John A. Carroll

965 citations
12 papers · 627 · 1 hit paper · h-index 8

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Machine Learning in Healthcare
    • Semantic Web and Ontologies
    • Text Readability and Simplification
    • Artificial Intelligence in Healthcare

Papers in

    • Natural Language Processing Techniques 10
    • Topic Modeling 8
    • Speech and dialogue systems 4
    • Speech Recognition and Synthesis 1
    • Algorithms and Data Compression 1
    • Biomedical Text Mining and Ontologies 2

John A. Carroll

10 papers receiving 544 citations

John A. Carroll's Hit Papers

Extracting information from the text of electronic medical records to improve case detection: a systematic review 2016 · 282 citations
2820+3+6Years since publication50100150200250

Peers

John A. Carroll
Comparison fields: 5 of 86
  • Artificial Intelligence 377
  • Health Information Management 46
  • Health Informatics 13
  • Language and Linguistics 25
  • Information Systems 52
Replace Samuel Bayer with:
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Maria Skeppstedt Sweden
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Naomi Sager United States
Cyril Grouin France
Samir Abdelrahman United States
Philipp Daumke Germany
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John A. Carroll relative to Samuel Bayer United States Samuel Bayer's profile →
Citations per field
00.5×1.5×2.3×
Samuel Bayer · 1×
Citations per year

Countries citing papers authored by John A. Carroll

Since Specialization
Citations

This map shows the geographic impact of John A. Carroll'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 John A. Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Carroll more than expected).

Fields of papers citing papers by John A. Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Carroll. 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 John A. Carroll. The network helps show where John A. Carroll may publish in the future.

Co-authors

The 12 scholars most cited alongside John A. Carroll, 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 John A. Carroll Line = papers co-authored together John A. Carroll links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Extracting information from the text of electronic medical records to improve case detection: a systematic review
Hit paper breakdown →
2016282
2 2002184
3 199632
4 199831
5
A Proposed Methodology for Web Development
200030
6
Developing and Evaluating a Probabilistic LR Parser of Part-of-Speech and Punctuation Labels
199521
7 200819
8 201115
9
English Recipe Flow Graph Corpus.
20206
10 19835
11 20022
12 20210

About John A. Carroll

John A. Carroll is a scholar working on Artificial Intelligence, Molecular Biology, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 627 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers), Speech and dialogue systems (4 papers), Biomedical Text Mining and Ontologies (2 papers), Multimedia Communication and Technology (1 paper), Speech Recognition and Synthesis (1 paper), Usability and User Interface Design (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Artificial Intelligence (377 citations), Health Information Management (46 citations), Health Informatics (13 citations), Language and Linguistics (25 citations) and Information Systems (52 citations). John A. Carroll has collaborated with scholars based in United Kingdom, South Sudan and Japan. Frequent co-authors include Ted Briscoe, Donia Scott, Elizabeth Ford, Jackie Cassell, Helen Smith, Debra Howcroft, Guido Minnen, Øistein E. Andersen, A. Rosemary Tate and Rob Koeling. Their work appears in journals such as Language Resources and Evaluation, Journal of the American Medical Informatics Association, Journal of the Association for Information Systems, CL Technical Reports and arXiv (Cornell University).

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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