Claire Grover

3.8k total citations
103 papers, 2.2k citations indexed

About

Claire Grover is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Claire Grover has authored 103 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 21 papers in Molecular Biology and 14 papers in Information Systems. Recurrent topics in Claire Grover's work include Natural Language Processing Techniques (52 papers), Topic Modeling (43 papers) and Semantic Web and Ontologies (27 papers). Claire Grover is often cited by papers focused on Natural Language Processing Techniques (52 papers), Topic Modeling (43 papers) and Semantic Web and Ontologies (27 papers). Claire Grover collaborates with scholars based in United Kingdom, United States and Japan. Claire Grover's co-authors include Richard Tobin, Marc Moens, Andrei Mikheev, Beatrice Alex, Ben Hachey, Barry Haddow, Kate Byrne, Ewan Klein, Ted Briscoe and Malvina Nissim and has published in prestigious journals such as Gastroenterology, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Claire Grover

98 papers receiving 1.9k citations

Peers

Claire Grover
Comparison fields: 5 of 114
  • Artificial Intelligence 1.7k
  • Molecular Biology 469
  • Information Systems 337
  • Geography, Planning and Development 175
  • Political Science and International Relations 160
Replace Marc Moens with:
Marc Moens United Kingdom
Simone Paolo Ponzetto Germany
Leon Derczynski United Kingdom
Satoshi Sekine United States
Vasileios Hatzivassiloglou United States
Richard Tobin United Kingdom
Inderjeet Mani United States
Simone Teufel United Kingdom
Gregory Grefenstette France
Paul Buitelaar Ireland
Marc Moens United Kingdom View profile →
Citations per field, relative to Claire Grover
Claire Grover · 1×
Citations per year, relative to Claire Grover
Claire Grover · 1×

Countries citing papers authored by Claire Grover

Since Specialization
Citations

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

Fields of papers citing papers by Claire Grover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire Grover

This figure shows the co-authorship network connecting the top 25 collaborators of Claire Grover. A scholar is included among the top collaborators of Claire Grover 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 Claire Grover. Claire Grover 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 13
2 26
3
Homing in on Twitter users: Evaluating an Enhanced Geoparser for User Profile Locations
6
4 4
5
Re-using an Argument Corpus to Aid in the Curation of Social Media Collections
14
6
Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
6
7
Labelling and Spatio-Temporal Grounding of News Events
3
8
Edinburgh-LTG: TempEval-2 System Description
19
9
Learning the Species of Biomedical Named Entities from Annotated Corpora
10
10
Named Entity Recognition for Digitised Historical Texts.
27
11
Recognising Textual Entailment Focusing on Non-Entailing Text and Hypothesis
1
12
Rule-Based Chunking and Reusability
31
13
A system for identifying named entities in biomedical text: how results from two evaluations reflect on both the system and the evaluations: Conference Papers
11
14
A platform for cross-lingual, domain and user adaptive web information extraction
5
15 1
16
Multilingual XML-Based Named Entity Recognition for E-Retail Domains
7
17
LT TTT - A Flexible Tokenisation Tool
72
18
Seventh Message Understanding Conference (MUC-7)
12
19
The derivation of a large computational lexicon for English from LDOCE
18
20
A formalism and environment for the development of a large grammar of English
40

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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