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
Comparison fields: 5 of 74
  • Computer Networks and Communications 238
  • Artificial Intelligence 217
  • Electrical and Electronic Engineering 182
  • Computer Vision and Pattern Recognition 61
  • Information Systems 52
Replace Virginia Smith with:
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Hadi Shahriar Shahhoseini Iran
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Virginia Smith United States View profile →
Citations per field, relative to Brian Jalaian
Brian Jalaian · 1×
Citations per year, relative to Brian Jalaian
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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
# Work Indexed citations
1 5
2 0
3 0
4 1
5 2
6 8
7 18
8
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
1
9 4
10
Attribution-Based Confidence Metric For Deep Neural Networks
19
11 13
12 6
13
On Stream-Centric Learning for Internet of Battlefield Things.
1
14
Steganographic Internet of Things: Graph Topology Timing Channels.
3
15 1
16 2
17 1
18 15
19 18
20 38

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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