Michael Freeston

590 citations
15 papers · 262 · h-index 7

Impact in

Papers in

Michael Freeston

12 papers receiving 220 citations

Peers

Michael Freeston
Comparison fields: 5 of 35
  • Signal Processing 195
  • Geography, Planning and Development 40
  • Computer Networks and Communications 148
  • Computer Graphics and Computer-Aided Design 14
  • Artificial Intelligence 113
Replace Hans-Werner Six with:
Hans-Werner Six Germany
Curt J. Ellmann United States
Sukho Lee South Korea
Philippe Rigaux France
Navin Kabra United States
Thomas Ohler Switzerland
Bernhard Braunmüller Germany
Darius Šidlauskas Denmark
Nandlal L. Sarda India
Nora Susana Reyes Argentina
Michael Freeston relative to Hans-Werner Six Germany Hans-Werner Six'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 19 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

15 of 15 papers shown
#Work
1 1987115
2 199549
3 199621
4 200019
5 199815
6 198714
7 19958
8 20025
9 20025
10 20044
11
KB-PROLOG, a PROLOG for very large knowledge bases
19903
12
Grid Files for Efficient Prolog Clause Access.
19882
13
Aspects of knowledge base management system research at ECRC
19901
14
The Organization of Knowledge Spaces for a Virtual Learning Environment Supported by a Digital Library
20021
15 20020

About Michael Freeston

Michael Freeston is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Computer Science Applications and Anthropology, having authored 15 papers that have together received 262 indexed citations. Recurring topics across this work include Data Management and Algorithms (6 papers), Advanced Database Systems and Queries (6 papers), Algorithms and Data Compression (6 papers), Semantic Web and Ontologies (3 papers), Distributed and Parallel Computing Systems (2 papers), Open Education and E-Learning (2 papers), Ancient Egypt and Archaeology (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Signal Processing (195 citations), Geography, Planning and Development (40 citations), Computer Networks and Communications (148 citations), Computer Graphics and Computer-Aided Design (14 citations) and Artificial Intelligence (113 citations). Michael Freeston has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Terence R. Smith, James Frew, Gordon Wells, Linda Hill, K. V. Ravi Kanth, Ambuj K. Singh, Jianwen Su, Michael O. Neary, Divyakant Agrawal and Greg Janée. Their work appears in journals such as ACM SIGMOD Record, International Journal on Digital Libraries 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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