Robert L. Logan
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Co-authors
- Sameer SinghEric WallaceTaylor ShinP. J. ScottSean D. YoungYoshitomo MatsubaraPatrick T. PringleRobert L. Schuster
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (7 papers)Speech and dialogue systems (2 papers)
- Partner nations
- United StatesUnited KingdomNew Zealand
In The Last Decade
Robert L. Logan
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 747
- Computer Vision and Pattern Recognition 227
- Cardiology and Cardiovascular Medicine 182
- Sociology and Political Science 126
- Information Systems 125
Countries citing papers authored by Robert L. Logan
This map shows the geographic impact of Robert L. Logan'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 L. Logan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert L. Logan more than expected).
Fields of papers citing papers by Robert L. Logan
This network shows the impact of papers produced by Robert L. Logan. 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 L. Logan. The network helps show where Robert L. Logan may publish in the future.
Co-authorship network of co-authors of Robert L. Logan
This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. Logan. A scholar is included among the top collaborators of Robert L. Logan 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 L. Logan. Robert L. Logan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 37 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Promptsbreakdown → | 674 |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 25 | |
| 10 | Multimodal Attribute Extraction. | 1 |
| 11 | 6 | |
| 12 | 92 | |
| 13 | 10 | |
| 14 | Symptoms associated with myocardial infarction: are they of diagnostic value? | 7 |
| 15 | 8 | |
| 16 | 139 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 124 | |
| 20 | 1 |
About Robert L. Logan
Robert L. Logan is a scholar working on Family Practice, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (7 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (747 citations), Health Informatics (20 citations) and Family Practice (29 citations). Robert L. Logan has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Sameer Singh, Eric Wallace, Taylor Shin, P. J. Scott, Sean D. Young, Yoshitomo Matsubara, Patrick T. Pringle, Robert L. Schuster, R M Norris and D. N. Sharpe. Their work appears in journals such as Science, The Lancet and Journal of the American Medical Informatics Association.
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.