Ted Hart
Impact in
- Software top 10%
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Underwater Vehicles and Communication Systems 3
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- Advanced Database Systems and Queries 2
- Advanced Data Storage Technologies 1
- Distributed systems and fault tolerance 1
- Co-authors
- Bodhi Priyantha (4 shared papers)Daniel W. Barowy (2 shared papers)Sumit Gulwani (2 shared papers)Benjamin G. Zorn (2 shared papers)Jie Liu (2 shared papers)Heitor S. Ramos (2 shared papers)Qiang Wang (2 shared papers)Antônio A. F. Loureiro (1 shared paper)
- Journals
- ACM SIGPLAN Notices (1 paper)Proceedings of the VLDB Endowment (1 paper)IEEE Transactions on Mobile Computing (1 paper)Empirical Methods in Natural Language Processing (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ted Hart
8 papers receiving 336 citations
Peers
Comparison fields: 5 of 44
- Software 35
- Computer Science Applications 35
- Transportation 34
- Computer Networks and Communications 121
- Signal Processing 49
Countries citing papers authored by Ted Hart
This map shows the geographic impact of Ted Hart'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 Ted Hart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Hart more than expected).
Fields of papers citing papers by Ted Hart
This network shows the impact of papers produced by Ted Hart. 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 Ted Hart. The network helps show where Ted Hart may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Hart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 113 | |
| 2 | 2015 | 78 | |
| 3 | 2014 | 60 | |
| 4 | 2015 | 38 | |
| 5 | 2015 | 29 | |
| 6 | Compressing Trigram Language Models With Golomb Coding | 2007 | 23 |
| 7 | 2016 | 8 | |
| 8 | 2012 | 2 | |
| 9 | 2025 | 0 |
About Ted Hart
Ted Hart is a scholar working on Ocean Engineering, Computer Networks and Communications, Management Science and Operations Research, Computer Science Applications and Information Systems, having authored 9 papers that have together received 351 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (4 papers), Underwater Vehicles and Communication Systems (3 papers), Data Quality and Management (2 papers), Advanced Database Systems and Queries (2 papers), Web Data Mining and Analysis (2 papers), Context-Aware Activity Recognition Systems (1 paper), Advanced Data Storage Technologies (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Software (35 citations), Computer Science Applications (35 citations), Transportation (34 citations), Computer Networks and Communications (121 citations) and Signal Processing (49 citations). Ted Hart has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bodhi Priyantha, Daniel W. Barowy, Sumit Gulwani, Benjamin G. Zorn, Jie Liu, Heitor S. Ramos, Qiang Wang, Antônio A. F. Loureiro, Yuzhe Jin and Shahriar Nirjon. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the VLDB Endowment, IEEE Transactions on Mobile Computing, Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.
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.