Kuldeep Narayan Tripathi

424 total citations
24 papers, 214 citations indexed

About

Kuldeep Narayan Tripathi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Kuldeep Narayan Tripathi has authored 24 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Kuldeep Narayan Tripathi's work include Vehicular Ad Hoc Networks (VANETs) (8 papers), IoT and Edge/Fog Computing (5 papers) and Opportunistic and Delay-Tolerant Networks (5 papers). Kuldeep Narayan Tripathi is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (8 papers), IoT and Edge/Fog Computing (5 papers) and Opportunistic and Delay-Tolerant Networks (5 papers). Kuldeep Narayan Tripathi collaborates with scholars based in India, Saudi Arabia and Hungary. Kuldeep Narayan Tripathi's co-authors include S. C. Sharma, Sparsh Sharma, K. V. Arya, Rohit Agrawal, Shabana Urooj, Gagandeep Kaur, Umesh Gupta, Nitin Arora, Rajesh Arunachalam and Rahul Neware and has published in prestigious journals such as Expert Systems with Applications, Multimedia Tools and Applications and Electronics.

In The Last Decade

Kuldeep Narayan Tripathi

20 papers receiving 204 citations

Peers

Kuldeep Narayan Tripathi

CNC

EEE

CVPR

Mohammed Laroui France

Humaira Ijaz Pakistan

Bo Lei China

Bushra Jamil Pakistan

GSS Chalapathi India

Kaushik Mishra India

Jianqun Cui China

Mona Bakri Hassan Sudan

Yuwei Xu China

Zhipeng Cheng China

Mohammed Laroui France

Kuldeep Narayan Tripathi

173 ×1.1

CNC

84 ×1.0

64 ×0.7

EEE

32 ×0.7

37 ×1.1

CVPR

Citations per year, relative to Kuldeep Narayan Tripathi Kuldeep Narayan Tripathi (= 1×) peers Mohammed Laroui

Countries citing papers authored by Kuldeep Narayan Tripathi

Since Specialization

Citations

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

Fields of papers citing papers by Kuldeep Narayan Tripathi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuldeep Narayan Tripathi. 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 Kuldeep Narayan Tripathi. The network helps show where Kuldeep Narayan Tripathi may publish in the future.

Co-authorship network of co-authors of Kuldeep Narayan Tripathi

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep Narayan Tripathi. A scholar is included among the top collaborators of Kuldeep Narayan Tripathi 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 Kuldeep Narayan Tripathi. Kuldeep Narayan Tripathi 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

Tripathi, Kuldeep Narayan, et al.. (2025). Review of herbarium plant identification of crop wild relatives using convolutional neural network models. Genetic Resources and Crop Evolution. 72(8). 9165–9178.

Urooj, Shabana, et al.. (2025). HS‐WOA: A Hybrid Metaheuristic Approach–Aided Multiobjective Constraints for Dual Cluster Head Selection in Wireless Sensor Network. International Journal of Communication Systems. 38(3). 3 indexed citations

Agrawal, Rohit, et al.. (2024). CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework. Multimedia Tools and Applications. 84(15). 15501–15526. 7 indexed citations

Singh, Vinay Kumar, et al.. (2024). Privacy-preserving cross-domain recommendation using hybrid federated transfer learning. Multimedia Tools and Applications. 84(18). 19343–19377.

Agrawal, Rohit, et al.. (2024). A secure image authentication technique based on sparse approximation and quantum mechanism. Digital Signal Processing. 147. 104419–104419. 4 indexed citations

Urooj, Shabana, et al.. (2024). An effective model for network selection and resource allocation in 5G heterogeneous network using hybrid heuristic-assisted multi-objective function. Expert Systems with Applications. 248. 123307–123307. 8 indexed citations

Tripathi, Kuldeep Narayan, Gagandeep Kaur, Nitin Arora, & Rohit Agrawal. (2023). An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression. Journal of Grid Computing. 21(3). 3 indexed citations

Tripathi, Kuldeep Narayan, et al.. (2023). ReTrust: reliability and recommendation trust-based scheme for secure data sharing among internet of vehicles (IoV). Wireless Networks. 29(6). 2551–2575. 7 indexed citations

Tripathi, Kuldeep Narayan, et al.. (2022). TREE: Trust-Based Authenticated and Secure Dissemination of Emergency Event Information for the Network of Connected Vehicles. Arabian Journal for Science and Engineering. 47(8). 10689–10717. 8 indexed citations

10.

Tripathi, Kuldeep Narayan, et al.. (2022). Handling research issues for big data extraction in the application of Internet of Vehicles (IoV). International Journal of Systems Assurance Engineering and Management. 13(S1). 751–756. 1 indexed citations

11.

Tripathi, Kuldeep Narayan, et al.. (2022). An Opposition-Based Hybrid Evolutionary Approach for Task Scheduling in Fog Computing Network. Arabian Journal for Science and Engineering. 48(2). 1547–1562. 19 indexed citations

12.

Tripathi, Kuldeep Narayan, et al.. (2022). Fuzzy and Deep Belief Network Based Malicious Vehicle Identification and Trust Recommendation Framework in VANETs. Wireless Personal Communications. 124(3). 2475–2504. 14 indexed citations

13.

Tripathi, Kuldeep Narayan, et al.. (2021). A bi-objective task scheduling approach in fog computing using hybrid fireworks algorithm. The Journal of Supercomputing. 78(3). 4236–4260. 53 indexed citations

14.

Tripathi, Kuldeep Narayan, et al.. (2021). DDOS: data dissemination with optimized and secured path using modified particle swarm optimization in vehicular communication network (VCN). International Journal of Information Technology. 14(4). 1855–1868. 8 indexed citations

15.

Tripathi, Kuldeep Narayan, et al.. (2021). An enhanced multi-objective fireworks algorithm for task scheduling in fog computing environment. Cluster Computing. 25(2). 983–998. 25 indexed citations

16.

Tripathi, Kuldeep Narayan, et al.. (2020). Emendation of performance in dairy animals using modified roof: A review. Journal of Entomology and Zoology Studies. 8(3). 1007–1011. 2 indexed citations

17.

Tripathi, Kuldeep Narayan, et al.. (2020). A Review: IMPACT of Floor Type and Bedding Materials on Performance of Dairy Animals. International Journal of Current Microbiology and Applied Sciences. 9(5). 1524–1534.

18.

Tripathi, Kuldeep Narayan, et al.. (2020). DOSP: Data Dissemination with Optimized and Secured Path for Ad-hoc Vehicular Communication Networks. 121–128. 4 indexed citations

19.

Tripathi, Kuldeep Narayan & S. C. Sharma. (2019). A trust based model (TBM) to detect rogue nodes in vehicular ad-hoc networks (VANETS). International Journal of Systems Assurance Engineering and Management. 11(2). 426–440. 29 indexed citations

20.

Tripathi, Kuldeep Narayan, et al.. (2018). Analysis of Various Trust based Security Algoithm for the Vehicular AD-HOC Network. 1546–1551. 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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