T. Johnson
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Co-authors
- Dennis ShashaSharma ChakravarthyAnna HácDamianos ChatziantoniouAdrian ColbrookFlip KornH. V. JagadishK. K. Ramakrishnan
- Topics
- Distributed systems and fault tolerance (11 papers)Parallel Computing and Optimization Techniques (10 papers)Advanced Data Storage Technologies (8 papers)
- Journals
- IEEE Communications MagazineIEEE Transactions on Software EngineeringIEEE Transactions on Computers
- Partner nations
- United StatesIndiaDenmark
In The Last Decade
T. Johnson
27 papers receiving 333 citations
Peers
Comparison fields: 5 of 40
- Computer Networks and Communications 304
- Signal Processing 102
- Artificial Intelligence 101
- Information Systems 78
- Hardware and Architecture 75
Countries citing papers authored by T. Johnson
This map shows the geographic impact of T. Johnson'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. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Johnson more than expected).
Fields of papers citing papers by T. Johnson
This network shows the impact of papers produced by T. Johnson. 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. Johnson. The network helps show where T. Johnson may publish in the future.
Co-authorship network of co-authors of T. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of T. Johnson. A scholar is included among the top collaborators of T. Johnson 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. Johnson. T. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 69 | |
| 14 | 16 | |
| 15 | Hierarchically Split Cube Forests for Decision Support: description and tuned design | 15 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 38 | |
| 20 | 33 |
About T. Johnson
T. Johnson is a scholar working on Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 31 papers that have together received 355 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Data Storage Technologies (8 papers). The work is most often cited by research in Computer Networks and Communications (304 citations), Hardware and Architecture (75 citations) and Signal Processing (102 citations). T. Johnson has collaborated with scholars based in United States, India and Denmark. Frequent co-authors include Dennis Shasha, Sharma Chakravarthy, Anna Hác, Damianos Chatziantoniou, Adrian Colbrook, Flip Korn, H. V. Jagadish, K. K. Ramakrishnan, Charles Kalmanek and Jennifer Rexford. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.
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.