Bimal Ghimire

540 total citations · 1 hit paper
9 papers, 377 citations indexed

About

Bimal Ghimire is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Bimal Ghimire has authored 9 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Bimal Ghimire's work include Privacy-Preserving Technologies in Data (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Blockchain Technology Applications and Security (3 papers). Bimal Ghimire is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers) and Blockchain Technology Applications and Security (3 papers). Bimal Ghimire collaborates with scholars based in United States, Nepal and India. Bimal Ghimire's co-authors include Danda B. Rawat, Jiang Li, Abdul Rahman, Soumya K. Ghosh and Shrutilipi Bhattacharjee and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal and IEEE Network.

In The Last Decade

Bimal Ghimire

8 papers receiving 364 citations

Hit Papers

Recent Advances on Federated Learning for Cybersecurity a... 2022 2026 2023 2024 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things
    2022 297 citations Bimal Ghimire, Danda B. Rawat IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bimal Ghimire United States 6 255 167 112 88 43 9 377
Bong Jun Ko United States 10 272 1.1× 255 1.5× 72 0.6× 119 1.4× 34 0.8× 31 524
Zhuoqun Xia China 12 129 0.5× 177 1.1× 92 0.8× 133 1.5× 15 0.3× 41 366
Tianhan Gao China 11 175 0.7× 183 1.1× 137 1.2× 221 2.5× 17 0.4× 45 374
Tianlong Yu United States 9 163 0.6× 373 2.2× 135 1.2× 70 0.8× 153 3.6× 14 486
S. Chithra India 10 84 0.3× 161 1.0× 77 0.7× 65 0.7× 30 0.7× 30 295
Xueming Si China 9 157 0.6× 97 0.6× 170 1.5× 46 0.5× 29 0.7× 39 347
Guangxue Zhang China 4 101 0.4× 287 1.7× 132 1.2× 86 1.0× 32 0.7× 6 384
Anni Peng China 3 110 0.4× 245 1.5× 146 1.3× 56 0.6× 109 2.5× 5 367
Benamar Kadri Algeria 13 161 0.6× 222 1.3× 84 0.8× 117 1.3× 55 1.3× 33 337
Weifeng Chen United States 9 184 0.7× 257 1.5× 91 0.8× 65 0.7× 61 1.4× 25 364

Countries citing papers authored by Bimal Ghimire

Since Specialization
Citations

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

Fields of papers citing papers by Bimal Ghimire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bimal Ghimire

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

All Works

9 of 9 papers shown
1.
Ghimire, Bimal & Danda B. Rawat. (2024). A Communication-Efficient Machine Learning Framework for the Internet of Vehicles. IEEE Transactions on Cognitive Communications and Networking. 11(4). 2676–2685. 1 indexed citations
2.
Ghimire, Bimal, Danda B. Rawat, & Abdul Rahman. (2023). Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV. IEEE Internet of Things Journal. 11(9). 15310–15319. 9 indexed citations
3.
4.
Ghimire, Bimal & Danda B. Rawat. (2022). Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things. IEEE Internet of Things Journal. 9(11). 8229–8249. 297 indexed citations breakdown →
5.
Ghimire, Bimal & Danda B. Rawat. (2021). Dynamic Clustering in IoV Using Behavioral Parameters and Contention Window Adaptation. IEEE Transactions on Vehicular Technology. 71(2). 2031–2040. 11 indexed citations
6.
Ghimire, Bimal & Danda B. Rawat. (2021). Secure, Privacy Preserving, and Verifiable Federating Learning Using Blockchain for Internet of Vehicles. IEEE Consumer Electronics Magazine. 11(6). 67–74. 29 indexed citations
7.
Ghimire, Bimal, et al.. (2021). Sharding-Enabled Blockchain for Software-Defined Internet of Unmanned Vehicles in the Battlefield. IEEE Network. 35(1). 101–107. 20 indexed citations
8.
Ghimire, Bimal, Danda B. Rawat, & Abdul Rahman. (2021). Data-Driven Quickest Change Detection for Securing Federated Learning for Internet-of-Vehicles. 2021 IEEE Global Communications Conference (GLOBECOM). 1–6. 6 indexed citations
9.
Ghimire, Bimal, Shrutilipi Bhattacharjee, & Soumya K. Ghosh. (2013). Analysis of Spatial Autocorrelation for Traffic Accident Data Based on Spatial Decision Tree. 111–115. 4 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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