Thomas A. Wettergren
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Ocean Engineering top 5%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Silvio FerrariAsok RayShalabh GuptaDevesh K. JhaGregor KovačičJames Z. HareYue LiKushal Mukherjee
- Topics
- Target Tracking and Data Fusion in Sensor Networks (29 papers)Distributed Sensor Networks and Detection Algorithms (21 papers)Underwater Vehicles and Communication Systems (15 papers)
- Partner nations
- United StatesIreland
In The Last Decade
Thomas A. Wettergren
65 papers receiving 639 citations
Peers
Comparison fields: 5 of 77
- Computer Networks and Communications 350
- Artificial Intelligence 189
- Ocean Engineering 119
- Aerospace Engineering 115
- Electrical and Electronic Engineering 110
Countries citing papers authored by Thomas A. Wettergren
This map shows the geographic impact of Thomas A. Wettergren'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 Thomas A. Wettergren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas A. Wettergren more than expected).
Fields of papers citing papers by Thomas A. Wettergren
This network shows the impact of papers produced by Thomas A. Wettergren. 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 Thomas A. Wettergren. The network helps show where Thomas A. Wettergren may publish in the future.
Co-authorship network of co-authors of Thomas A. Wettergren
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas A. Wettergren. A scholar is included among the top collaborators of Thomas A. Wettergren 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 Thomas A. Wettergren. Thomas A. Wettergren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | Classification induced distributed sensor scheduling for energy-efficiency in underwater target tracking sensor networks | 3 |
| 7 | Time-optimal path planning for underwater vehicles in obstacle constrained environments | 2 |
| 8 | 16 | |
| 9 | 32 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 20 | |
| 17 | 24 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 8 |
About Thomas A. Wettergren
Thomas A. Wettergren is a scholar working on Computer Networks and Communications, Ocean Engineering and Artificial Intelligence, having authored 70 papers that have together received 652 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (29 papers), Distributed Sensor Networks and Detection Algorithms (21 papers) and Underwater Vehicles and Communication Systems (15 papers). The work is most often cited by research in Computer Networks and Communications (350 citations), Ocean Engineering (119 citations) and Artificial Intelligence (189 citations). Thomas A. Wettergren has collaborated with scholars based in United States and Ireland. Frequent co-authors include Silvio Ferrari, Asok Ray, Shalabh Gupta, Devesh K. Jha, Gregor Kovačič, James Z. Hare, Yue Li, Kushal Mukherjee, Roy L. Streit and Manbir Sodhi. Their work appears in journals such as Automatica, The Journal of the Acoustical Society of America and IEEE Access.
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.