Philip Williams

1.5k citations
48 papers · 552 · h-index 14

Impact in

Papers in

    • Natural Language Processing Techniques 24
    • Topic Modeling 21
    • Text Readability and Simplification 5
    • Speech Recognition and Synthesis 5
    • Speech and dialogue systems 4
    • Religion, Society, and Development 4
    • Religion and Society Interactions 3
    • Migration, Ethnicity, and Economy 2

Philip Williams

45 papers receiving 457 citations

Peers

Philip Williams
Comparison fields: 5 of 73
  • Artificial Intelligence 318
  • Computer Vision and Pattern Recognition 80
  • Development 13
  • Sociology and Political Science 135
  • Political Science and International Relations 64
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Citations per field
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Citations per year

Countries citing papers authored by Philip Williams

Since Specialization
Citations

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

Fields of papers citing papers by Philip Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip Williams, 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 Philip Williams Line = papers co-authored together Philip Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201789
2 201736
3 199734
4
Proceedings of the Ninth Workshop on Statistical Machine Translation
201429
5 200326
6
Proceedings of the Eighth Workshop on Statistical Machine Translation
201321
7 198920
8 200719
9
GHKM Rule Extraction and Scope-3 Parsing in Moses
201219
10 199419
11 199318
12
Agreement Constraints for Statistical Machine Translation into German
201116
13
Edinburgh's Syntax-Based Machine Translation Systems
201315
14
More Linguistic Annotation for Statistical Machine Translation
201015
15 201813
16 201413
17 199012
18 200712
19 198511
20 201611

About Philip Williams

Philip Williams is a scholar working on Artificial Intelligence, Sociology and Political Science, Molecular Biology, Political Science and International Relations and Literature and Literary Theory, having authored 48 papers that have together received 552 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers), Text Readability and Simplification (5 papers), Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (4 papers), Religion, Society, and Development (4 papers), Religion and Society Interactions (3 papers) and Migration, Ethnicity, and Economy (2 papers). The work is most often cited by research in Artificial Intelligence (318 citations), Computer Vision and Pattern Recognition (80 citations), Development (13 citations), Sociology and Political Science (135 citations) and Political Science and International Relations (64 citations). Philip Williams has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Philipp Koehn, Rico Sennrich, Maria Nădejde, Barry Haddow, Matthias Huck, Antonio Valerio Miceli Barone, Alexandra Birch, Kenneth Heafield, Ulrich Germann and Anna Currey. Their work appears in journals such as Sociology of Religion, Journal of Latin American Studies, Latin American Perspectives, Shakespeare Quarterly and Latin American Research Review.

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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