Adam Connolly
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Molecular Biology
- Cellular and Molecular Neuroscience
- Cognitive Neuroscience
- Co-authors
- Martin J. BishopGernot PlankGodfrey L. SmithAllen KellyJohn WhitakerEdward J. VigmondFlavien CharpentierTomas Stølen
- Topics
- Cardiac electrophysiology and arrhythmias (15 papers)Neuroscience and Neural Engineering (7 papers)ECG Monitoring and Analysis (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCritical Care and Intensive Care MedicineEmergency Medicine
- Partner nations
- United KingdomAustriaUnited States
In The Last Decade
Adam Connolly
18 papers receiving 267 citations
Peers
Comparison fields: 5 of 63
- Cardiology and Cardiovascular Medicine 196
- Biomedical Engineering 35
- Molecular Biology 34
- Cellular and Molecular Neuroscience 27
- Cognitive Neuroscience 25
Countries citing papers authored by Adam Connolly
This map shows the geographic impact of Adam Connolly'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 Adam Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Connolly more than expected).
Fields of papers citing papers by Adam Connolly
This network shows the impact of papers produced by Adam Connolly. 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 Adam Connolly. The network helps show where Adam Connolly may publish in the future.
Co-authorship network of co-authors of Adam Connolly
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Connolly. A scholar is included among the top collaborators of Adam Connolly 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 Adam Connolly. Adam Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 23 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | Computing in Cardiology Conference, CinC 2016 | 85 |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 31 | |
| 13 | 4 | |
| 14 | 26 | |
| 15 | 0 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 14 | |
| 19 | 3 |
About Adam Connolly
Adam Connolly is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Emergency Medicine, having authored 19 papers that have together received 269 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (15 papers), Neuroscience and Neural Engineering (7 papers) and ECG Monitoring and Analysis (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (196 citations), Critical Care and Intensive Care Medicine (15 citations) and Emergency Medicine (21 citations). Adam Connolly has collaborated with scholars based in United Kingdom, Austria and United States. Frequent co-authors include Martin J. Bishop, Gernot Plank, Godfrey L. Smith, Allen Kelly, John Whitaker, Edward J. Vigmond, Flavien Charpentier, Tomas Stølen, Steven E. Williams and Rachel C. Myles. Their work appears in journals such as PLoS ONE, Biophysical Journal and IEEE Transactions on Biomedical Engineering.
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.