Julie Weeds

1.7k total citations
35 papers, 960 citations indexed

About

Julie Weeds is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Julie Weeds has authored 35 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Molecular Biology and 4 papers in Sociology and Political Science. Recurrent topics in Julie Weeds's work include Topic Modeling (22 papers), Natural Language Processing Techniques (22 papers) and Speech and dialogue systems (6 papers). Julie Weeds is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (22 papers) and Speech and dialogue systems (6 papers). Julie Weeds collaborates with scholars based in United Kingdom, Switzerland and Italy. Julie Weeds's co-authors include David Weir, Diana McCarthy, Rob Koeling, John Carroll, Jeremy Reffin, Bill Keller, Daoud Clarke, Thomas Kober, David R. Weir and Julian P. T. Higgins and has published in prestigious journals such as Conservation Biology, Biological Conservation and Sleep Medicine.

In The Last Decade

Julie Weeds

31 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julie Weeds United Kingdom	13	887	115	76	61	33	35	960
Jena D. Hwang United States	14	580 0.7×	106 0.9×	38 0.5×	65 1.1×	44 1.3×	48	676
Claire Bonial United States	13	1.0k 1.2×	98 0.9×	74 1.0×	126 2.1×	55 1.7×	47	1.1k
Richard Wicentowski United States	13	732 0.8×	51 0.4×	50 0.7×	66 1.1×	29 0.9×	33	851
Milan Straka Czechia	12	1.1k 1.2×	57 0.5×	84 1.1×	88 1.4×	68 2.1×	32	1.2k
Reut Tsarfaty Israel	15	1.1k 1.2×	50 0.4×	66 0.9×	122 2.0×	63 1.9×	57	1.2k
Marine Carpuat United States	22	1.4k 1.6×	101 0.9×	100 1.3×	145 2.4×	49 1.5×	109	1.4k
Marc Light United States	13	666 0.8×	85 0.7×	109 1.4×	48 0.8×	20 0.6×	26	747
Adam Lopez United Kingdom	21	1.3k 1.5×	126 1.1×	105 1.4×	165 2.7×	33 1.0×	64	1.4k
Emily Pitler United States	16	1.3k 1.5×	58 0.5×	143 1.9×	153 2.5×	30 0.9×	27	1.4k
Mohammad Taher Pilehvar United Kingdom	20	1.4k 1.6×	115 1.0×	114 1.5×	141 2.3×	31 0.9×	59	1.5k

Countries citing papers authored by Julie Weeds

Since Specialization

Citations

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

Fields of papers citing papers by Julie Weeds

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Weeds

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Weeds. A scholar is included among the top collaborators of Julie Weeds 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 Julie Weeds. Julie Weeds 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

Weeds, Julie, et al.. (2024). Monitoring the trade in bat taxidermy and specimens on e-commerce platforms. Biological Conservation. 299. 110827–110827.

Weeds, Julie, et al.. (2024). Exploring the potential for online data sources to enhance species threat mapping through the case study of global bat exploitation. Conservation Biology. 38(4). e14242–e14242. 1 indexed citations

Bertolini, L., Adrianna Michalak, & Julie Weeds. (2024). DReAMy: a library for the automatic analysis and annotation of dream reports with multilingual large language models. Sleep Medicine. 115. S406–S407.

Weir, David R., et al.. (2023). Testing Paraphrase Models on Recognising Sentence Pairs at Different Degrees of Semantic Overlap. 259–269.

Weeds, Julie, et al.. (2022). Cognitive Sociolinguistic Variation in the Old Bailey Voices Corpus: The Case for a New Concept‐Led Framework. Transactions of the Philological Society. 120(3). 399–426. 1 indexed citations

Weir, David, et al.. (2021). Structure-aware Sentence Encoder in Bert-Based Siamese Network. Sussex Research Online (University of Sussex). 57–63. 4 indexed citations

Schmidt, Lena, Julie Weeds, & Julian P. T. Higgins. (2020). Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. 83–94. 12 indexed citations

Wang, Dong, et al.. (2020). Improving Mental Health using Machine Learning to Assist Humans in the Moderation of Forum Posts. 187–197. 2 indexed citations

Younes, Ahmed & Julie Weeds. (2020). Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP. 139–154. 1 indexed citations

10.

Schmidt, Lena, Julie Weeds, & Julian P. T. Higgins. (2020). Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. 83–94. 2 indexed citations

11.

Weir, David, Jeremy Reffin, Julie Weeds, & Thomas Kober. (2016). Edinburgh Research Explorer. 18 indexed citations

12.

Kober, Thomas, Julie Weeds, Jeremy Reffin, & David Weir. (2016). Edinburgh Research Explorer. 7 indexed citations

13.

Weeds, Julie, Daoud Clarke, Jeremy Reffin, David Weir, & Bill Keller. (2014). Learning to Distinguish Hypernyms and Co-Hyponyms. Figshare. 2249–2259. 82 indexed citations

14.

Weeds, Julie, David Weir, & Jeremy Reffin. (2014). Distributional Composition using Higher-Order Dependency Vectors. Sussex Research Online (University of Sussex). 11–20. 5 indexed citations

15.

Weeds, Julie, David Weir, & Bill Keller. (2005). The distributional similarity of sub-parses. 7–12. 15 indexed citations

16.

Keller, Bill, Tim Owen, Ian Wakeman, Julie Weeds, & David Weir. (2005). Middleware for User Controlled Environments. 15. 183–188. 2 indexed citations

17.

McCarthy, Diana, Rob Koeling, Julie Weeds, & John Carroll. (2004). Using automatically acquired predominant senses for word sense disambiguation. Figshare. 151–154. 23 indexed citations

18.

McCarthy, Diana, Rob Koeling, Julie Weeds, & John Carroll. (2004). Finding predominant word senses in untagged text. Sussex Research Online (University of Sussex). 279–es. 207 indexed citations

19.

Weeds, Julie, Bill Keller, David Weir, et al.. (2004). Natural Language Expression of User Policies in Pervasive Computing Environments. Figshare. 13 indexed citations

20.

Weeds, Julie & David Weir. (2003). A general framework for distributional similarity. 10. 81–88. 87 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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