Daniel Hardt

1.6k citations
55 papers · 674 · h-index 13

Impact in

Papers in

    • Natural Language Processing Techniques 26
    • Topic Modeling 7
    • Logic, Reasoning, and Knowledge 7
    • Sentiment Analysis and Opinion Mining 6
    • Speech and dialogue systems 3
    • Syntax, Semantics, Linguistic Variation 19

Daniel Hardt

51 papers receiving 562 citations

Peers

Daniel Hardt
Comparison fields: 5 of 79
  • Language and Linguistics 324
  • Artificial Intelligence 407
  • Experimental and Cognitive Psychology 98
  • Philosophy 77
  • Linguistics and Language 30
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Citations per year

Countries citing papers authored by Daniel Hardt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Verb phrase ellipsis: form, meaning, and processing
1993124
2 199990
3
The process of post-editing: a pilot study
201148
4 200438
5 200130
6
An empirical approach to VP ellipsis
199728
7
Incremental Re-training for Post-editing SMT
201026
8 202325
9 202123
10
Universal Joy A Data Set and Results for Classifying Emotions Across Languages
202117
11 201615
12 199213
13 199212
14 200212
15 201511
16 199211
17 201811
18
Nudging in Blended Learning: Evaluation of Email-based progress feedback in a Flipped-Classroom Information Systems Course
201910
19 199710
20
What is the meaning of 5 *'s? An investigation of the expression and rating of sentiment
20129

About Daniel Hardt

Daniel Hardt is a scholar working on Artificial Intelligence, Language and Linguistics, Sociology and Political Science, Philosophy and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 674 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (26 papers), Syntax, Semantics, Linguistic Variation (19 papers), Topic Modeling (7 papers), Logic, Reasoning, and Knowledge (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Linguistics and Discourse Analysis (5 papers), Language and cultural evolution (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Language and Linguistics (324 citations), Artificial Intelligence (407 citations), Experimental and Cognitive Psychology (98 citations), Philosophy (77 citations) and Linguistics and Language (30 citations). Daniel Hardt has collaborated with scholars based in Denmark, United States and France. Frequent co-authors include Nicholas Asher, Joan Busquets, Barbara Dragsted, Michaël Carl, Arnt Lykke Jakobsen, Dirk Hovy, Helle Zinner Henriksen, Ojelanki Ngwenyama, Line Mikkelsen and Owen Rambow. Their work appears in journals such as Linguistics and Philosophy, Journal of Semantics, Journal of the Association for Information Systems, Language and Scientific Reports.

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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