Rajkumar Tekchandani

919 total citations
31 papers, 584 citations indexed

About

Rajkumar Tekchandani is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Rajkumar Tekchandani has authored 31 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Rajkumar Tekchandani's work include Software Reliability and Analysis Research (6 papers), Software Engineering Research (6 papers) and Video Surveillance and Tracking Methods (6 papers). Rajkumar Tekchandani is often cited by papers focused on Software Reliability and Analysis Research (6 papers), Software Engineering Research (6 papers) and Video Surveillance and Tracking Methods (6 papers). Rajkumar Tekchandani collaborates with scholars based in India, Saudi Arabia and Taiwan. Rajkumar Tekchandani's co-authors include Neeraj Kumar, Prateek Chhikara, Mohsen Guizani, Himanshu Sharma, Rohit Joshi, Ahmed Barnawi, Bander Alzahrani, Vinay Chamola, Swadha Gupta and Mohammad Mehedi Hassan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and IEEE Internet of Things Journal.

In The Last Decade

Rajkumar Tekchandani

29 papers receiving 559 citations

Peers

Rajkumar Tekchandani

CNC

EEE

CVPR

Prateek Chhikara India

Hongxu Zhu China

Anil Kumar Budati India

Ashraf Salem Egypt

Chintan Bhatt India

Manal Abdullah Alohali Saudi Arabia

Sidheswar Routray India

Shilpa Rani India

Suparna Biswas India

Tala Talaei Khoei United States

Prateek Chhikara India

Rajkumar Tekchandani

143 ×0.8

74 ×0.5

CNC

48 ×0.4

57 ×0.5

EEE

114 ×1.0

CVPR

Citations per year, relative to Rajkumar Tekchandani Rajkumar Tekchandani (= 1×) peers Prateek Chhikara

Countries citing papers authored by Rajkumar Tekchandani

Since Specialization

Citations

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

Fields of papers citing papers by Rajkumar Tekchandani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajkumar Tekchandani

This figure shows the co-authorship network connecting the top 25 collaborators of Rajkumar Tekchandani. A scholar is included among the top collaborators of Rajkumar Tekchandani 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 Rajkumar Tekchandani. Rajkumar Tekchandani 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

Gupta, Swadha, Parteek Kumar, & Rajkumar Tekchandani. (2025). Facial emotion-based student's attention in online learning using deep learning. International Journal of Services Economics and Management. 16(4/5). 319–341.

Barnawi, Ahmed, Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, & Bander Alzahrani. (2024). A Differentially Privacy Assisted Federated Learning Scheme to Preserve Data Privacy for IoMT Applications. IEEE Transactions on Network and Service Management. 21(4). 4686–4700. 8 indexed citations

Rana, Prashant Singh, et al.. (2024). Multilevel Ensemble Model for Load Prediction on Hosts in Fog Computing Environment. Computing and Informatics. 43(5). 1053–1083.

Gupta, Swadha, Parteek Kumar, & Rajkumar Tekchandani. (2024). Artificial intelligence based cognitive state prediction in an e-learning environment using multimodal data. Multimedia Tools and Applications. 83(24). 64467–64498. 8 indexed citations

Gupta, Swadha, et al.. (2023). A multimodal facial cues based engagement detection system in e-learning context using deep learning approach. Multimedia Tools and Applications. 82(18). 28589–28615. 19 indexed citations

Chhikara, Prateek, Rajkumar Tekchandani, & Neeraj Kumar. (2023). Adaptive federated learning scheme for recognition of malicious attacks in an IoT network. Computing. 106(4). 1177–1192. 7 indexed citations

Gupta, Swadha, et al.. (2023). An optimized deep convolutional neural network for adaptive learning using feature fusion in multimodal data. Decision Analytics Journal. 8. 100277–100277. 4 indexed citations

Sharma, Himanshu, Neeraj Kumar, & Rajkumar Tekchandani. (2022). Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology. 72(2). 2439–2452. 39 indexed citations

Barnawi, Ahmed, Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, & Bander Alzahrani. (2021). Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging. Future Generation Computer Systems. 124. 119–132. 69 indexed citations

10.

Chhikara, Prateek, Rajkumar Tekchandani, Neeraj Kumar, Mohsen Guizani, & Mohammad Mehedi Hassan. (2021). Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment. IEEE Internet of Things Journal. 8(20). 15456–15467. 59 indexed citations

11.

Barnawi, Ahmed, et al.. (2021). A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning. Multimedia Systems. 29(3). 1683–1697. 9 indexed citations

12.

Chhikara, Prateek, Rajkumar Tekchandani, Neeraj Kumar, Sudeep Tanwar, & Joel J. P. C. Rodrigues. (2021). Federated Learning for Air Quality Index Prediction using UAV Swarm Networks. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 15 indexed citations

13.

Chhikara, Prateek, Rajkumar Tekchandani, Neeraj Kumar, & Sudeep Tanwar. (2021). Federated learning-based aerial image segmentation for collision-free movement and landing. 13–18. 6 indexed citations

14.

Chhikara, Prateek, et al.. (2020). Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions. Software Practice and Experience. 52(3). 658–688. 27 indexed citations

15.

Chhikara, Prateek, Rajkumar Tekchandani, Neeraj Kumar, Vinay Chamola, & Mohsen Guizani. (2020). DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment. IEEE Internet of Things Journal. 8(6). 4448–4460. 72 indexed citations

16.

Chhikara, Prateek, Rajkumar Tekchandani, Neeraj Kumar, & Mohammad S. Obaidat. (2020). An Efficient Container Management Scheme for Resource-Constrained Intelligent IoT Devices. IEEE Internet of Things Journal. 8(16). 12597–12609. 21 indexed citations

17.

Tekchandani, Rajkumar, et al.. (2020). An Energy-Efficient Cache Localization Technique for D2D Communication in IoT Environment. IEEE Internet of Things Journal. 8(6). 4816–4829. 13 indexed citations

18.

Tekchandani, Rajkumar, Rajesh Bhatia, & Maninder Singh. (2016). Semantic code clone detection for Internet of Things applications using reaching definition and liveness analysis. The Journal of Supercomputing. 74(9). 4199–4226. 14 indexed citations

19.

Tekchandani, Rajkumar, et al.. (2013). Semantic Code Clone Detection Using Parse Trees and Grammar Recovery. 1.08–1.08. 9 indexed citations

20.

Tekchandani, Rajkumar, et al.. (2013). An Efficient Code Clone Detection Model on Java Byte Code Using Hybrid Approach. 1.04–1.04. 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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