Michael Freeston

590 citations
24 papers · 451 · h-index 11

Impact in

Papers in

Michael Freeston

22 papers receiving 378 citations

Peers

Michael Freeston
Comparison fields: 5 of 38
  • Signal Processing 331
  • Geography, Planning and Development 83
  • Computer Networks and Communications 259
  • Computer Graphics and Computer-Aided Design 39
  • Artificial Intelligence 185
Replace Sean Chester with:
Sean Chester Canada
Navin Kabra United States
Curt J. Ellmann United States
Diego Seco Spain
João B. Rocha-Junior Brazil
Nandlal L. Sarda India
Ahmed M. Aly United States
Kaiyu Feng Singapore
Maria Rita Scalas Italy
Jens-Peter Dittrich Switzerland
Michael Freeston relative to Sean Chester Canada Sean Chester's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Freeston

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 20 scholars most cited alongside Michael Freeston, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Freeston Line = papers co-authored together Michael Freeston links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987172
2 199566
3 198926
4 199625
5 200024
6 198721
7 199821
8 199817
9 199513
10 199012
11 199911
12 20037
13 20026
14 20025
15 20045
16
KB-PROLOG, a PROLOG for very large knowledge bases
19904
17 19964
18 20054
19
Grid Files for Efficient Prolog Clause Access.
19882
20 19962

About Michael Freeston

Michael Freeston is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Science Applications, having authored 24 papers that have together received 451 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (11 papers), Algorithms and Data Compression (9 papers), Semantic Web and Ontologies (5 papers), Open Education and E-Learning (3 papers), Geographic Information Systems Studies (2 papers), Data Mining Algorithms and Applications (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Signal Processing (331 citations), Geography, Planning and Development (83 citations), Computer Networks and Communications (259 citations), Computer Graphics and Computer-Aided Design (39 citations) and Artificial Intelligence (185 citations). Michael Freeston has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Terence R. Smith, James Frew, Linda Hill, Greg Janée, Qing Zheng, Jorge B. Bocca, Jianwen Su, Amr El Abbadi, Sunil Prabhakar and Michael O. Neary. Their work appears in journals such as International Journal on Digital Libraries, ACM SIGMOD Record, Lecture notes in computer science and D-Lib Magazine.

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.

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