Christopher G. Brinton

3.1k total citations · 2 hit papers
146 papers, 1.8k citations indexed

About

Christopher G. Brinton is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Christopher G. Brinton has authored 146 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Artificial Intelligence, 49 papers in Electrical and Electronic Engineering and 41 papers in Computer Networks and Communications. Recurrent topics in Christopher G. Brinton's work include Privacy-Preserving Technologies in Data (44 papers), Online Learning and Analytics (24 papers) and Stochastic Gradient Optimization Techniques (18 papers). Christopher G. Brinton is often cited by papers focused on Privacy-Preserving Technologies in Data (44 papers), Online Learning and Analytics (24 papers) and Stochastic Gradient Optimization Techniques (18 papers). Christopher G. Brinton collaborates with scholars based in United States, Canada and South Korea. Christopher G. Brinton's co-authors include Mung Chiang, David J. Love, Seyyedali Hosseinalipour, Carlee Joe‐Wong, Liangqi Yuan, Ziran Wang, Felix Ming Fai Wong, Tsung-Yen Yang, Zhenming Liu and Shaili Jain and has published in prestigious journals such as IEEE Transactions on Information Theory, Social Science & Medicine and IEEE Transactions on Signal Processing.

In The Last Decade

Christopher G. Brinton

134 papers receiving 1.7k citations

Hit Papers

align trajectories

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.

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges

2023 89 citations Liangqi Yuan, Christopher G. Brinton et al. profile →
Decentralized Federated Learning: A Survey and Perspective

2024 88 citations Liangqi Yuan, Christopher G. Brinton et al. 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						Papers	Cites
Christopher G. Brinton United States	22	876	626	440	356	289	146	1.8k
Nickolas Falkner Australia	20	342 0.4×	539 0.9×	1.3k 3.1×	592 1.7×	405 1.4×	81	2.4k
Zongkai Yang China	22	284 0.3×	232 0.4×	600 1.4×	405 1.1×	195 0.7×	145	1.6k
David J. Malan United States	16	432 0.5×	534 0.9×	1.4k 3.3×	329 0.9×	438 1.5×	65	2.6k
Xiaoming Wang China	25	475 0.5×	218 0.3×	1.1k 2.5×	291 0.8×	426 1.5×	135	2.2k
Ram Mohana Reddy Guddeti India	25	567 0.6×	140 0.2×	765 1.7×	163 0.5×	844 2.9×	137	2.0k
A.S. Pomportsis Greece	20	264 0.3×	178 0.3×	930 2.1×	828 2.3×	111 0.4×	130	1.9k
Norisma Idris Malaysia	22	1.6k 1.8×	125 0.2×	77 0.2×	92 0.3×	287 1.0×	77	2.1k
Lam For Kwok Hong Kong	21	380 0.4×	126 0.2×	736 1.7×	73 0.2×	453 1.6×	94	1.3k
Dave Towey China	21	462 0.5×	145 0.2×	425 1.0×	75 0.2×	874 3.0×	161	2.2k
Félix J. García Clemente Spain	20	461 0.5×	69 0.1×	673 1.5×	328 0.9×	309 1.1×	97	1.4k

Countries citing papers authored by Christopher G. Brinton

Since Specialization

Citations

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

Fields of papers citing papers by Christopher G. Brinton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Brinton. 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 Christopher G. Brinton. The network helps show where Christopher G. Brinton may publish in the future.

Co-authorship network of co-authors of Christopher G. Brinton

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher G. Brinton. A scholar is included among the top collaborators of Christopher G. Brinton 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 Christopher G. Brinton. Christopher G. Brinton 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

Yuan, Liangqi, Dong-Jun Han, Shiqiang Wang, & Christopher G. Brinton. (2025). Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. 201–210. 1 indexed citations

Das, Anindya Bijoy, et al.. (2025). Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning. 34. 2004–2019. 1 indexed citations

Das, Anindya Bijoy, et al.. (2025). Multi-Agent Reinforcement Learning for Graph Discovery in D2D-Enabled Federated Learning. IEEE Journal of Selected Topics in Signal Processing. 19(7). 1525–1541. 1 indexed citations

Pathirana, Pubudu N., Mayuri Wijayasundara, Sujeeva Setunge, et al.. (2025). Federated Learning for Cyber Physical Systems: A Comprehensive Survey. IEEE Communications Surveys & Tutorials. 28. 3751–3790. 5 indexed citations

Wang, Sihua, et al.. (2025). Graph Neural Networks for the Optimization of Collaborative Federated Learning Energy Efficiency. IEEE Transactions on Mobile Computing. 24(11). 12049–12060. 1 indexed citations

Yuan, Liangqi, et al.. (2024). FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. 287–292. 6 indexed citations

Morabito, Roberto, et al.. (2024). Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. IEEE/ACM Transactions on Networking. 32(5). 4365–4381. 5 indexed citations

Brinton, Christopher G., et al.. (2024). The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks. 1679–1684.

Hosseinalipour, Seyyedali, et al.. (2024). Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. IEEE Transactions on Emerging Topics in Computing. 13(2). 451–466. 4 indexed citations

10.

Han, Dong-Jun, et al.. (2024). Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. 1548–1557. 2 indexed citations

11.

Wang, Sihua, et al.. (2024). A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design. 3598–3603. 2 indexed citations

12.

Han, Dong-Jun, et al.. (2024). Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis. 268–273. 4 indexed citations

13.

Han, Dong-Jun, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, & Christopher G. Brinton. (2024). Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks. 2992–2997. 1 indexed citations

14.

Brinton, Christopher G., et al.. (2023). Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks. IEEE Internet of Things Journal. 10(12). 10845–10856. 7 indexed citations

15.

Love, David J., et al.. (2023). Challenges and Opportunities for Beyond-5G Wireless Security. IEEE Security & Privacy. 21(5). 55–66. 10 indexed citations

16.

Wang, Sihua, Mingzhe Chen, Christopher G. Brinton, et al.. (2023). Performance Optimization for Variable Bitwidth Federated Learning in Wireless Networks. IEEE Transactions on Wireless Communications. 23(3). 2340–2356. 24 indexed citations

17.

Krogmeier, James V., et al.. (2022). AGAPECert: An Auditable, Generalized, Automated, Privacy-Enabling Certification Framework With Oblivious Smart Contracts. IEEE Transactions on Dependable and Secure Computing. 20(4). 3269–3286. 1 indexed citations

18.

Liu, Shengxin, Carlee Joe‐Wong, Jiasi Chen, et al.. (2020). Economic Viability of a Virtual ISP. IEEE/ACM Transactions on Networking. 28(2). 902–916. 2 indexed citations

19.

Brinton, Christopher G., et al.. (2020). Network-Aware Optimization of Distributed Learning for Fog Computing. 2509–2518. 48 indexed citations

20.

Brinton, Christopher G., Liang Zheng, Da Cao, et al.. (2018). On the Efficiency of Online Social Learning Networks. IEEE/ACM Transactions on Networking. 26(5). 2076–2089. 15 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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