James Henderson

3.1k citations
84 papers · 1.6k · h-index 24

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Speech and dialogue systems
    • Multi-Agent Systems and Negotiation
    • Text Readability and Simplification
    • Speech Recognition and Synthesis
    • Text and Document Classification Technologies
    • Multimodal Machine Learning Applications

Papers in

James Henderson

79 papers receiving 1.5k citations

Peers

James Henderson
Comparison fields: 5 of 76
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 215
  • Cognitive Neuroscience 75
  • Information Systems 81
  • Software 13
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John Hewitt United States
Georgiana Dinu Germany
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Citations per field
00.5×20×40×69×
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Citations per year

Countries citing papers authored by James Henderson

Since Specialization
Citations

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

Fields of papers citing papers by James Henderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 200884
3 200583
4
Hybrid reinforcement/supervised learning for dialogue policies from COMMUNICATOR data
200572
5 200671
6 202067
7 200467
8 200359
9
Connectionist Approaches to Natural Language Processing
199357
10 201955
11 200648
12 200646
13 201541
14
Scaling up Automatic Cross-Lingual Semantic Role Annotation
201140
15 201334
16 200834
17 200933
18
Online graph planarisation for synchronous parsing of semantic and syntactic dependencies
200932
19
Constituent Parsing with Incremental Sigmoid Belief Networks
200729
20
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
200729

About James Henderson

James Henderson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Cultural Studies, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (66 papers), Natural Language Processing Techniques (61 papers), Speech and dialogue systems (22 papers), Multi-Agent Systems and Negotiation (8 papers), Speech Recognition and Synthesis (7 papers), Text Readability and Simplification (7 papers), Multimodal Machine Learning Applications (6 papers) and Language and cultural evolution (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (215 citations), Cognitive Neuroscience (75 citations), Information Systems (81 citations) and Software (13 citations). James Henderson has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Oliver Lemon, Kallirroi Georgila, Ivan Titov, Nikolaos Pappas, Paola Merlo, Majid Yazdani, Dhananjay Ram, Rabeeh Karimi Mahabadi, Yonatan Belinkov and Peter C. R. Lane. Their work appears in journals such as Computational Linguistics, Natural Language Engineering, Transactions of the Association for Computational Linguistics, Human Molecular Genetics and Journal of Psycholinguistic Research.

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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