Philip Williams

1.5k total citations
48 papers, 551 citations indexed

About

Philip Williams is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Philip Williams has authored 48 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 2 papers in Molecular Biology. Recurrent topics in Philip Williams's work include Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers) and Text Readability and Simplification (5 papers). Philip Williams is often cited by papers focused on Natural Language Processing Techniques (24 papers), Topic Modeling (21 papers) and Text Readability and Simplification (5 papers). Philip Williams collaborates with scholars based in United Kingdom, United States and Germany. Philip Williams's co-authors include Philipp Koehn, Rico Sennrich, Maria Nădejde, Barry Haddow, Matthias Huck, Alexandra Birch, Anna Currey, Ulrich Germann, Antonio Valerio Miceli Barone and Kenneth Heafield and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Sensors Journal.

In The Last Decade

Philip Williams

45 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Williams United Kingdom	14	319	136	79	64	25	48	551
Ana Cristina Mendes Portugal	8	150 0.5×	51 0.4×	12 0.2×	18 0.3×	6 0.2×	56	288
Kaspar Beelen United Kingdom	9	116 0.4×	45 0.3×	31 0.4×	32 0.5×	6 0.2×	27	259
Qi Shen China	12	120 0.4×	70 0.5×	18 0.2×	10 0.2×	104 4.2×	41	462
David Muchlinski United States	7	114 0.4×	181 1.3×	4 0.1×	80 1.3×	3 0.1×	10	382
Amelia Morris United Kingdom	9	74 0.2×	168 1.2×	15 0.2×	20 0.3×		26	373
Kevin Hu United States	4	33 0.1×	34 0.3×	34 0.4×	7 0.1×	13 0.5×	6	174
Daniel Gordon United States	9	53 0.2×	85 0.6×	48 0.6×	54 0.8×	2 0.1×	51	253
Jani Marjanen Finland	8	54 0.2×	28 0.2×	13 0.2×	30 0.5×	6 0.2×	34	195
Katherine Bode Australia	10	54 0.2×	70 0.5×	13 0.2×	17 0.3×	9 0.4×	31	273
Keith Carlson United States	9	58 0.2×	62 0.5×	14 0.2×	19 0.3×	2 0.1×	30	238

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-authorship network of co-authors of Philip Williams

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

All Works

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20 of 20 papers shown

Pokhrel, Shiva Raj, Jonathan Kua, Philip Williams, et al.. (2023). Deakin RF-Sensing: Experiments on Correlated Knowledge Distillation for Monitoring Human Postures With Radios. IEEE Sensors Journal. 23(22). 28399–28410. 5 indexed citations

Stüker, Sebastian, Thai‐Son Nguyen, Felix Schneider, et al.. (2020). Removing European Language Barriers with Innovative Machine Translation Technology. 44–49. 6 indexed citations

Williams, Philip, et al.. (2018). Atmospheric impacts of a natural gas development within the urban context of Morgantown, West Virginia. The Science of The Total Environment. 639. 406–416. 13 indexed citations

Williams, Philip, Rico Sennrich, Maria Nădejde, et al.. (2016). Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers. 4 indexed citations

Williams, Philip, Rico Sennrich, Matt Post, & Philipp Koehn. (2016). Syntax-based Statistical Machine Translation. 9(4). 1–208. 7 indexed citations

Williams, Philip, Rico Sennrich, Maria Nădejde, Matthias Huck, & Philipp Koehn. (2015). Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015. 3 indexed citations

Williams, Philip, Rico Sennrich, Maria Nădejde, et al.. (2014). Proceedings of the Ninth Workshop on Statistical Machine Translation. 30 indexed citations

Nădejde, Maria, Philip Williams, & Philipp Koehn. (2013). Edinburgh's Syntax-Based Machine Translation Systems. Workshop on Statistical Machine Translation. 170–176. 15 indexed citations

Nădejde, Maria, Philip Williams, & Philipp Koehn. (2013). Proceedings of the Eighth Workshop on Statistical Machine Translation. 21 indexed citations

10.

Zhang, Yue, et al.. (2013). Learning to Prune: Context-Sensitive Pruning for Syntactic MT. Meeting of the Association for Computational Linguistics. 352–357. 2 indexed citations

11.

Williams, Philip & Philipp Koehn. (2012). GHKM Rule Extraction and Scope-3 Parsing in Moses. Edinburgh Research Explorer (University of Edinburgh). 388–394. 19 indexed citations

12.

Williams, Philip & Philipp Koehn. (2011). Agreement Constraints for Statistical Machine Translation into German. Edinburgh Research Explorer (University of Edinburgh). 217–226. 16 indexed citations

13.

Koehn, Philipp, Barry Haddow, Philip Williams, & Hieu Hoang. (2010). More Linguistic Annotation for Statistical Machine Translation. Edinburgh Research Explorer (University of Edinburgh). 115–120. 15 indexed citations

14.

Williams, Philip, et al.. (2008). Iglesias y espacios públicos: lugares de identidad de mexicanos en Metro Atlanta. Redalyc (Universidad Autónoma del Estado de México). 2. 1 indexed citations

15.

Pichon, Éric, et al.. (2002). Towards Visually-Guided Neuromorphic Robots: Beobots. 71(4). 111–2; passim. 1 indexed citations

16.

Borland, Jeff & Philip Williams. (1993). An Economic Analysis of the Division of Copyright between Newspaper Publishers and Journalists. University of New South Wales law journal. 16(2). 351. 1 indexed citations

17.

Williams, Philip. (1989). The Catholic Church and Politics in Nicaragua and Costa Rica. University of Pittsburgh Press eBooks. 1 indexed citations

18.

Williams, Philip. (1989). The Catholic Church and Politics in Nicaragua and Costa Rica. Palgrave Macmillan UK eBooks. 20 indexed citations

19.

Williams, Philip. (1985). Four Poets on Patriarchy--Levertov,Sexton,Rich,Plath. 117–143.

20.

Williams, Philip & Alice Walker. (1953). Textual Problems of the First Folio.. Shakespeare Quarterly. 4(4). 481–481. 8 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.

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