Thomas Lansdall-Welfare

39 total papers · 832 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 Computational and Text Analysis Methods (4 papers), Advanced Text Analysis Techniques (4 papers) and Digital Humanities and Scholarship (3 papers). Thomas Lansdall-Welfare is often cited by papers focused on Computational and Text Analysis Methods (4 papers), Advanced Text Analysis Techniques (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 Nick Mosdell 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Thomas Lansdall-Welfare	174	147	95	59	54	21	536
Matti Nelimarkka	94 0.5×	214 1.5×	219 2.3×	47 0.8×	22 0.4×	52	531
Liliana Bounegru	62 0.4×	230 1.6×	147 1.5×	23 0.4×	27 0.5×	22	553
Filipe Nunes Ribeiro	246 1.4×	235 1.6×	90 0.9×	50 0.8×	9 0.2×	24	547
Saeideh Bakhshi	91 0.5×	279 1.9×	98 1.0×	53 0.9×	74 1.4×	14	555
Esther Weltevrede	44 0.3×	255 1.7×	168 1.8×	30 0.5×	12 0.2×	20	502
Yu Xu	138 0.8×	207 1.4×	113 1.2×	67 1.1×	33 0.6×	46	513
A. Seza Doğruöz	342 2.0×	42 0.3×	40 0.4×	30 0.5×	24 0.4×	31	572
Éric SanJuan	284 1.6×	137 0.9×	59 0.6×	25 0.4×	18 0.3×	38	597
Michael Koliska	111 0.6×	294 2.0×	324 3.4×	16 0.3×	13 0.2×	29	601
Erik Borra	73 0.4×	250 1.7×	319 3.4×	66 1.1×	7 0.1×	16	518

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

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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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