Will Radford

987 citations
20 papers · 718 · h-index 9

Impact in

Papers in

Will Radford

19 papers receiving 646 citations

Peers

Will Radford
Comparison fields: 5 of 49
  • Artificial Intelligence 653
  • Management Science and Operations Research 144
  • Communication 52
  • Information Systems 136
  • Geography, Planning and Development 15
Replace Pavan Kapanipathi with:
Pavan Kapanipathi United States
Joel Nothman Australia
Hagen Fürstenau Germany
Bilyana Taneva Germany
Joachim Daiber Netherlands
Viviane P. Moreira Brazil
Koraljka Golub Sweden
Valentin Jijkoun Netherlands
Chris Hokamp Ireland
Milan Stanković France
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Citations per field
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Pavan Kapanipathi · 1×
Citations per year

Countries citing papers authored by Will Radford

Since Specialization
Citations

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

Fields of papers citing papers by Will Radford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Will Radford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Will Radford Line = papers co-authored together Will Radford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2012264
2 2012195
3 201770
4 201141
5
TAT: An Author Profiling Tool with Application to Arabic Emails
200739
6 201424
7 201521
8
Author Profiling for English and Arabic Emails
200819
9 20199
10
(Almost) Total Recall - SYDNEY CMCRC at TAC 2012.
20128
11 20106
12
SYDNEY CMCRC at TAC 2013.
20134
13 20184
14 20153
15 20163
16 20172
17 20162
18
Joint Apposition Extraction with Syntactic and Semantic Constraints
20132
19 19691
20
Tracking Information Flow in Financial Text
20091

About Will Radford

Will Radford is a scholar working on Artificial Intelligence, Management Science and Operations Research, Communication, Information Systems and Social Psychology, having authored 20 papers that have together received 718 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers), Data Quality and Management (4 papers), Wikis in Education and Collaboration (3 papers), Information Retrieval and Search Behavior (2 papers), Authorship Attribution and Profiling (2 papers), Mental Health via Writing (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (653 citations), Management Science and Operations Research (144 citations), Communication (52 citations), Information Systems (136 citations) and Geography, Planning and Development (15 citations). Will Radford has collaborated with scholars based in Australia, United States and France. Frequent co-authors include James Curran, Joel Nothman, Ben Hachey, Tara Murphy, Nicky Ringland, Matthew Honnibal, Andrew M. Chisholm, Ben Hutchinson, Dominique Estival and Son Bao Pham. Their work appears in journals such as Theory and applications of categories, Artificial Intelligence, ELT Journal, Lecture notes in computer science and Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

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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