Léa A. Deleris

43 total papers · 705 total citations
27 papers, 375 citations indexed

About

Léa A. Deleris is a scholar working on Artificial Intelligence, Management Information Systems and Molecular Biology. According to data from OpenAlex, Léa A. Deleris has authored 27 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Management Information Systems and 5 papers in Molecular Biology. Recurrent topics in Léa A. Deleris's work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Advanced Text Analysis Techniques (4 papers). Léa A. Deleris is often cited by papers focused on Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Advanced Text Analysis Techniques (4 papers). Léa A. Deleris collaborates with scholars based in United States, Ireland and United Kingdom. Léa A. Deleris's co-authors include Ailbhe N. Finnerty, Emma Norris, Marta M. Marques, Susan Michie, Pól Mac Aonghusa, Robert West, James Thomas, John Shawe‐Taylor, Marie Johnston and Alison O’Mara-Eves and has published in prestigious journals such as Implementation Science, IBM Journal of Research and Development and Medical Decision Making.

In The Last Decade

Léa A. Deleris

27 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Léa A. Deleris	77	75	58	57	53	27	375
Susan Ferreira	45 0.6×	55 0.7×	50 0.9×	33 0.6×	10 0.2×	33	407
Rosa Hendijani	49 0.6×	19 0.3×	22 0.4×	35 0.6×	25 0.5×	23	348
Nick McDonald	21 0.3×	109 1.5×	15 0.3×	41 0.7×	8 0.2×	40	426
Ina S. Markham	29 0.4×	12 0.2×	75 1.3×	23 0.4×	16 0.3×	18	387
Ronald K. Klimberg	97 1.3×	30 0.4×	23 0.4×	52 0.9×	8 0.2×	28	408
Chin-Hsien Hsu	53 0.7×	24 0.3×	18 0.3×	45 0.8×	10 0.2×	53	409
Poching DeLaurentis	20 0.3×	42 0.6×	26 0.4×	19 0.3×	8 0.2×	22	344
Xiaomu Zhou	40 0.5×	116 1.5×	35 0.6×	29 0.5×	44 0.8×	21	411
Mark L. Braunstein	53 0.7×	75 1.0×	74 1.3×	10 0.2×	11 0.2×	41	431
Saligrama Agnihothri	187 2.4×	66 0.9×	10 0.2×	59 1.0×	18 0.3×	22	440

Countries citing papers authored by Léa A. Deleris

Since Specialization

Citations

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

Fields of papers citing papers by Léa A. Deleris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Léa A. Deleris. 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 Léa A. Deleris. The network helps show where Léa A. Deleris may publish in the future.

Co-authorship network of co-authors of Léa A. Deleris

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