Scott Pudlewski
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Co-authors
- Tommaso MelodiaZhangyu GuanElizabeth Serena BentleyLingjia LiuHao SongFrancesco RestucciaLiyang ZhangBodong Shang
- Topics
- Cooperative Communication and Network Coding (10 papers)Advanced MIMO Systems Optimization (10 papers)Sparse and Compressive Sensing Techniques (9 papers)
- Journals
- IEEE Communications Surveys & TutorialsIEEE AccessIEEE Transactions on Wireless Communications
- Partner nations
- United States
In The Last Decade
Scott Pudlewski
31 papers receiving 491 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 274
- Electrical and Electronic Engineering 239
- Computational Mechanics 183
- Computer Vision and Pattern Recognition 140
- Aerospace Engineering 80
Countries citing papers authored by Scott Pudlewski
This map shows the geographic impact of Scott Pudlewski'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 Scott Pudlewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Pudlewski more than expected).
Fields of papers citing papers by Scott Pudlewski
This network shows the impact of papers produced by Scott Pudlewski. 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 Scott Pudlewski. The network helps show where Scott Pudlewski may publish in the future.
Co-authorship network of co-authors of Scott Pudlewski
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Pudlewski. A scholar is included among the top collaborators of Scott Pudlewski 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 Scott Pudlewski. Scott Pudlewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 11 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 22 | |
| 12 | 12 | |
| 13 | 40 | |
| 14 | 31 | |
| 15 | 3 | |
| 16 | 11 | |
| 17 | 21 | |
| 18 | 29 | |
| 19 | 8 | |
| 20 | 1 |
About Scott Pudlewski
Scott Pudlewski is a scholar working on Computer Networks and Communications, Aerospace Engineering and Computational Mechanics, having authored 33 papers that have together received 505 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (10 papers), Advanced MIMO Systems Optimization (10 papers) and Sparse and Compressive Sensing Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (274 citations), Computational Mechanics (183 citations) and Signal Processing (79 citations). Scott Pudlewski has collaborated with scholars based in United States. Frequent co-authors include Tommaso Melodia, Zhangyu Guan, Elizabeth Serena Bentley, Lingjia Liu, Hao Song, Francesco Restuccia, Liyang Zhang, Bodong Shang, Nicholas Mastronarde and Jonathan Ashdown. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Transactions on Wireless Communications.
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.