James Curran

15.1k total citations · 3 hit papers
213 papers, 8.6k citations indexed

About

James Curran is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, James Curran has authored 213 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Artificial Intelligence, 19 papers in Sociology and Political Science and 17 papers in Molecular Biology. Recurrent topics in James Curran's work include Natural Language Processing Techniques (95 papers), Topic Modeling (94 papers) and Semantic Web and Ontologies (22 papers). James Curran is often cited by papers focused on Natural Language Processing Techniques (95 papers), Topic Modeling (94 papers) and Semantic Web and Ontologies (22 papers). James Curran collaborates with scholars based in Australia, United Kingdom and United States. James Curran's co-authors include Robert Blackburn, Janet Woollacott, Michael Gurevitch, Stephen Clark, Stephen Clark, John Stanworth, Tara Murphy, Michael J. Sullivan, Tony Bennett and Joel Nothman and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Monthly Notices of the Royal Astronomical Society and BMJ.

In The Last Decade

James Curran

199 papers receiving 7.2k citations

Hit Papers

Mass Communication and Society. 1978 2026 1994 2010 1978 1983 2003 200 400 600

Peers

James Curran
Comparison fields: 5 of 182
  • Artificial Intelligence 2.9k
  • Sociology and Political Science 1.5k
  • Management of Technology and Innovation 1.2k
  • Communication 952
  • Organizational Behavior and Human Resource Management 862
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Steve Woolgar United Kingdom View profile →
Citations per field, relative to James Curran
James Curran · 1×
Citations per year, relative to James Curran
James Curran · 1×

Countries citing papers authored by James Curran

Since Specialization
Citations

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

Fields of papers citing papers by James Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Curran

This figure shows the co-authorship network connecting the top 25 collaborators of James Curran. A scholar is included among the top collaborators of James Curran 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 Curran. James Curran 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
# Work Indexed citations
1 1
2
Joint Apposition Extraction with Syntactic and Semantic Constraints
3
3
An Empirical Examination of Challenges in Chinese Parsing
11
4
SYDNEY CMCRC at TAC 2013.
4
5
Toward a shared understanding of competency in programming: An invitation to the BABELnot project
12
6
Improvements to Training an RNN parser
1
7
Parser Showdown at the Wall Street Corral: An Empirical Investigation of Error Types in Parser Output
50
8
Event Linking: Grounding Event Reference in a News Archive
17
9
Routledge new developments in communication and society research
0
10
Relation Guided Bootstrapping of Semantic Lexicons
7
11
Na¨ ive but effective NIL clustering baselines - CMCRC at TAC 2011
6
12
Chinese CCGbank: extracting CCG derivations from the Penn Chinese Treebank
18
13
Rebanking CCGbank for Improved NP Interpretation
13
14
SCHWA: PETE Using CCG Dependencies with the C&C Parser
2
15
Parsing Noun Phrase Structure with CCG
13
16
The Pronto QA system at TREC-2007: harvesting hyponyms, using nominalisation patterns, and computing answer cardinality
6
17
Adding Noun Phrase Structure to the Penn Treebank
72
18
Object-Extraction and Question-Parsing using CCG.
29
19
VizieR Online Data Catalog: Sydney University Molonglo Sky Survey (SUMSS V2.1) (Mauch+ 2008)
1
20
The economics of survival and entrepreneurship
3

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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