Marisa Presas

62 total papers · 538 total citations
30 papers, 264 citations indexed

About

Marisa Presas is a scholar working on Language and Linguistics, Literature and Literary Theory and Artificial Intelligence. According to data from OpenAlex, Marisa Presas has authored 30 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Language and Linguistics, 4 papers in Literature and Literary Theory and 4 papers in Artificial Intelligence. Recurrent topics in Marisa Presas's work include Translation Studies and Practices (17 papers), linguistics and terminology studies (10 papers) and Natural Language Processing Techniques (4 papers). Marisa Presas is often cited by papers focused on Translation Studies and Practices (17 papers), linguistics and terminology studies (10 papers) and Natural Language Processing Techniques (4 papers). Marisa Presas collaborates with scholars based in Spain. Marisa Presas's co-authors include Wilhelm Neunzig, Mariana Orozco Jutorán, Allison Beeby, Olivia Fox, Patricia Rodríguez‐Inés, Amparo Hurtado Albir, Ori D. Fox, Inna Kozlova, Pacte and Martin Kreuzer and has published in prestigious journals such as SHILAP Revista de lepidopterología, CALICO Journal and Target International Journal of Translation Studies.

In The Last Decade

Marisa Presas

26 papers receiving 227 citations

Author Peers

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

Author Last Decade Papers Cites
Marisa Presas 228 83 69 58 36 30 264
Mariana Orozco Jutorán 251 1.1× 94 1.1× 79 1.1× 54 0.9× 31 0.9× 29 296
Olivia Fox 210 0.9× 89 1.1× 77 1.1× 50 0.9× 27 0.8× 19 263
Allison Beeby 222 1.0× 96 1.2× 79 1.1× 52 0.9× 26 0.7× 16 255
Kanglong Liu 169 0.7× 65 0.8× 157 2.3× 60 1.0× 30 0.8× 46 300
Birgitta Englund Dimitrova 235 1.0× 94 1.1× 117 1.7× 33 0.6× 49 1.4× 16 301
Alexander Künzli 185 0.8× 110 1.3× 61 0.9× 23 0.4× 24 0.7× 24 251
Gregory M. Shreve 187 0.8× 72 0.9× 122 1.8× 31 0.5× 46 1.3× 23 311
Enrique Alcaraz Varó 213 0.9× 17 0.2× 50 0.7× 66 1.1× 28 0.8× 37 289
Spencer Hazel 213 0.9× 33 0.4× 24 0.3× 95 1.6× 105 2.9× 30 294
Christian Olalla-Soler 143 0.6× 60 0.7× 52 0.8× 43 0.7× 11 0.3× 31 227

Countries citing papers authored by Marisa Presas

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Presas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Presas

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