Ermin Wei

2.2k citations
61 papers · 1.3k · h-index 15

Impact in

Papers in

Ermin Wei

59 papers receiving 1.3k citations

Peers

Ermin Wei
Comparison fields: 5 of 91
  • Computer Networks and Communications 761
  • Computational Mechanics 251
  • Artificial Intelligence 351
  • Numerical Analysis 43
  • Electrical and Electronic Engineering 385
Replace Pratik K. Biswas with:
Pratik K. Biswas United States
Bahman Gharesifard United States
Hoi-To Wai Hong Kong
Davood Hajinezhad United States
Zhuoran Yang United States
Ramtin Pedarsani United States
Stacy Patterson United States
Bernard Tourancheau France
Peng Yi China
Мohamed Othman Malaysia
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Citations per field
00.5×9.9×
Pratik K. Biswas · 1×
Citations per year

Countries citing papers authored by Ermin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ermin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ermin Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ermin Wei Line = papers co-authored together Ermin Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012244
2 2013209
3 2013161
4 202375
5 201072
6 201870
7 201345
8 200944
9 202143
10
19th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2005)
200540
11 201933
12 202023
13 201720
14 202118
15 202316
16 202313
17 202110
18 201910
19 202310
20 201110

About Ermin Wei

Ermin Wei is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Computational Mechanics and Automotive Engineering, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (17 papers), Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (10 papers), Privacy-Preserving Technologies in Data (10 papers), Smart Grid Energy Management (9 papers), Optimal Power Flow Distribution (7 papers), Consumer Market Behavior and Pricing (6 papers) and Electric Vehicles and Infrastructure (6 papers). The work is most often cited by research in Computer Networks and Communications (761 citations), Computational Mechanics (251 citations), Artificial Intelligence (351 citations), Numerical Analysis (43 citations) and Electrical and Electronic Engineering (385 citations). Ermin Wei has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Asuman Ozdaglar, Ali Jadbabaie, Randall Berry, Meng Zhang, Jianwei Huang, Albert S. Berahas, Nitish Shirish Keskar, Eric W. Justh, P. S. Krishnaprasad and Ruth Thomson. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications, Operations Research and IEEE Robotics and Automation Letters.

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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