Johnson Thomas
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Biomedical Engineering
- Co-authors
- Ajith AbrahamCrina GroşanRavi JainSang Yong HanEric Chan‐TinVijay VaradharajanGheorghiță GhineaQi Shi
- Topics
- Mobile Ad Hoc Networks (4 papers)Cloud Computing and Resource Management (4 papers)Caching and Content Delivery (3 papers)
- Journals
- Journal of Network and Computer ApplicationsPeer-to-Peer Networking and ApplicationsInternational Journal of Business Intelligence and Data Mining
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Johnson Thomas
14 papers receiving 403 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 408
- Artificial Intelligence 295
- Signal Processing 174
- Information Systems 103
- Biomedical Engineering 44
Countries citing papers authored by Johnson Thomas
This map shows the geographic impact of Johnson Thomas'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 Johnson Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnson Thomas more than expected).
Fields of papers citing papers by Johnson Thomas
This network shows the impact of papers produced by Johnson Thomas. 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 Johnson Thomas. The network helps show where Johnson Thomas may publish in the future.
Co-authorship network of co-authors of Johnson Thomas
This figure shows the co-authorship network connecting the top 25 collaborators of Johnson Thomas. A scholar is included among the top collaborators of Johnson Thomas 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 Johnson Thomas. Johnson Thomas 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 | 0 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | IAS2007: Proceedings of the Third International Symposium on Information Assurance and Security | 2 |
| 11 | Secure Directed Diffusion Routing Protocol for Sensor Networks using the LEAP Protocol | 6 |
| 12 | 104 | |
| 13 | 313 | |
| 14 | 1 | |
| 15 | Reducing Latency in Ad Hoc Networks by Pre-Fetching. | 1 |
| 16 | Modeling Work Flow in Hierarchically Cluster Distributed Systems. | 0 |
| 17 | 2 |
About Johnson Thomas
Johnson Thomas is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 17 papers that have together received 469 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (4 papers), Cloud Computing and Resource Management (4 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Networks and Communications (408 citations), Signal Processing (174 citations) and Artificial Intelligence (295 citations). Johnson Thomas has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ajith Abraham, Crina Groşan, Ravi Jain, Sang Yong Han, Eric Chan‐Tin, Vijay Varadharajan, Gheorghiță Ghinea, Qi Shi, Rui Yang and Hong Liu. Their work appears in journals such as Journal of Network and Computer Applications, Peer-to-Peer Networking and Applications and International Journal of Business Intelligence and Data Mining.
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.