Bryan Van Scoy
Impact in
-
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Distributed Sensor Networks and Detection Algorithms
Papers in
-
- Advanced Optimization Algorithms Research 3
-
- Distributed Control Multi-Agent Systems 11
- Distributed Sensor Networks and Detection Algorithms 3
- Energy Efficient Wireless Sensor Networks 3
- Co-authors
- Randy A. FreemanKevin LynchSolmaz S. KiaSonia Martı́nezJorge CortésLaurent LessardPeter JamiesonJohn W. Simpson-Porco
- Journals
- IEEE Control Systems Letters (2 papers)Drones (2 papers)Robotics (1 paper)IFAC-PapersOnLine (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Bryan Van Scoy
17 papers receiving 353 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 228
- Numerical Analysis 25
- Control and Systems Engineering 106
- Artificial Intelligence 89
- Energy Engineering and Power Technology 6
Countries citing papers authored by Bryan Van Scoy
This map shows the geographic impact of Bryan Van Scoy'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 Bryan Van Scoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Van Scoy more than expected).
Fields of papers citing papers by Bryan Van Scoy
This network shows the impact of papers produced by Bryan Van Scoy. 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 Bryan Van Scoy. The network helps show where Bryan Van Scoy may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Bryan Van Scoy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 4 | |
| 11 | 2019 | 3 | |
| 12 | Tutorial on dynamic average consensus: the problem, its applications,\n and the algorithms Hit paper breakdown → | 2018 | 230 |
| 13 | 2017 | 65 | |
| 14 | 2016 | 7 | |
| 15 | 2015 | 11 | |
| 16 | 2015 | 7 | |
| 17 | 2015 | 3 | |
| 18 | 2015 | 9 | |
| 19 | 2014 | 6 |
About Bryan Van Scoy
Bryan Van Scoy is a scholar working on Numerical Analysis, Computer Networks and Communications, Aerospace Engineering, Computational Mechanics and Computer Science Applications, having authored 19 papers that have together received 359 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (11 papers), Sparse and Compressive Sensing Techniques (4 papers), UAV Applications and Optimization (4 papers), Distributed Sensor Networks and Detection Algorithms (3 papers), Advanced Optimization Algorithms Research (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Stochastic Gradient Optimization Techniques (3 papers) and Stability and Control of Uncertain Systems (3 papers). The work is most often cited by research in Computer Networks and Communications (228 citations), Numerical Analysis (25 citations), Control and Systems Engineering (106 citations), Artificial Intelligence (89 citations) and Energy Engineering and Power Technology (6 citations). Bryan Van Scoy has collaborated with scholars based in United States and Canada. Frequent co-authors include Randy A. Freeman, Kevin Lynch, Solmaz S. Kia, Sonia Martı́nez, Jorge Cortés, Laurent Lessard, Peter Jamieson and John W. Simpson-Porco. Their work appears in journals such as IEEE Control Systems Letters, Drones, Robotics, IFAC-PapersOnLine and SHILAP Revista de lepidopterología.
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.