Susan Armstrong

38 total papers · 418 total citations
23 papers, 232 citations indexed

About

Susan Armstrong is a scholar working on Artificial Intelligence, Language and Linguistics and Computational Theory and Mathematics. According to data from OpenAlex, Susan Armstrong has authored 23 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Susan Armstrong's work include Natural Language Processing Techniques (16 papers), Speech and dialogue systems (8 papers) and Topic Modeling (7 papers). Susan Armstrong is often cited by papers focused on Natural Language Processing Techniques (16 papers), Speech and dialogue systems (8 papers) and Topic Modeling (7 papers). Susan Armstrong collaborates with scholars based in Switzerland, France and United Kingdom. Susan Armstrong's co-authors include Pierre Isabelle, David Yarowsky, Evelyne Tzoukermann, Kenneth Church, Walter Daelemans, Alexander Clark, Andréi Popescu-Belis, Agnès Lisowska, Martin Rajman and Reinhard Rapp and has published in prestigious journals such as Applied Physics Letters, Computational Linguistics and Language Resources and Evaluation.

In The Last Decade

Susan Armstrong

21 papers receiving 186 citations

Author Peers

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

Author						Papers	Cites
Susan Armstrong	203	28	22	20	17	23	232
Hermann Helbig	167 0.8×	29 1.0×	9 0.4×	16 0.8×	11 0.6×	24	208
William N. Locke	145 0.7×	15 0.5×	23 1.0×	17 0.8×	32 1.9×	16	240
E.F. Tjong Kim Sang	237 1.2×	33 1.2×	22 1.0×	20 1.0×	35 2.1×	23	297
John A. Carroll	285 1.4×	48 1.7×	27 1.2×	14 0.7×	25 1.5×	10	328
Viet Dac Lai	210 1.0×	22 0.8×	11 0.5×	20 1.0×	4 0.2×	20	281
Xabier Artola Zubillaga	263 1.3×	29 1.0×	9 0.4×	12 0.6×	65 3.8×	43	294
Kyoko Kanzaki	234 1.2×	30 1.1×	26 1.2×	21 1.1×	39 2.3×	31	267
Amruta Purandare	234 1.2×	28 1.0×	15 0.7×	34 1.7×	10 0.6×	13	292
Mary S. Neff	223 1.1×	38 1.4×	11 0.5×	15 0.8×	57 3.4×	17	261
Lorna Balkan	228 1.1×	31 1.1×	11 0.5×	7 0.3×	66 3.9×	12	267

Countries citing papers authored by Susan Armstrong

Since Specialization

Citations

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

Fields of papers citing papers by Susan Armstrong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Armstrong

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