Eric K. Ringger

1.8k citations
65 papers · 1.3k · h-index 19

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Machine Learning and Algorithms

Papers in

Eric K. Ringger

63 papers receiving 1.2k citations

Peers

Eric K. Ringger
Comparison fields: 5 of 73
  • Artificial Intelligence 1.1k
  • Information Systems 197
  • Computer Science Applications 46
  • Computer Vision and Pattern Recognition 168
  • Information Systems and Management 45
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Citations per field
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Citations per year

Countries citing papers authored by Eric K. Ringger

Since Specialization
Citations

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

Fields of papers citing papers by Eric K. Ringger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric K. Ringger. 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 Eric K. Ringger. The network helps show where Eric K. Ringger may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005366
2 1996159
3
Task-Focused Summarization of Email
200464
4 200750
5
An Overview of Amalgam: A Machine-learned Generation Module
200235
6 201331
7 200231
8 200231
9 200431
10 200828
11 200825
12 199823
13
Proceedings of the 2013 NAACL HLT Student Research Workshop
201321
14 200921
15
Evaluating Models of Latent Document Semantics in the Presence of OCR Errors
201021
16 201120
17 201020
18 200020
19 200620
20
Robust Understanding in a Dialogue System
199518

About Eric K. Ringger

Eric K. Ringger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Science Applications and Signal Processing, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (35 papers), Topic Modeling (35 papers), Speech and dialogue systems (14 papers), Handwritten Text Recognition Techniques (11 papers), Algorithms and Data Compression (8 papers), Machine Learning and Algorithms (8 papers), Speech Recognition and Synthesis (5 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Information Systems (197 citations), Computer Science Applications (46 citations), Computer Vision and Pattern Recognition (168 citations) and Information Systems and Management (45 citations). Eric K. Ringger has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael Gamon, Simon Corston-Oliver, Anthony Aue, James F. Allen, Kevin Seppi, Richard Campbell, Robert C. Moore, James L. Carroll, Deryle Lonsdale and Lucian Galescu. Their work appears in journals such as Language Resources and Evaluation, Journal of Hazardous Materials, American Journal of Infection Control, Lecture notes in computer science and IFIP International Federation for Information Processing/IFIP.

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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