Robert M. MacGregor

2.1k total citations
52 papers, 1.2k citations indexed

About

Robert M. MacGregor is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Computer Networks and Communications. According to data from OpenAlex, Robert M. MacGregor has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Cardiology and Cardiovascular Medicine and 8 papers in Computer Networks and Communications. Recurrent topics in Robert M. MacGregor's work include Semantic Web and Ontologies (14 papers), Cardiac Arrhythmias and Treatments (9 papers) and Atrial Fibrillation Management and Outcomes (8 papers). Robert M. MacGregor is often cited by papers focused on Semantic Web and Ontologies (14 papers), Cardiac Arrhythmias and Treatments (9 papers) and Atrial Fibrillation Management and Outcomes (8 papers). Robert M. MacGregor collaborates with scholars based in United States, Canada and Spain. Robert M. MacGregor's co-authors include T. Russ, André Valente, David Brill, Ralph J. Damiano, William Swartout, Spencer J. Melby, P. Ward, Matthew R. Templeton, S. Dao and Mark Burstein and has published in prestigious journals such as Proceedings of the IEEE, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.

In The Last Decade

Robert M. MacGregor

50 papers receiving 988 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert M. MacGregor United States 18 801 406 293 145 142 52 1.2k
Senjuti Basu Roy United States 17 429 0.5× 244 0.6× 454 1.5× 55 0.4× 234 1.6× 55 1.1k
Friedrich Steimann Germany 16 698 0.9× 240 0.6× 674 2.3× 10 0.1× 79 0.6× 68 1.1k
Vincent Ng United States 27 1.8k 2.3× 139 0.3× 667 2.3× 24 0.2× 119 0.8× 91 2.3k
Chien-Lung Hsu Taiwan 19 611 0.8× 480 1.2× 594 2.0× 10 0.1× 94 0.7× 84 1.3k
Hyoil Han United States 14 800 1.0× 135 0.3× 424 1.4× 10 0.1× 97 0.7× 45 1.0k
Wanli Zuo China 18 1.0k 1.3× 124 0.3× 482 1.6× 13 0.1× 116 0.8× 127 1.5k
Qusai Y. Shambour Jordan 15 421 0.5× 206 0.5× 636 2.2× 18 0.1× 60 0.4× 71 1.2k
Annette ten Teije Netherlands 19 740 0.9× 152 0.4× 204 0.7× 10 0.1× 45 0.3× 81 1.1k
Roy J. Byrd United States 16 783 1.0× 44 0.1× 137 0.5× 51 0.4× 36 0.3× 32 1.0k
Jafar Adibi United States 12 343 0.4× 265 0.7× 300 1.0× 8 0.1× 169 1.2× 24 903

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-authorship network of co-authors of Robert M. MacGregor

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. MacGregor. A scholar is included among the top collaborators of Robert M. MacGregor 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 Robert M. MacGregor. Robert M. MacGregor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
MacGregor, Robert M., et al.. (2021). Late results after stand-alone surgical ablation for atrial fibrillation. Journal of Thoracic and Cardiovascular Surgery. 164(5). 1515–1528.e8. 6 indexed citations
2.
Khiabani, Ali J., Robert M. MacGregor, Laurie A. Sinn, et al.. (2021). Concomitant surgical ablation for atrial fibrillation is associated with increased risk of acute kidney injury but improved late survival. Journal of Thoracic and Cardiovascular Surgery. 164(6). 1847–1857.e3. 13 indexed citations
4.
MacGregor, Robert M., Ali J. Khiabani, Joshua Manghelli, et al.. (2020). Impact of age on atrial fibrillation recurrence following surgical ablation. Journal of Thoracic and Cardiovascular Surgery. 162(5). 1516–1528.e1. 15 indexed citations
5.
Khiabani, Ali J., Robert M. MacGregor, Joshua Manghelli, et al.. (2020). Bipolar Radiofrequency Ablation on Explanted Human Hearts: How to Ensure Transmural Lesions. The Annals of Thoracic Surgery. 110(6). 1933–1939. 10 indexed citations
6.
Manghelli, Joshua, Jason M. Gauthier, Davide Scozzi, et al.. (2020). Pericardial Mitochondrial DNA Levels Are Associated With Atrial Fibrillation After Cardiac Surgery. The Annals of Thoracic Surgery. 111(5). 1593–1600. 17 indexed citations
7.
Khiabani, Ali J., Robert M. MacGregor, Joshua Manghelli, et al.. (2020). The long-term outcomes and durability of the Cox-Maze IV procedure for atrial fibrillation. Journal of Thoracic and Cardiovascular Surgery. 163(2). 629–641.e7. 52 indexed citations
8.
MacGregor, Robert M., Joel D. Schilling, Gregory A. Ewald, et al.. (2020). Cardiac allograft rejection in the current era of continuous flow left ventricular assist devices. Journal of Thoracic and Cardiovascular Surgery. 163(1). 124–134.e8. 6 indexed citations
9.
MacGregor, Robert M., Ali J. Khiabani, & Ralph J. Damiano. (2019). The Surgical Treatment of Atrial Fibrillation Via Median Sternotomy. Operative Techniques in Thoracic and Cardiovascular Surgery. 24(1). 19–37. 6 indexed citations
10.
MacGregor, Robert M. & Deborah L. McGuinness. (1999). DARPA's High Performance Knowledge Base (HPKB) Program.. Description Logics.
11.
Russ, T., et al.. (1999). Practical Experiences in Trading Off Ontology Usability and Reusability. 22 indexed citations
12.
MacGregor, Robert M.. (1999). Integrating Descriptions and Classification into a Predicate Calculus Framework.. Description Logics.
13.
MacGregor, Robert M.. (1994). A description classifier for the predicate calculus. National Conference on Artificial Intelligence. 213–220. 52 indexed citations
14.
MacGregor, Robert M.. (1992). What's Needed to Make a Description Logic a Good KR Citizen?. Description Logics. 53–55. 4 indexed citations
15.
MacGregor, Robert M. & David Brill. (1992). Recognition algorithms for the loom classifier. National Conference on Artificial Intelligence. 774–779. 12 indexed citations
16.
Patel‐Schneider, Peter F., Alfred Kobsa, Nicola Guarino, et al.. (1990). Term Subsumption Languages in Knowledge Representation. AI Magazine. 11(2). 16–23. 35 indexed citations
17.
Neches, Robert, et al.. (1989). Classification-Based Programming: A Deep Integration of Frames and Rules. Defense Technical Information Center (DTIC). 6 indexed citations
18.
MacGregor, Robert M.. (1988). A deductive pattern matcher. National Conference on Artificial Intelligence. 403–408. 115 indexed citations
19.
MacGregor, Robert M.. (1985). ARIEL: a semantic front-end to relational DBMSs. Very Large Data Bases. 305–315. 14 indexed citations
20.
MacGregor, Robert M.. (1978). On partitioning a graph: a theoretical and empirical study.. 7(4). 133–9. 20 indexed citations

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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