit Verma collaborates with scholars based in India, South Korea and Italy. Ankit Verma's co-authors include C.P. Ravikumar, Lovekesh Vig, Ramya Hebbalaguppe, Ehtesham Hassan, Gaurav Agarwal, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Arun Kumar Yadav, Divakar Yadav, Amit Prakash Singh and Mangal Sain and has published in prestigious journals such as International Journal of Production Research, SAE technical papers on CD-ROM/SAE technical paper series and Applied Sciences.

In The Last Decade

Ankit Verma

43 papers receiving 319 citations

Peers

Ankit Verma
Ankit Verma
Citations per year, relative to Ankit Verma Ankit Verma (= 1×) peers Haonan Wang

Countries citing papers authored by Ankit Verma

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Verma. A scholar is included among the top collaborators of Ankit 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 Ankit Verma. Ankit 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.
Verma, Ankit, et al.. (2025). Whale Optimization and AutoML for Precise Phishing Detection. Journal of Mobile Multimedia.
2.
Verma, Ankit, et al.. (2024). A Secure Healthcare Monitoring System for Disease Diagnosis in the IoT Environment. Multimedia Tools and Applications. 84(7). 3767–3792. 2 indexed citations
3.
Jain, Rahul, et al.. (2024). Recent advances in copper kesterite thin film photocathodes for hydrogen production via water splitting: A review. Materials Today Proceedings. 1 indexed citations
4.
5.
Kumar, Sanjay, Rohit Jasrotia, Pooja Puri, et al.. (2024). A New Class of Multifunctional CoDyzFe2−zO4 Magnetic Nanomaterials: Influence of Structural, Morphological, Optical, Magnetic, Antibacterial, and Photocatalytic Traits. ECS Journal of Solid State Science and Technology. 13(7). 77004–77004. 5 indexed citations
6.
Kumar, Vinay, et al.. (2023). A systematic meta-analysis of blockchain technology for educational sector and its advancements towards education 4.0. Education and Information Technologies. 28(10). 13841–13867. 22 indexed citations
7.
Verma, Ankit, et al.. (2023). Path reader and intelligent lane navigator by autonomous vehicle. Paladyn Journal of Behavioral Robotics. 14(1).
8.
Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Amit Kumar, et al.. (2023). Predictive Breast Cancer Statistical Modelling for Early Diagnosis. Journal of Magnetics. 28(4). 530–543.
9.
12.
Yadav, Arun Kumar, et al.. (2022). Extractive text summarization using deep learning approach. International Journal of Information Technology. 14(5). 2407–2415. 46 indexed citations
13.
Verma, Ankit, Gaurav Agarwal, & Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬. (2022). A novel generalized fuzzy intelligence-based ant lion optimization for internet of things based disease prediction and diagnosis. Cluster Computing. 25(5). 3283–3298. 12 indexed citations
14.
Verma, Ankit, Gaurav Agarwal, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, & Mangal Sain. (2022). An Optimized Neuro_Fuzzy Based Regression Trees for Disease Prediction Framework. Applied Sciences. 12(17). 8487–8487. 1 indexed citations
16.
Gupta, Amit Kumar, et al.. (2021). A Fuzzy Based Handover Decision Scheme for Mobile Devices Using Predictive Model. Electronics. 10(16). 2016–2016. 11 indexed citations
17.
Verma, Ankit & Lovekesh Vig. (2018). ACF Based Feature Extraction and Mixture of Expert CNNs for Pedestrian Detection. 10(4). 90–97. 1 indexed citations
18.
Kumar, Vikas, Nishikant Mishra, Felix T.S. Chan, & Ankit Verma. (2011). Managing warehousing in an agile supply chain environment: an F-AIS algorithm based approach. International Journal of Production Research. 49(21). 6407–6426. 20 indexed citations
19.
Verma, Ankit, et al.. (2011). Comprehensive Analysis of Web Log Files for Mining. 6 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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