Matthew Henderson

5.0k total citations
39 papers, 1.3k citations indexed

About

Matthew Henderson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Matthew Henderson has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Matthew Henderson's work include Speech and dialogue systems (27 papers), Topic Modeling (25 papers) and Multi-Agent Systems and Negotiation (11 papers). Matthew Henderson is often cited by papers focused on Speech and dialogue systems (27 papers), Topic Modeling (25 papers) and Multi-Agent Systems and Negotiation (11 papers). Matthew Henderson collaborates with scholars based in United Kingdom, United States and Singapore. Matthew Henderson's co-authors include Blaise Thomson, J. D. Williams, Steve Young, Antoine Raux, Pirros Tsiakoulis, Milica Gašić, Catherine Breslin, Kai Yu, Martin Szummer and Dongho Kim and has published in prestigious journals such as Hydrological Processes, npj Computational Materials and AI Magazine.

In The Last Decade

Matthew Henderson

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Henderson United Kingdom	19	1.2k	173	48	36	28	39	1.3k
Roy Frostig United States	6	846 0.7×	252 1.5×	112 2.3×	5 0.1×	26 0.9×	10	953
Łukasz Kaiser France	11	592 0.5×	227 1.3×	27 0.6×	6 0.2×	12 0.4×	30	771
Qinliang Su China	12	400 0.3×	146 0.8×	53 1.1×	10 0.3×	95 3.4×	50	594
Sayaka Shiota Japan	12	282 0.2×	350 2.0×	24 0.5×	8 0.2×	12 0.4×	66	626
Cyril Allauzen United States	17	852 0.7×	58 0.3×	28 0.6×	5 0.1×	19 0.7×	55	926
Onur Günlü Germany	11	199 0.2×	76 0.4×	25 0.5×	5 0.1×	115 4.1×	45	436
Shu Cai China	10	957 0.8×	132 0.8×	55 1.1×	4 0.1×	95 3.4×	43	1.3k
Wenhao Liu China	10	135 0.1×	465 2.7×	35 0.7×	12 0.3×	46 1.6×	23	669
Chuang Lin China	10	176 0.1×	360 2.1×	18 0.4×	7 0.2×	41 1.5×	27	484
Dante Augusto Couto Barone Brazil	12	156 0.1×	167 1.0×	36 0.8×	6 0.2×	24 0.9×	81	462

Countries citing papers authored by Matthew Henderson

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Henderson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Henderson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Henderson. A scholar is included among the top collaborators of Matthew 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 Matthew Henderson. Matthew Henderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rakowski, Alexander, Stephanie M. Ribet, Steven E. Zeltmann, et al.. (2024). Random forest prediction of crystal structure from electron diffraction patterns incorporating multiple scattering. Physical Review Materials. 8(9).

Imanian, Behzad, John Donaghy, Sanjay Gummalla, et al.. (2022). The power, potential, benefits, and challenges of implementing high-throughput sequencing in food safety systems. npj Science of Food. 6(1). 35–35. 22 indexed citations

Varadharajan, Charuleka, Eoin Brodie, Rosemary Carroll, et al.. (2021). The Colorado East River Community Observatory Data Collection. Hydrological Processes. 35(6). 14 indexed citations

Bullock, Matthew, et al.. (2019). The SuiteSparse Matrix Collection Website Interface. The Journal of Open Source Software. 4(35). 1244–1244. 72 indexed citations

Henderson, Matthew, Ivan Vulić, Iñigo Casanueva, et al.. (2019). PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking. 181–186. 8 indexed citations

Henderson, Matthew, Paweł Budzianowski, Iñigo Casanueva, et al.. (2019). A Repository of Conversational Datasets. 1–10. 43 indexed citations

Kim, Seokhwan, Luis Fernando D’Haro, Rafael E. Banchs, J. D. Williams, & Matthew Henderson. (2016). The Fourth Dialog State Tracking Challenge.. 435–449. 34 indexed citations

Henderson, Matthew, Blaise Thomson, & Steve Young. (2014). Word-Based Dialog State Tracking with Recurrent Neural Networks. 292–299. 161 indexed citations

Henderson, Matthew, Blaise Thomson, & Steve Young. (2014). Word-Based Dialog State Tracking with Recurrent Neural Networks. 292–299.

10.

Henderson, Matthew, Blaise Thomson, & J. D. Williams. (2014). The Second Dialog State Tracking Challenge. 263–272. 1 indexed citations

11.

Henderson, Matthew, Blaise Thomson, & J. D. Williams. (2014). The Second Dialog State Tracking Challenge. 263–272. 274 indexed citations

12.

Tsiakoulis, Pirros, Catherine Breslin, Milica Gašić, et al.. (2014). Dialogue context sensitive HMM-based speech synthesis. 2554–2558. 4 indexed citations

13.

Gašić, Milica, Catherine Breslin, Matthew Henderson, et al.. (2013). POMDP-based dialogue manager adaptation to extended domains. Cambridge University Engineering Department Publications Database. 214–222. 35 indexed citations

14.

Henderson, Matthew, Blaise Thomson, & Steve Young. (2013). Deep Neural Network Approach for the Dialog State Tracking Challenge. Cambridge University Engineering Department Publications Database. 467–471. 77 indexed citations

15.

Breslin, Catherine, Matthew Henderson, Martin Szummer, et al.. (2013). On-line policy optimisation of Bayesian spoken dialogue systems via human interaction. Zenodo (CERN European Organization for Nuclear Research). 8367–8371. 35 indexed citations

16.

Breslin, Catherine, Matthew Henderson, Martin Szummer, et al.. (2013). Continuous asr for flexible incremental dialogue. 2. 8362–8366. 5 indexed citations

17.

Tsiakoulis, Pirros, et al.. (2012). The Effect of Cognitive Load on a Statistical Dialogue System. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 74–78. 6 indexed citations

18.

Henderson, Matthew, Milica Gašić, Blaise Thomson, et al.. (2012). Discriminative spoken language understanding using word confusion networks. 10. 176–181. 78 indexed citations

19.

Tsiakoulis, Pirros, Milica Gašić, Matthew Henderson, et al.. (2012). Statistical methods for building robust spoken dialogue systems in an automobile. Cambridge University Engineering Department Publications Database. 5 indexed citations

20.

Henderson, Matthew, et al.. (2012). Policy optimisation of POMDP-based dialogue systems without state space compression. 5. 31–36. 12 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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