Robert L. Logan

2.3k citations
28 papers · 1.4k · 1 hit paper · h-index 11

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Domain Adaptation and Few-Shot Learning
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques

Papers in

Robert L. Logan

27 papers receiving 1.3k citations

Robert L. Logan's Hit Papers

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts 2020 · 674 citations
6740+2+4Years since publication200400600

Peers

Robert L. Logan
Comparison fields: 5 of 142
  • Artificial Intelligence 747
  • Health Informatics 20
  • Family Practice 29
  • Computer Vision and Pattern Recognition 227
  • Cardiology and Cardiovascular Medicine 182
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Citations per field
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Citations per year

Countries citing papers authored by Robert L. Logan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Robert L. Logan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert L. Logan Line = papers co-authored together Robert L. Logan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Hit paper breakdown →
2020674
2 1984139
3 2020137
4 1978124
5 199692
6 199263
7 202237
8 201925
9 199115
10 202213
11 198810
12 20209
13 19868
14
Symptoms associated with myocardial infarction: are they of diagnostic value?
19867
15 19996
16 19776
17 19825
18 20215
19 20224
20 19803

About Robert L. Logan

Robert L. Logan is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Sociology and Political Science, Physiology and General Health Professions, 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), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Speech and dialogue systems (2 papers), Advanced Text Analysis Techniques (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Misinformation and Its Impacts (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (747 citations), Health Informatics (20 citations), Family Practice (29 citations), Computer Vision and Pattern Recognition (227 citations) and Cardiology and Cardiovascular Medicine (182 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, D. N. Sharpe and Matthew A. Brown. Their work appears in journals such as The Lancet, Advances in experimental medicine and biology, Forum of nutrition/Bibliotheca Nutritio et dieta, Information Processing & Management and Science.

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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