Raghvendra Kumar

5.1k total citations
131 papers, 2.8k citations indexed

About

Raghvendra Kumar is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Raghvendra Kumar has authored 131 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Networks and Communications, 29 papers in Information Systems and 28 papers in Artificial Intelligence. Recurrent topics in Raghvendra Kumar's work include IoT and Edge/Fog Computing (15 papers), Opportunistic and Delay-Tolerant Networks (11 papers) and Mobile Ad Hoc Networks (11 papers). Raghvendra Kumar is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Opportunistic and Delay-Tolerant Networks (11 papers) and Mobile Ad Hoc Networks (11 papers). Raghvendra Kumar collaborates with scholars based in India, Vietnam and United States. Raghvendra Kumar's co-authors include Lê Hoàng Sơn, Ishaani Priyadarshini, Harold Robinson, E. Golden Julie, Rohit Sharma, Pham Huy Thong, Hoang Viet Long, Chandrakanta Mahanty, Hoàng Việt Long and K. Saravanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Raghvendra Kumar

123 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raghvendra Kumar India 31 849 633 505 416 304 131 2.8k
Karl Andersson Sweden 31 855 1.0× 1.0k 1.6× 996 2.0× 425 1.0× 282 0.9× 200 3.5k
S. Neelakandan India 30 754 0.9× 743 1.2× 448 0.9× 519 1.2× 145 0.5× 75 2.5k
Manoj Kumar India 31 834 1.0× 726 1.1× 625 1.2× 431 1.0× 126 0.4× 236 3.0k
Ashutosh Sharma India 35 928 1.1× 763 1.2× 894 1.8× 585 1.4× 79 0.3× 134 3.5k
Osamah Ibrahim Khalaf Iraq 38 1.7k 2.0× 873 1.4× 941 1.9× 974 2.3× 224 0.7× 151 4.4k
Pradeep Kumar Singh India 30 1.1k 1.3× 722 1.1× 759 1.5× 522 1.3× 82 0.3× 171 3.3k
Tanupriya Choudhury India 22 597 0.7× 623 1.0× 582 1.2× 280 0.7× 71 0.2× 333 2.5k
Nitin Goyal India 30 1.0k 1.2× 365 0.6× 340 0.7× 681 1.6× 257 0.8× 126 2.7k
Ahmed Alkhayyat Iraq 29 1.0k 1.2× 676 1.1× 559 1.1× 863 2.1× 101 0.3× 419 3.4k
Sharnil Pandya India 28 590 0.7× 1.0k 1.6× 411 0.8× 262 0.6× 72 0.2× 61 2.8k

Countries citing papers authored by Raghvendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Raghvendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raghvendra Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Raghvendra Kumar. A scholar is included among the top collaborators of Raghvendra Kumar 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 Raghvendra Kumar. Raghvendra Kumar 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.
Kumar, Raghvendra, et al.. (2024). Silver Lining in the Fake News Cloud: Can Large Language Models Help Detect Misinformation?. IEEE Transactions on Artificial Intelligence. 6(1). 14–24. 8 indexed citations
2.
Sahu, Binod Kumar, Pradipta Kumar Das, & Raghvendra Kumar. (2023). A modified cuckoo search algorithm implemented with SCA and PSO for multi-robot cooperation and path planning. Cognitive Systems Research. 79. 24–42. 32 indexed citations
3.
Patro, S. Gopal Krishna, et al.. (2023). A Conscious Cross-Breed Recommendation Approach Confining Cold-Start in Electronic Commerce Systems. IEEE Access. 11. 82857–82870. 2 indexed citations
4.
Kumar, Raghvendra, et al.. (2023). Internet-of-Things-Based Sensor Module for Respiratory Tracking System. IEEE Sensors Journal. 23(16). 18664–18674. 4 indexed citations
5.
Kumar, Raghvendra, Preeti Rani, Rohit Sharma, et al.. (2022). Quality‐enabled decentralized dynamic IoT platform with scalable resources integration. IET Communications. 19(1). 37 indexed citations
6.
Kumar, Raghvendra, et al.. (2022). A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews. Mathematics. 10(9). 1568–1568. 23 indexed citations
7.
Kumar, Raghvendra, et al.. (2022). Movie Popularity and Target Audience Prediction Using the Content-Based Recommender System. IEEE Access. 10. 42044–42060. 32 indexed citations
8.
Rokbani, Nizar, Raghvendra Kumar, Adel M. Alimi, et al.. (2022). Impacts of heuristic parameters in PSO inverse kinematics solvers. International Journal of Nonlinear Sciences and Numerical Simulation. 23(6). 833–858. 4 indexed citations
9.
Priyadarshini, Ishaani, et al.. (2022). A Novel Cloud Architecture for Internet of Space Things (IoST). IEEE Access. 10. 15118–15134. 8 indexed citations
10.
Altameem, Ayman, Chandrakanta Mahanty, Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar, & Raghvendra Kumar. (2022). Breast Cancer Detection in Mammography Images Using Deep Convolutional Neural Networks and Fuzzy Ensemble Modeling Techniques. Diagnostics. 12(8). 1812–1812. 55 indexed citations
11.
Roy, Sharmistha, Ramesh Chandra Poonia, Raghvendra Kumar, et al.. (2022). Multi-Criteria Usability Evaluation of mHealth Applications on Type 2 Diabetes Mellitus Using Two Hybrid MCDM Models: CODAS-FAHP and MOORA-FAHP. Applied Sciences. 12(9). 4156–4156. 18 indexed citations
12.
Saravanan, K., et al.. (2021). A novel Z-source boost derived hybrid converter for PV applications. Analog Integrated Circuits and Signal Processing. 109(2). 283–299. 3 indexed citations
13.
Roy, Sharmistha, Ramesh Chandra Poonia, Soumya Ranjan Nayak, et al.. (2021). Evaluating the Usability of mHealth Applications on Type 2 Diabetes Mellitus Using Various MCDM Methods. Healthcare. 10(1). 4–4. 21 indexed citations
14.
Mahanty, Chandrakanta, Raghvendra Kumar, Panagiotis G. Asteris, & Amir H. Gandomi. (2021). COVID-19 Patient Detection Based on Fusion of Transfer Learning and Fuzzy Ensemble Models Using CXR Images. Applied Sciences. 11(23). 11423–11423. 34 indexed citations
15.
Dansana, Debabrata, et al.. (2021). Using Susceptible-Exposed-Infectious-Recovered Model to Forecast Coronavirus Outbreak. Computers, materials & continua/Computers, materials & continua (Print). 67(2). 1595–1612. 7 indexed citations
16.
Bhoi, Sourav Kumar, Kalyan Kumar Jena, Sanjaya Kumar Panda, et al.. (2020). An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection. Microprocessors and Microsystems. 80. 103607–103607. 55 indexed citations
17.
Ha, Duong Hai, Mohammadtaghi Avand, Abolfazl Jaafari, et al.. (2020). Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping. Applied Sciences. 10(7). 2469–2469. 121 indexed citations
18.
Priyadarshini, Ishaani, Raghvendra Kumar, Lê Hoàng Sơn, et al.. (2020). Analysis of Outbreak and Global Impacts of the COVID-19. Healthcare. 8(2). 148–148. 40 indexed citations
19.
Kumar, Raghvendra. (2016). Survey of LEACH Protocol for Sensor Network. Journal of Data Science. 1(1). 6. 1 indexed citations
20.
Kumar, Raghvendra, et al.. (2013). Modified Distributed Rk Secure Sum Protocol. International Journal of Innovative Research in Science Engineering and Technology. 2(3). 734–736. 1 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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