Stephen Pulman

3.3k total citations
110 papers, 1.5k citations indexed

About

Stephen Pulman is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Stephen Pulman has authored 110 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 9 papers in Information Systems and 9 papers in Language and Linguistics. Recurrent topics in Stephen Pulman's work include Natural Language Processing Techniques (54 papers), Topic Modeling (33 papers) and Speech and dialogue systems (21 papers). Stephen Pulman is often cited by papers focused on Natural Language Processing Techniques (54 papers), Topic Modeling (33 papers) and Speech and dialogue systems (21 papers). Stephen Pulman collaborates with scholars based in United Kingdom, United States and Spain. Stephen Pulman's co-authors include Rachele De Felice, David Milward, Christos Ouzounis, Mark Carroll, James Thomas, Stephen Clark, Mehrnoosh Sadrzadeh, Dimitri Kartsaklis, Johan Bos and Brandon R. Macias and has published in prestigious journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Future Generation Computer Systems.

In The Last Decade

Stephen Pulman

99 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Pulman United Kingdom	23	1.2k	204	170	126	83	110	1.5k
Roxana Gîrju United States	24	1.9k 1.6×	191 0.9×	337 2.0×	120 1.0×	38 0.5×	65	2.1k
Torsten Zesch Germany	25	1.6k 1.4×	124 0.6×	313 1.8×	65 0.5×	20 0.2×	117	1.8k
András Kornai Hungary	17	616 0.5×	56 0.3×	82 0.5×	181 1.4×	73 0.9×	75	1.0k
Leah S. Larkey United States	16	1.1k 0.9×	142 0.7×	476 2.8×	29 0.2×	40 0.5×	22	1.4k
Claudia Leacock United States	20	2.1k 1.7×	85 0.4×	359 2.1×	215 1.7×	42 0.5×	32	2.4k
Tomek Strzalkowski United States	20	1.4k 1.2×	57 0.3×	347 2.0×	52 0.4×	40 0.5×	117	1.6k
Richard Power United Kingdom	20	861 0.7×	108 0.5×	103 0.6×	121 1.0×	25 0.3×	70	1.2k
Nancy Ide United States	24	2.2k 1.9×	171 0.8×	273 1.6×	415 3.3×	74 0.9×	118	2.5k
C. Brew United States	19	821 0.7×	29 0.1×	129 0.8×	71 0.6×	35 0.4×	64	1.0k
Rashmi Prasad United States	26	2.7k 2.3×	226 1.1×	193 1.1×	259 2.1×	39 0.5×	78	3.1k

Countries citing papers authored by Stephen Pulman

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Pulman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Pulman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Whitelock, Denise, et al.. (2014). OpenEssayist: real-life testing of an automated feedback system for draft essay writing. Open Research Online (The Open University). 1 indexed citations

Greaves, Felix, Anthony A Laverty, Daniel Ramirez-Cano, et al.. (2014). ANALYSIS OF PATIENTS' COMMENTS ABOUT HOSPITALS IN THE ENGLISH NHS VIA TWITTER, AND COMPARISON WITH PATIENT SURVEYS. BMJ Quality & Safety. 23(4). 348.2–348. 5 indexed citations

Kartsaklis, Dimitri, Mehrnoosh Sadrzadeh, & Stephen Pulman. (2013). Separating Disambiguation from Composition in Distributional Semantics. Oxford University Research Archive (ORA) (University of Oxford). 114–123. 25 indexed citations

Pulman, Stephen, et al.. (2013). Did I really mean that? Applying automatic summarisation techniques to formative feedback. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 9. 277–284. 3 indexed citations

Whitelock, Denise, et al.. (2013). What is my essay really saying? Using extractive summarization to motivate reflection and redrafting. Open Research Online (The Open University). 6 indexed citations

Bunt, Harry, Johan Bos, & Stephen Pulman. (2013). Computing Meaning. Data Archiving and Networked Services (DANS).

Hermann, Karl Moritz, Phil Blunsom, & Stephen Pulman. (2012). An Unsupervised Ranking Model for Noun-Noun Compositionality. Oxford University Research Archive (ORA) (University of Oxford). 132–141. 9 indexed citations

Kartsaklis, Dimitri, Mehrnoosh Sadrzadeh, & Stephen Pulman. (2012). A Unified Sentence Space for Categorical Distributional-Compositional Semantics: Theory and Experiments. Oxford University Research Archive (ORA) (University of Oxford). 549–558. 33 indexed citations

Dobó, András & Stephen Pulman. (2011). Interpreting noun compounds using paraphrases. Procesamiento del lenguaje natural. 46(46). 59–66. 1 indexed citations

10.

Pulman, Stephen. (2011). Automated Grammatical Error Detection for Language Learners Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault (Butler Hill Group, Hunter College, Microsoft Research, Educational Testing Service) Morgan & Claypool (Synthesis lectures on human language technologies, edited by Graeme Hirst, volume 9), 2010, ix+122 pp; paperbound, ISBN 978-1-60845-470-9, $40; ebook, ISBN 978-1-60845-471-6, $30 or by subscription. Computational Linguistics. 37(3). 617–618.

11.

Pulman, Stephen. (2010). Handling User Interruptions in an Embodied Conversational Agent. Adaptive Agents and Multi-Agents Systems. 8 indexed citations

12.

Pulman, Stephen, et al.. (2009). Multi-entity Sentiment Scoring. Oxford University Research Archive (ORA) (University of Oxford). 258–263. 25 indexed citations

13.

Clark, Stephen & Stephen Pulman. (2007). Combining Symbolic and Distributional Models of Meaning. Oxford University Research Archive (ORA) (University of Oxford). 52–55. 64 indexed citations

14.

Cussens, James & Stephen Pulman. (2000). Incorporating linguistics constraints into inductive logic programming. Bristol Research (University of Bristol). 7. 184–184. 6 indexed citations

15.

Pulman, Stephen. (1999). Computer Processable English and McLogic. 100(23). 2041–2049. 3 indexed citations

16.

Pulman, Stephen. (1996). Unification encodings of grammatical notations. Computational Linguistics. 22(3). 295–327. 8 indexed citations

17.

Pulman, Stephen. (1993). A feature based formalism for two−level phonology. Computer Speech & Language. 7. 1 indexed citations

18.

Pulman, Stephen. (1993). Higher Order Unification and the Semantics of Focus. Oxford University Research Archive (ORA) (University of Oxford). 2 indexed citations

19.

Alshawi, Hiyan, David M. Carter, Jan van Eijck, et al.. (1988). Overview of the Core Language Engine. Future Generation Computer Systems. 3. 1108–1115. 1 indexed citations

20.

Ritchie, Graéme, et al.. (1987). A computational framework for lexical description. Computational Linguistics. 13(3). 290–307. 19 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.

Explore authors with similar magnitude of impact