T. Guess
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Signal Processing
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Mahesh K. VaranasiHao ZhangM.L. McCloud
- Topics
- Advanced Wireless Communication Techniques (19 papers)Wireless Communication Networks Research (16 papers)Advanced Wireless Network Optimization (10 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputational Mathematics
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on CommunicationsIEEE Transactions on Wireless Communications
- Partner nations
- United States
In The Last Decade
T. Guess
20 papers receiving 423 citations
Peers
Comparison fields: 5 of 19
- Electrical and Electronic Engineering 433
- Computer Networks and Communications 401
- Signal Processing 15
- Artificial Intelligence 13
- Aerospace Engineering 13
Countries citing papers authored by T. Guess
This map shows the geographic impact of T. Guess'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 T. Guess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Guess more than expected).
Fields of papers citing papers by T. Guess
This network shows the impact of papers produced by T. Guess. 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 T. Guess. The network helps show where T. Guess may publish in the future.
Co-authorship network of co-authors of T. Guess
This figure shows the co-authorship network connecting the top 25 collaborators of T. Guess. A scholar is included among the top collaborators of T. Guess 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 T. Guess. T. Guess is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 1 | |
| 4 | 45 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 46 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 213 | |
| 17 | 23 | |
| 18 | 19 | |
| 19 | 10 | |
| 20 | Deriving Optimal Successive Decoders for the Asynchronous CDMA Channel Using Information Theory | 1 |
About T. Guess
T. Guess is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 21 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (19 papers), Wireless Communication Networks Research (16 papers) and Advanced Wireless Network Optimization (10 papers). The work is most often cited by research in Computer Networks and Communications (401 citations), Electrical and Electronic Engineering (433 citations) and Computational Mathematics (1 citation). T. Guess has collaborated with scholars based in United States. Frequent co-authors include Mahesh K. Varanasi, Hao Zhang, Hao Zhang and M.L. McCloud. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications 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.