Michael Freeston
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- James FrewTerence R. SmithLinda HillGordon WellsDivyakant AgrawalSunil PrabhakarK. V. Ravi KanthAmr El Abbadi
- Topics
- Advanced Database Systems and Queries (6 papers)Data Management and Algorithms (6 papers)Algorithms and Data Compression (6 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael Freeston
12 papers receiving 220 citations
Peers
Comparison fields: 5 of 35
- Signal Processing 195
- Computer Networks and Communications 148
- Artificial Intelligence 113
- Information Systems 71
- Computer Vision and Pattern Recognition 48
Countries citing papers authored by Michael Freeston
This map shows the geographic impact of Michael Freeston'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 Michael Freeston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Freeston more than expected).
Fields of papers citing papers by Michael Freeston
This network shows the impact of papers produced by Michael Freeston. 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 Michael Freeston. The network helps show where Michael Freeston may publish in the future.
Co-authorship network of co-authors of Michael Freeston
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Freeston. A scholar is included among the top collaborators of Michael Freeston 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 Michael Freeston. Michael Freeston 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 | 5 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | The Organization of Knowledge Spaces for a Virtual Learning Environment Supported by a Digital Library | 1 |
| 6 | 19 | |
| 7 | 15 | |
| 8 | 21 | |
| 9 | 8 | |
| 10 | 49 | |
| 11 | KB-PROLOG, a PROLOG for very large knowledge bases | 3 |
| 12 | Aspects of knowledge base management system research at ECRC | 1 |
| 13 | Grid Files for Efficient Prolog Clause Access. | 2 |
| 14 | 115 | |
| 15 | 14 |
About Michael Freeston
Michael Freeston is a scholar working on Signal Processing, Computer Science Applications and Computer Networks and Communications, having authored 15 papers that have together received 262 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (6 papers), Data Management and Algorithms (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Signal Processing (195 citations), Geography, Planning and Development (40 citations) and Computer Networks and Communications (148 citations). Michael Freeston has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include James Frew, Terence R. Smith, Linda Hill, Gordon Wells, Divyakant Agrawal, Sunil Prabhakar, K. V. Ravi Kanth, Amr El Abbadi, Qing Zheng and Ambuj K. Singh. Their work appears in journals such as ACM SIGMOD Record, D-Lib Magazine and International Journal on Digital Libraries.
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.