Brian Jalaian

993 total citations
49 papers, 558 citations indexed

About

Brian Jalaian is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Brian Jalaian has authored 49 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Brian Jalaian's work include Advanced MIMO Systems Optimization (11 papers), Cooperative Communication and Network Coding (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Brian Jalaian is often cited by papers focused on Advanced MIMO Systems Optimization (11 papers), Cooperative Communication and Network Coding (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Brian Jalaian collaborates with scholars based in United States, Taiwan and China. Brian Jalaian's co-authors include Xiaozhu Liu, Rongbo Zhu, Ninghao Liu, Y. Thomas Hou, Jundong Li, Yushun Dong, Wenjing Lou, Stephen Russell, Adam D. Cobb and Swagatam Das and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

In The Last Decade

Brian Jalaian

47 papers receiving 542 citations

Peers

Brian Jalaian
Virginia Smith United States
Davood Hajinezhad United States
Zhaohui Cai China
Hadi Shahriar Shahhoseini Iran
He Fang China
Youcheng Sun United Kingdom
Tiande Guo China
Xiao Fu China
Longjun Huang China
Virginia Smith United States
Brian Jalaian
Citations per year, relative to Brian Jalaian Brian Jalaian (= 1×) peers Virginia Smith

Countries citing papers authored by Brian Jalaian

Since Specialization
Citations

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

Fields of papers citing papers by Brian Jalaian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Jalaian

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Jalaian. A scholar is included among the top collaborators of Brian Jalaian 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 Brian Jalaian. Brian Jalaian 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.
Jalaian, Brian, et al.. (2024). A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. Institutional Research Information System University of Ferrara (University of Ferrara). 1–9. 5 indexed citations
2.
Yu, Joanne, Brian Jalaian, & Nathaniel D. Bastian. (2024). Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System. Proceedings of the AAAI Symposium Series. 4(1). 110–113.
3.
Sander, Josemir W., Joanne Yu, Brian Jalaian, & Nathaniel D. Bastian. (2024). Uncertainty-Quantified Neurosymbolic AI for Open Set Recognition in Network Intrusion Detection. 13–18.
4.
Kungurtsev, Vyacheslav, et al.. (2023). Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. Machine Learning. 112(8). 2791–2819. 1 indexed citations
5.
6.
Wang, Tianshi, et al.. (2022). The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. 1082–1087. 8 indexed citations
7.
Bastian, Nathaniel D., et al.. (2021). Machine learning raw network traffic detection. 24–24. 18 indexed citations
8.
Jalaian, Brian, et al.. (2020). Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. Uncertainty in Artificial Intelligence. 719–728. 1 indexed citations
9.
Motani, Mehul, et al.. (2020). Exploring Performance Trade-offs in Tactical Edge Networks. IEEE Communications Magazine. 58(8). 28–33. 4 indexed citations
10.
Jha, Susmit, Steven Lawrence Fernandes, Sumit Kumar Jha, et al.. (2019). Attribution-Based Confidence Metric For Deep Neural Networks. Neural Information Processing Systems. 32. 11826–11837. 19 indexed citations
11.
Li, Shaoran, Yan Huang, Chengzhang Li, et al.. (2019). Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation. 71–80. 13 indexed citations
12.
Huang, Yan, Brian Jalaian, Stephen Russell, & Hooman Samani. (2018). Reaping the Benefits of Dynamic TDD in Massive MIMO. IEEE Systems Journal. 13(1). 117–124. 6 indexed citations
13.
Jalaian, Brian, et al.. (2018). On Stream-Centric Learning for Internet of Battlefield Things.. National Conference on Artificial Intelligence. 1 indexed citations
14.
Moskowitz, Ira S., Stephen Russell, & Brian Jalaian. (2018). Steganographic Internet of Things: Graph Topology Timing Channels.. National Conference on Artificial Intelligence. 252–259. 3 indexed citations
15.
Jalaian, Brian & Michael Lee. (2018). Power management for Internet of Things. 101. 3–3. 1 indexed citations
16.
Jalaian, Brian, Venkat Dasari, & Mehul Motani. (2017). A generalized optimization framework for control plane in tactical wireless networking. 986–990. 2 indexed citations
17.
Dasari, Venkat, et al.. (2017). Programmable control plane for mission critical wireless networks. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 15(2). 245–254. 1 indexed citations
18.
He, Lin, et al.. (2017). On 3D autonomous delivery systems: Design and development. 1–6. 15 indexed citations
19.
Qin, Xiaoqi, Huacheng Zeng, Xu Yuan, et al.. (2016). Impact of Full Duplex Scheduling on End-to-End Throughput in Multi-Hop Wireless Networks. IEEE Transactions on Mobile Computing. 16(1). 158–171. 18 indexed citations
20.
Liu, Xiaozhu, et al.. (2015). Dynamic Spectrum Access Algorithm Based on Game Theory in Cognitive Radio Networks. Mobile Networks and Applications. 20(6). 817–827. 38 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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2026