Donald Hindle

3.3k citations
40 papers · 1.7k · h-index 17

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Speech Recognition and Synthesis
    • Advanced Text Analysis Techniques
    • Text Readability and Simplification
    • Algorithms and Data Compression

Papers in

Donald Hindle

38 papers receiving 1.4k citations

Peers

Donald Hindle
Comparison fields: 5 of 97
  • Artificial Intelligence 1.5k
  • Language and Linguistics 171
  • Information Systems 174
  • Signal Processing 83
  • Health Information Management 34
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Citations per field
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Citations per year

Countries citing papers authored by Donald Hindle

Since Specialization
Citations

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

Fields of papers citing papers by Donald Hindle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald Hindle. 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 Donald Hindle. The network helps show where Donald Hindle may publish in the future.

Co-authors

The 25 scholars most cited alongside Donald Hindle, 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 Donald Hindle Line = papers co-authored together Donald Hindle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990355
2 1990293
3 1991282
4 1983100
5 198395
6
AT&T at TREC-7
199885
7 198961
8
A procedure for quantitatively comparing the syntactic coverage of English
199161
9 198958
10 200637
11
AT&T at TREC-8.
199933
12 200329
13
Evaluating syntax performance of parser/grammars
199129
14 200227
15 199127
16 200421
17
The AT&t 60,000 word speech-to-text system.
199520
18 197216
19 200113
20 198812

About Donald Hindle

Donald Hindle is a scholar working on Artificial Intelligence, Health Information Management, General Health Professions, Language and Linguistics and Emergency Medicine, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Speech and dialogue systems (9 papers), Medical Coding and Health Information (6 papers), Speech Recognition and Synthesis (6 papers), Topic Modeling (5 papers), Emergency and Acute Care Studies (4 papers), Healthcare Policy and Management (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Language and Linguistics (171 citations), Information Systems (174 citations), Signal Processing (83 citations) and Health Information Management (34 citations). Donald Hindle has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mats Rooth, Mitchell P. Marcus, Steven Abney, Margaret M. Fleck, Tomek Strzalkowski, Robert Ingria, Amit Singhal, Fernando C. N. Pereira, Judith L. Klavans and Mark Liberman. Their work appears in journals such as The International Journal of Psychoanalysis, Journal of the Neurological Sciences, Computational Linguistics, Health Services Management Research and Der Chirurg.

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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