Thomas Lansdall-Welfare

835 total citations
21 papers, 536 citations indexed

About

Thomas Lansdall-Welfare is a scholar working on Sociology and Political Science, Artificial Intelligence and Communication. According to data from OpenAlex, Thomas Lansdall-Welfare has authored 21 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 7 papers in Artificial Intelligence and 5 papers in Communication. Recurrent topics in Thomas Lansdall-Welfare's work include Advanced Text Analysis Techniques (4 papers), Computational and Text Analysis Methods (4 papers) and Digital Humanities and Scholarship (3 papers). Thomas Lansdall-Welfare is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Computational and Text Analysis Methods (4 papers) and Digital Humanities and Scholarship (3 papers). Thomas Lansdall-Welfare collaborates with scholars based in United Kingdom and United States. Thomas Lansdall-Welfare's co-authors include Nello Cristianini, Saatviga Sudhahar, Giuseppe Veltri, Vasileios Lampos, Sen Jia, Ilias Flaounas, Nello Cristianini, Justin Lewis, Cynthia Carter and Tijl De Bie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The British Journal of Psychiatry.

In The Last Decade

Thomas Lansdall-Welfare

19 papers receiving 516 citations

Peers

Thomas Lansdall-Welfare

SPS

COMMU

SNP

CVPR

Saatviga Sudhahar United Kingdom

Eduardo Graells-Garrido Chile

Meysam Alizadeh United States

Hemant Purohit United States

Marisa Vasconcelos Brazil

Seth Frey United States

Jasmina Smailović Slovenia

Naeemul Hassan United States

Vladimir Barash United States

Dominic DiFranzo United States

Saatviga Sudhahar United Kingdom

Thomas Lansdall-Welfare

123 ×0.7

95 ×0.6

SPS

57 ×0.6

COMMU

37 ×0.6

SNP

26 ×0.5

CVPR

Citations per year, relative to Thomas Lansdall-Welfare Thomas Lansdall-Welfare (= 1×) peers Saatviga Sudhahar

Countries citing papers authored by Thomas Lansdall-Welfare

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Lansdall-Welfare

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Lansdall-Welfare. 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 Thomas Lansdall-Welfare. The network helps show where Thomas Lansdall-Welfare may publish in the future.

Co-authorship network of co-authors of Thomas Lansdall-Welfare

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lansdall-Welfare, Thomas, Stafford L. Lightman, & Nello Cristianini. (2019). Seasonal variation in antidepressant prescriptions, environmental light and web queries for seasonal affective disorder. The British Journal of Psychiatry. 215(2). 481–484. 7 indexed citations

Cristianini, Nello, et al.. (2018). Large-scale content analysis of historical newspapers in the town of Gorizia 1873–1914. Historical Methods A Journal of Quantitative and Interdisciplinary History. 51(3). 139–164. 8 indexed citations

Lansdall-Welfare, Thomas & Nello Cristianini. (2018). History playground: A tool for discovering temporal trends in massive textual corpora. Digital Scholarship in the Humanities. 35(2). 328–341. 7 indexed citations

Lansdall-Welfare, Thomas, Saatviga Sudhahar, James Thompson, et al.. (2017). Content analysis of 150 years of British periodicals. Proceedings of the National Academy of Sciences. 114(4). E457–E465. 63 indexed citations

Lansdall-Welfare, Thomas, et al.. (2016). Discovering Periodic Patterns in Historical News. PLoS ONE. 11(11). e0165736–e0165736. 4 indexed citations

Jia, Sen, Thomas Lansdall-Welfare, Saatviga Sudhahar, Cynthia Carter, & Nello Cristianini. (2016). Women Are Seen More than Heard in Online Newspapers. PLoS ONE. 11(2). e0148434–e0148434. 55 indexed citations

Lansdall-Welfare, Thomas, et al.. (2016). Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum. Bristol Research (University of Bristol). 434–439. 27 indexed citations

Lansdall-Welfare, Thomas, et al.. (2016). Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts. Bristol Research (University of Bristol). 71. 931–937. 17 indexed citations

Jia, Sen, Thomas Lansdall-Welfare, & Nello Cristianini. (2016). Gender Classification by Deep Learning on Millions of Weakly Labelled Images. Bristol Research (University of Bristol). 462–467. 29 indexed citations

10.

Jia, Sen, Thomas Lansdall-Welfare, & Nello Cristianini. (2015). Measuring Gender Bias in News Images. Explore Bristol Research. 893–898. 10 indexed citations

11.

Lansdall-Welfare, Thomas. (2015). Discovering Culturomic Trends in Large-Scale Textual Corpora. 1 indexed citations

12.

Lansdall-Welfare, Thomas, Saatviga Sudhahar, Giuseppe Veltri, & Nello Cristianini. (2014). Big Data (Big Data), 2014 IEEE International Conference on. 112 indexed citations

13.

Lansdall-Welfare, Thomas, Saatviga Sudhahar, Giuseppe Veltri, & Nello Cristianini. (2014). On the coverage of science in the media: A big data study on the impact of the Fukushima disaster. Institutional Research Information System (Università degli Studi di Trento). 60–66. 19 indexed citations

14.

Sudhahar, Saatviga, Thomas Lansdall-Welfare, Ilias Flaounas, & Nello Cristianini. (2012). ElectionWatch: Detecting Patterns in News Coverage of US Elections. Explore Bristol Research. 82–86. 5 indexed citations

15.

Flaounas, Ilias, Thomas Lansdall-Welfare, Tijl De Bie, et al.. (2012). RESEARCH METHODS IN THE AGE OF DIGITAL JOURNALISM. Digital Journalism. 1(1). 102–116. 56 indexed citations

16.

Sudhahar, Saatviga, Thomas Lansdall-Welfare, Ilias Flaounas, & Nello Cristianini. (2012). Quantitative Narrative Analysis of US Elections in International News Media. Bristol Research (University of Bristol). 1 indexed citations

17.

Lansdall-Welfare, Thomas, Vasileios Lampos, & Nello Cristianini. (2012). Effects of the recession on public mood in the UK. 1221–1226. 53 indexed citations

18.

Lansdall-Welfare, Thomas, Vasileios Lampos, & Nello Cristianini. (2012). Nowcasting the Mood of the Nation. Significance. 9(4). 26–28. 24 indexed citations

19.

Lansdall-Welfare, Thomas, Ilias Flaounas, & Nello Cristianini. (2012). SCALABLE CORPUS ANNOTATION BY GRAPH CONSTRUCTION AND LABEL PROPAGATION. 25–34.

20.

Sudhahar, Saatviga, Thomas Lansdall-Welfare, Ilias Flaounas, & Nello Cristianini. (2012). Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL). 32 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.

Explore authors with similar magnitude of impact