David Baltaxe
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in ⓘ
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- Team Dynamics and Performance 1
- Co-authors
- Louis Rosenberg (4 shared papers)Safwan S. Halabi (2 shared papers)Matthew P. Lungren (2 shared papers)Gregg Willcox (2 shared papers)Niccolò Pescetelli (1 shared paper)Joseph Mammarappallil (1 shared paper)Timothy J. Amrhein (1 shared paper)Bhavik N. Patel (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)Frontiers in Ecology and the Environment (1 paper)Journal of Creative Communications (1 paper)Proceedings of the Human Factors and Ergonomics Society Annual Meeting (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
David Baltaxe
7 papers receiving 227 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 51
- Family Practice 10
- Artificial Intelligence 78
- Computer Science Applications 12
- Safety Research 17
Countries citing papers authored by David Baltaxe
This map shows the geographic impact of David Baltaxe'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 David Baltaxe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Baltaxe more than expected).
Fields of papers citing papers by David Baltaxe
This network shows the impact of papers produced by David Baltaxe. 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 David Baltaxe. The network helps show where David Baltaxe may publish in the future.
Co-authors
The 25 scholars most cited alongside David Baltaxe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 140 | |
| 2 | 2016 | 33 | |
| 3 | 2018 | 32 | |
| 4 | 2020 | 22 | |
| 5 | 2018 | 4 | |
| 6 | 2016 | 3 | |
| 7 | 2019 | 1 |
About David Baltaxe
David Baltaxe is a scholar working on Social Psychology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics and Computer Science Applications, having authored 7 papers that have together received 235 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Complex Network Analysis Techniques (1 paper), Decision-Making and Behavioral Economics (1 paper), Species Distribution and Climate Change (1 paper), Team Dynamics and Performance (1 paper), Forecasting Techniques and Applications (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Health Informatics (51 citations), Family Practice (10 citations), Artificial Intelligence (78 citations), Computer Science Applications (12 citations) and Safety Research (17 citations). David Baltaxe has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Louis Rosenberg, Safwan S. Halabi, Matthew P. Lungren, Gregg Willcox, Niccolò Pescetelli, Joseph Mammarappallil, Timothy J. Amrhein, Bhavik N. Patel, Evan J. Zucker and Jeremy Irvin. Their work appears in journals such as npj Digital Medicine, Frontiers in Ecology and the Environment, Journal of Creative Communications and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
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.