Chaman Verma

1.9k total citations
121 papers, 980 citations indexed

About

Chaman Verma is a scholar working on Information Systems, Computer Networks and Communications and Computer Science Applications. According to data from OpenAlex, Chaman Verma has authored 121 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 28 papers in Computer Networks and Communications and 26 papers in Computer Science Applications. Recurrent topics in Chaman Verma's work include Online Learning and Analytics (25 papers), IoT and Edge/Fog Computing (17 papers) and Blockchain Technology Applications and Security (14 papers). Chaman Verma is often cited by papers focused on Online Learning and Analytics (25 papers), IoT and Edge/Fog Computing (17 papers) and Blockchain Technology Applications and Security (14 papers). Chaman Verma collaborates with scholars based in India, Hungary and Romania. Chaman Verma's co-authors include Zoltán Illés, Veronika Stoffová, Maria Simona Raboacă, S. B. Goyal, Traian Candin Mihălţan, Anand Singh Rajawat, Deepak Kumar, Arpit Jain, Ahmad S. Tarawneh and Neeraj Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Chaman Verma

111 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaman Verma India	19	248	215	188	184	137	121	980
Deepti Mehrotra India	16	152 0.6×	311 1.4×	240 1.3×	109 0.6×	112 0.8×	130	1.1k
Abdulrahman Altalhi Saudi Arabia	18	175 0.7×	344 1.6×	152 0.8×	84 0.5×	76 0.6×	52	870
Hwa‐Young Jeong South Korea	16	222 0.9×	163 0.8×	236 1.3×	65 0.4×	94 0.7×	87	732
Henda Ben Ghézala Tunisia	11	184 0.7×	214 1.0×	222 1.2×	70 0.4×	105 0.8×	113	795
Mutasem K. Alsmadi Saudi Arabia	27	388 1.6×	359 1.7×	455 2.4×	69 0.4×	306 2.2×	109	1.9k
Faouzi Kamoun United Arab Emirates	17	254 1.0×	200 0.9×	239 1.3×	39 0.2×	126 0.9×	66	966
Tranos Zuva South Africa	13	93 0.4×	165 0.8×	173 0.9×	56 0.3×	103 0.8×	93	758
Jason C. Hung Taiwan	17	117 0.5×	340 1.6×	149 0.8×	56 0.3×	206 1.5×	117	966
Marjan Gušev North Macedonia	17	715 2.9×	219 1.0×	616 3.3×	136 0.7×	125 0.9×	233	1.4k
Andreas L. Symeonidis Greece	19	184 0.7×	316 1.5×	480 2.6×	53 0.3×	105 0.8×	159	1.2k

Countries citing papers authored by Chaman Verma

Since Specialization

Citations

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

Fields of papers citing papers by Chaman Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaman Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Chaman Verma. A scholar is included among the top collaborators of Chaman 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 Chaman Verma. Chaman Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kumar, Deepak, et al.. (2025). LivXAI-Net: An explainable AI framework for liver disease diagnosis with IoT-based real-time monitoring support. Computer Methods and Programs in Biomedicine. 270. 108950–108950. 2 indexed citations

Verma, Chaman, Zoltán Illés, & Deepak Kumar. (2024). TCLPI: Machine Learning-Driven Framework for Hybrid Learning Mode Identification. IEEE Access. 12. 98029–98045. 2 indexed citations

Kumar, Deepak, et al.. (2024). Revolutionizing Text Summarization: A Comprehensive Comparative Analysis of NLP-Based Models. 1–5.

Kumar, Adesh, et al.. (2024). Sequential logic circuit gold codes for electronics and communication technologies. MethodsX. 12. 102602–102602. 3 indexed citations

Verma, Chaman, Zoltán Illés, & Deepak Kumar. (2024). An investigation of novel features for predicting student happiness in hybrid learning platforms – An exploration using experiments on trace data. International Journal of Information Management Data Insights. 4(1). 100219–100219. 6 indexed citations

Kumar, Deepak, et al.. (2023). goldenAGER: A Personalized Feature Fusion Activity Recognition Model for Elderly. IEEE Access. 11. 56766–56784. 13 indexed citations

Mohammed, Amin Salih, et al.. (2022). A Novel Energy Efficient Threshold Based Algorithm for Wireless Body Sensor Network. Energies. 15(16). 6095–6095. 12 indexed citations

Jain, Arpit, et al.. (2022). Improved Security of E-Healthcare Images Using Hybridized Robust Zero-Watermarking and Hyper-Chaotic System along with RSA. Mathematics. 10(7). 1071–1071. 26 indexed citations

Goyal, S. B., et al.. (2022). Blockchain‐Based Privacy‐Preserving Approach Using SVML for Encrypted Smart City Data in the Era of IR 4.0. Journal of Nanomaterials. 2022(1). 2 indexed citations

10.

Kathole, Atul B., Neha Tyagi, S. B. Goyal, et al.. (2022). Improved Secure Encryption with Energy Optimization Using Random Permutation Pseudo Algorithm Based on Internet of Thing in Wireless Sensor Networks. Energies. 16(1). 8–8. 32 indexed citations

11.

Goyal, S. B., et al.. (2022). Machine Learning Human Behavior Detection Mechanism Based on Python Architecture. Mathematics. 10(17). 3159–3159. 3 indexed citations

12.

Verma, Chaman, et al.. (2022). Super Resolution for Noisy Images Using Convolutional Neural Networks. Mathematics. 10(5). 777–777. 6 indexed citations

13.

Marwaha, Sanjay, et al.. (2022). Cogging Torque Minimization of PMBLDC Motor for Application in Battery Electric Vehicle. Journal of Electrical Engineering and Technology. 18(3). 1733–1743. 1 indexed citations

14.

Venkatesan, C., et al.. (2022). Secure Routing-Based Energy Optimization for IoT Application with Heterogeneous Wireless Sensor Networks. Energies. 15(13). 4777–4777. 49 indexed citations

15.

Verma, Chaman, et al.. (2021). Comparative Study of Technology With Student’s Perceptions in Indian and Hungarian Universities for Real-Time: Preliminary Results. IEEE Access. 9. 22824–22843. 6 indexed citations

16.

Kumar, Deepak, Chaman Verma, Pradeep Kumar Singh, et al.. (2021). Computational Statistics and Machine Learning Techniques for Effective Decision Making on Student’s Employment for Real-Time. Mathematics. 9(11). 1166–1166. 13 indexed citations

17.

Verma, Chaman, et al.. (2020). Opinion Prediction of Hungarian Students for Real-Time E-Learning Systems: A Futuristic Sustainable Technology-Based Solution. Sustainability. 12(16). 6321–6321. 13 indexed citations

18.

Verma, Chaman, Zoltán Illés, & Veronika Stoffová. (2020). Identifying technology features impacted attitude of Indian students using regression modeling for real-time system. Materials Today Proceedings. 42. 297–303. 2 indexed citations

19.

Verma, Chaman, et al.. (2019). Gender Prediction of Indian and Hungarian Students Towards ICT and Mobile Technology for the Real-Time. International Journal of Innovative Technology and Exploring Engineering. 8(9S3). 1260–1264. 7 indexed citations

20.

Verma, Chaman, et al.. (2016). Gender difference towards information and communication technology awareness in Indian universities. SpringerPlus. 5(1). 370–370. 34 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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