Robert M. MacGregor

2.1k citations
55 papers · 1.5k · h-index 19

Impact in

Papers in

Robert M. MacGregor

51 papers receiving 1.2k citations

Peers

Robert M. MacGregor
Comparison fields: 5 of 107
  • Artificial Intelligence 996
  • Computer Networks and Communications 499
  • Signal Processing 183
  • Information Systems 341
  • Software 34
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Citations per year

Countries citing papers authored by Robert M. MacGregor

Since Specialization
Citations

This map shows the geographic impact of Robert M. MacGregor'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 Robert M. MacGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. MacGregor more than expected).

Fields of papers citing papers by Robert M. MacGregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. MacGregor. 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 Robert M. MacGregor. The network helps show where Robert M. MacGregor may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert M. MacGregor, 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 Robert M. MacGregor Line = papers co-authored together Robert M. MacGregor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Evolving Technology of Classification-Based Knowledge Representation Systems.
1991192
2
The Loom Knowledge Representation Language.
1987139
3
A deductive pattern matcher
1988137
4 1991130
5 1987113
6 199978
7
A description classifier for the predicate calculus
199474
8 200457
9 202055
10 199048
11 199136
12 199132
13
Representing Contextualized Data using Semantic Web Tools
200332
14
On partitioning a graph: a theoretical and empirical study.
197829
15 200228
16 202026
17
Practical Experiences in Trading Off Ontology Usability and Reusability
199923
18
ARIEL: a semantic front-end to relational DBMSs
198518
19 202018
20 198616

About Robert M. MacGregor

Robert M. MacGregor is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Signal Processing and Surgery, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Atrial Fibrillation Management and Outcomes (6 papers), Advanced Database Systems and Queries (6 papers), Logic, Reasoning, and Knowledge (5 papers), Data Management and Algorithms (4 papers), AI-based Problem Solving and Planning (4 papers), Neural Networks and Applications (4 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Artificial Intelligence (996 citations), Computer Networks and Communications (499 citations), Signal Processing (183 citations), Information Systems (341 citations) and Software (34 citations). Robert M. MacGregor has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include André Valente, David Brill, William Swartout, Ralph J. Damiano, Mark Burstein, P. Ward, In‐Young Ko, Spencer J. Melby, Matthew R. Templeton and S. Dao. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The Annals of Thoracic Surgery, Pediatric Critical Care Medicine, IEEE Transactions on Knowledge and Data Engineering and AI 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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