Jonathan Rubin
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Saman ParvanehSaeed BabaeizadehAsif RahmanBryan ConroyIan WatsonRui AbreuMinnan Xu-WilsonAnurag Ganguli
- Topics
- Artificial Intelligence in Games (8 papers)EEG and Brain-Computer Interfaces (7 papers)ECG Monitoring and Analysis (6 papers)
- Partner nations
- United StatesNew ZealandIndia
In The Last Decade
Jonathan Rubin
22 papers receiving 578 citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 381
- Cognitive Neuroscience 226
- Pulmonary and Respiratory Medicine 158
- Artificial Intelligence 114
- Biomedical Engineering 80
Countries citing papers authored by Jonathan Rubin
This map shows the geographic impact of Jonathan Rubin'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 Jonathan Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Rubin more than expected).
Fields of papers citing papers by Jonathan Rubin
This network shows the impact of papers produced by Jonathan Rubin. 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 Jonathan Rubin. The network helps show where Jonathan Rubin may publish in the future.
Co-authorship network of co-authors of Jonathan Rubin
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Rubin. A scholar is included among the top collaborators of Jonathan Rubin 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 Jonathan Rubin. Jonathan Rubin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | Efficient Video-Based Deep Learning for Ultrasound Guided Needle Insertion | 1 |
| 4 | 87 | |
| 5 | 93 | |
| 6 | Pulmonary Edema Severity Estimation in Chest Radiographs Using Deep Learning | 3 |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 74 | |
| 10 | 50 | |
| 11 | 43 | |
| 12 | 100 | |
| 13 | 10 | |
| 14 | 19 | |
| 15 | 10 | |
| 16 | 10 | |
| 17 | 10 | |
| 18 | 40 | |
| 19 | 2 | |
| 20 | Investigating the Effectiveness of Applying Case-Based Reasoning to the Game of Texas Hold'em | 5 |
About Jonathan Rubin
Jonathan Rubin is a scholar working on Issues, ethics and legal aspects, Applied Psychology and Cognitive Neuroscience, having authored 23 papers that have together received 603 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (8 papers), EEG and Brain-Computer Interfaces (7 papers) and ECG Monitoring and Analysis (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (381 citations), Cognitive Neuroscience (226 citations) and Health Informatics (7 citations). Jonathan Rubin has collaborated with scholars based in United States, New Zealand and India. Frequent co-authors include Saman Parvaneh, Saeed Babaeizadeh, Asif Rahman, Bryan Conroy, Ian Watson, Rui Abreu, Minnan Xu-Wilson, Anurag Ganguli, Ion Matei and Kumar Sricharan. Their work appears in journals such as Artificial Intelligence, Physiological Measurement 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.