Jonathan K. Kummerfeld

1.4k citations
39 papers · 558 · h-index 13

Impact in

Papers in

    • Topic Modeling 26
    • Natural Language Processing Techniques 20
    • Speech and dialogue systems 8
    • Text Readability and Simplification 3
    • Hate Speech and Cyberbullying Detection 2
    • Machine Learning and Algorithms 2
    • Software Engineering Research 3

Jonathan K. Kummerfeld

33 papers receiving 524 citations

Peers

Jonathan K. Kummerfeld
Comparison fields: 5 of 82
  • Artificial Intelligence 268
  • Condensed Matter Physics 66
  • Ceramics and Composites 26
  • Materials Chemistry 162
  • Health Informatics 4
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Citations per year

Countries citing papers authored by Jonathan K. Kummerfeld

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan K. Kummerfeld

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010135
2
Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output
201250
3 201747
4 200845
5 201333
6 202425
7 201920
8 201919
9 201816
10 201316
11 201815
12
Faster Parsing by Supertagger Adaptation
201014
13 202412
14
An Empirical Examination of Challenges in Chinese Parsing
201311
15 202011
16 202110
17
Mention Detection: Heuristics for the OntoNotes annotations
20119
18 20159
19 20197
20 20207

About Jonathan K. Kummerfeld

Jonathan K. Kummerfeld is a scholar working on Artificial Intelligence, Information Systems, Computer Science Applications, Sociology and Political Science and Molecular Biology, having authored 39 papers that have together received 558 indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Natural Language Processing Techniques (20 papers), Speech and dialogue systems (8 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Software Engineering Research (3 papers), Text Readability and Simplification (3 papers), Hate Speech and Cyberbullying Detection (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (268 citations), Condensed Matter Physics (66 citations), Ceramics and Composites (26 citations), Materials Chemistry (162 citations) and Health Informatics (4 citations). Jonathan K. Kummerfeld has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Dan Klein, Peter Harrowell, James Curran, Raphaël Candelier, Giulio Biroli, Olivier Dauchot, David R. Reichman, Asaph Widmer‐Cooper, Toby Hudson and David Hall. Their work appears in journals such as The Journal of Physical Chemistry B, The Astrophysical Journal Supplement Series, IEEE Intelligent Systems, Computer Speech & Language and Transactions of the Association for Computational Linguistics.

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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