Sara Laviosa

110 total papers · 1.7k total citations
40 papers, 776 citations indexed

About

Sara Laviosa is a scholar working on Language and Linguistics, Artificial Intelligence and Literature and Literary Theory. According to data from OpenAlex, Sara Laviosa has authored 40 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Language and Linguistics, 13 papers in Artificial Intelligence and 9 papers in Literature and Literary Theory. Recurrent topics in Sara Laviosa's work include Translation Studies and Practices (24 papers), Natural Language Processing Techniques (9 papers) and Second Language Learning and Teaching (7 papers). Sara Laviosa is often cited by papers focused on Translation Studies and Practices (24 papers), Natural Language Processing Techniques (9 papers) and Second Language Learning and Teaching (7 papers). Sara Laviosa collaborates with scholars based in Italy, United Kingdom and Hong Kong. Sara Laviosa's co-authors include Meng Ji, Adriana Silvina Pagano, Michał B. Paradowski, María Calzada Pérez, Kanglong Liu, Jun Pan, Andrew Chesterman, Ian Mason and Dechao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Professional Communication and Language Awareness.

In The Last Decade

Sara Laviosa

36 papers receiving 651 citations

Author Peers

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

Author Last Decade Papers Cites
Sara Laviosa 659 459 122 117 69 40 776
Silvia Hansen‐Schirra 317 0.5× 414 0.9× 58 0.5× 77 0.7× 83 1.2× 53 676
Maeve Olohan 677 1.0× 420 0.9× 131 1.1× 118 1.0× 84 1.2× 29 872
Maureen Ehrensberger‐Dow 430 0.7× 202 0.4× 164 1.3× 112 1.0× 100 1.4× 72 772
Jean Darbelnet 550 0.8× 190 0.4× 73 0.6× 102 0.9× 98 1.4× 22 662
Juan C. Sager 620 0.9× 312 0.7× 42 0.3× 50 0.4× 40 0.6× 37 821
Wolfram Wilss 711 1.1× 186 0.4× 147 1.2× 121 1.0× 176 2.6× 49 894
Karen Korning Zethsen 468 0.7× 161 0.4× 250 2.0× 101 0.9× 49 0.7× 50 672
Dorothy Kenny 485 0.7× 378 0.8× 86 0.7× 66 0.6× 34 0.5× 28 679
Dawn Archer 405 0.6× 384 0.8× 44 0.4× 184 1.6× 113 1.6× 63 812
Kirsten Malmkjær 534 0.8× 197 0.4× 60 0.5× 217 1.9× 148 2.1× 30 784

Countries citing papers authored by Sara Laviosa

Since Specialization
Citations

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

Fields of papers citing papers by Sara Laviosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Laviosa

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