Thomas M. Gallie

540 citations
20 papers · 437 indexed · h-index 10
Topics
ECG Monitoring and Analysis (6 papers)Cardiac electrophysiology and arrhythmias (5 papers)EEG and Brain-Computer Interfaces (4 papers)
Partner nations
United States

In The Last Decade

Thomas M. Gallie

15 papers receiving 334 citations

Peers

Thomas M. Gallie
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 195
  • Biomedical Engineering 53
  • Computational Mechanics 51
  • Numerical Analysis 38
  • Mechanical Engineering 38
Replace C. Viganotti with:
C. Viganotti Italy
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Thomas M. Gallie relative to C. Viganotti Italy C. Viganotti's profile →
Citations per field
00.5×10×12.7×
C. Viganotti · 1×
Citations per year

Countries citing papers authored by Thomas M. Gallie

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Gallie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas M. Gallie

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Gallie. A scholar is included among the top collaborators of Thomas M. Gallie 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 Thomas M. Gallie. Thomas M. Gallie 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
#WorkIndexed citations
1 0
2 1
3
The Duke Personal Computer Project: A Strategy for Computing Literacy.
2
4 27
5 19
6 22
7 0
8 24
9
Exploratory electrocardiography: use of isopotential surface maps.
1
10 4
11
Organizational, financial and political aspects of a three-university computing center.
9
12 42
13 7
14 33
15 88
16 9
17 2
18 4
19 8
20 135

About Thomas M. Gallie

Thomas M. Gallie is a scholar working on Numerical Analysis, Applied Mathematics and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 437 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (195 citations), Numerical Analysis (38 citations) and Mathematical Physics (33 citations). Thomas M. Gallie has collaborated with scholars based in United States. Frequent co-authors include Jim Douglas, Madison S. Spach, Roger C. Barr, John P. Boineau, Andrew G. Wallace, Sarah D. Blumenschein, John T. Flaherty, Paul A. Ebert, Richard D. Gentzler and Ann W. Alexander. Their work appears in journals such as Circulation, Communications of the ACM and The American Journal of Cardiology.

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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