James Henderson

3.1k total citations
84 papers, 1.6k citations indexed

About

James Henderson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, James Henderson has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Molecular Biology. Recurrent topics in James Henderson's work include Topic Modeling (66 papers), Natural Language Processing Techniques (61 papers) and Speech and dialogue systems (22 papers). James Henderson is often cited by papers focused on Topic Modeling (66 papers), Natural Language Processing Techniques (61 papers) and Speech and dialogue systems (22 papers). James Henderson collaborates with scholars based in Switzerland, United Kingdom and United States. James Henderson's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Human Molecular Genetics.

In The Last Decade

James Henderson

79 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Henderson Switzerland 24 1.5k 214 82 75 69 84 1.6k
Georgiana Dinu Germany 14 1.1k 0.8× 138 0.6× 81 1.0× 74 1.0× 73 1.1× 28 1.3k
Ashish Vaswani United States 14 590 0.4× 196 0.9× 45 0.5× 114 1.5× 84 1.2× 27 863
Germán Kruszewski Italy 10 942 0.6× 110 0.5× 90 1.1× 71 0.9× 66 1.0× 14 1.1k
John Hewitt United States 8 771 0.5× 183 0.9× 86 1.0× 67 0.9× 38 0.6× 11 975
Jeff Mitchell United Kingdom 7 1.0k 0.7× 93 0.4× 71 0.9× 86 1.1× 54 0.8× 12 1.1k
Siva Reddy United Kingdom 18 1.1k 0.7× 273 1.3× 104 1.3× 28 0.4× 36 0.5× 61 1.2k
Alexander Koller Germany 19 1.2k 0.8× 192 0.9× 59 0.7× 104 1.4× 27 0.4× 107 1.5k
Raffaella Bernardi Italy 13 1.2k 0.8× 466 2.2× 59 0.7× 40 0.5× 76 1.1× 69 1.4k
Loïc Barrault France 11 1.4k 1.0× 405 1.9× 158 1.9× 20 0.3× 75 1.1× 36 1.6k
Stanley F. Chen United States 15 2.2k 1.5× 252 1.2× 236 2.9× 73 1.0× 111 1.6× 22 2.5k

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-authorship network of co-authors of James Henderson

This figure shows the co-authorship network connecting the top 25 collaborators of James Henderson. A scholar is included among the top collaborators of James Henderson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Henderson. James Henderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Milighetti, Martina, et al.. (2025). Contrastive learning of T cell receptor representations. Cell Systems. 16(1). 101165–101165. 2 indexed citations
2.
Moens, Marie‐Francine, et al.. (2024). GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction. Lirias (KU Leuven). 1–14.
3.
Scialom, Thomas, et al.. (2023). RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question. 6845–6867. 5 indexed citations
4.
Henderson, James, et al.. (2022). Unsupervised Token-level Hallucination Detection from Summary Generation By-products. 248–261. 1 indexed citations
5.
Bérard, Alexandre, et al.. (2022). What Do Compressed Multilingual Machine Translation Models Forget?. 4308–4329. 4 indexed citations
6.
Mai, Florian, et al.. (2020). Plug and Play Autoencoders for Conditional Text Generation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6076–6092. 15 indexed citations
7.
Mahabadi, Rabeeh Karimi, Yonatan Belinkov, & James Henderson. (2020). End-to-End Bias Mitigation by Modelling Biases in Corpora. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 66 indexed citations
8.
Ram, Dhananjay, et al.. (2018). Document-Level Neural Machine Translation with Hierarchical Attention Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2947–2954. 139 indexed citations
9.
Garg, Nikhil & James Henderson. (2012). Unsupervised Semantic Role Induction with Global Role Ordering. Meeting of the Association for Computational Linguistics. 145–149. 8 indexed citations
10.
Henderson, James. (2011). Bayesian Network Automata for Modelling Unbounded Structures. 63–74. 1 indexed citations
11.
Gesmundo, Andréa & James Henderson. (2011). Heuristic Search for Non-Bottom-Up Tree Structure Prediction. Empirical Methods in Natural Language Processing. 899–908. 2 indexed citations
12.
Plas, Lonneke van der, Paola Merlo, & James Henderson. (2011). Scaling up Automatic Cross-Lingual Semantic Role Annotation. Meeting of the Association for Computational Linguistics. 299–304. 40 indexed citations
13.
Garg, Nikhil & James Henderson. (2011). Temporal Restricted Boltzmann Machines for Dependency Parsing. Meeting of the Association for Computational Linguistics. 11–17. 9 indexed citations
14.
Henderson, James & Ivan Titov. (2010). Incremental Sigmoid Belief Networks for Grammar Learning. Journal of Machine Learning Research. 11(115). 3541–3570. 7 indexed citations
15.
Titov, Ivan, et al.. (2009). Online graph planarisation for synchronous parsing of semantic and syntactic dependencies. International Joint Conference on Artificial Intelligence. 1562–1567. 32 indexed citations
16.
Henderson, James. (2007). A Connectionist Architecture with Inherent Systematicity0. Adaptive Human Behavior and Physiology. 7(4). 432–446.
17.
Titov, Ivan & James Henderson. (2007). Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model. Empirical Methods in Natural Language Processing. 947–951. 29 indexed citations
18.
Henderson, James. (2003). Generative versus Discriminative Models for Statistical Left-Corner Parsing.. 115–126. 5 indexed citations
19.
Henderson, James. (2000). A Neural Network Parser that Handles Sparse Data.. 123–134. 9 indexed citations
20.
Henderson, James. (1993). Review of Connectionist approaches to natural language processing by Ronan G. Reilly and Noel E. Sharkey. Lawrence Erlbaum Associates 1992.. Computational Linguistics. 19(3). 557–559. 6 indexed citations

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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