Alec Koppel

1.5k citations
76 papers · 787 · h-index 14

Impact in

Papers in

    • Stochastic Gradient Optimization Techniques 20
    • Reinforcement Learning in Robotics 18
    • Gaussian Processes and Bayesian Inference 15
    • Distributed Control Multi-Agent Systems 21
    • Distributed Sensor Networks and Detection Algorithms 15
    • Optimization and Search Problems 5

Alec Koppel

70 papers receiving 771 citations

Peers

Alec Koppel
Comparison fields: 5 of 60
  • Management Science and Operations Research 203
  • Computer Networks and Communications 365
  • Artificial Intelligence 353
  • Numerical Analysis 53
  • Computational Mechanics 192
Replace Ketan Rajawat with:
Ketan Rajawat India
Deming Yuan China
Davood Hajinezhad United States
Qingguo Lü China
Mark Eisen United States
Michel Vasquez France
Pham Dinh Tao France
Spyridon D. Mourtas Greece
Takashi Tanaka United States
Euhanna Ghadimi Sweden
Alec Koppel relative to Ketan Rajawat India Ketan Rajawat's profile →
Citations per field
00.5×2.5×
Ketan Rajawat · 1×
Citations per year

Countries citing papers authored by Alec Koppel

Since Specialization
Citations

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

Fields of papers citing papers by Alec Koppel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alec Koppel, 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 Alec Koppel Line = papers co-authored together Alec Koppel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015115
2 2016100
3 202055
4 201754
5 201838
6 202027
7 201923
8 202321
9 201920
10 201417
11 201616
12 201514
13 202213
14 201713
15 202212
16 201911
17 202111
18 201811
19 201711
20 201610

About Alec Koppel

Alec Koppel is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Mechanics, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 76 papers that have together received 787 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Advanced Bandit Algorithms Research (23 papers), Distributed Control Multi-Agent Systems (21 papers), Stochastic Gradient Optimization Techniques (20 papers), Reinforcement Learning in Robotics (18 papers), Distributed Sensor Networks and Detection Algorithms (15 papers), Gaussian Processes and Bayesian Inference (15 papers) and Optimization and Search Problems (5 papers). The work is most often cited by research in Management Science and Operations Research (203 citations), Computer Networks and Communications (365 citations), Artificial Intelligence (353 citations), Numerical Analysis (53 citations) and Computational Mechanics (192 citations). Alec Koppel has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Alejandro Ribeiro, Amrit Singh Bedi, Aryan Mokhtari, Ketan Rajawat, Brian M. Sadler, Andrea Simonetto, Geert Leus, Tamer Başar, Kaiqing Zhang and Hao Zhu. Their work appears in journals such as IEEE Transactions on Signal Processing, SIAM Journal on Control and Optimization, IEEE Transactions on Signal and Information Processing over Networks, IEEE Signal Processing Magazine and IEEE Transactions on Automatic Control.

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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