Anna Laura Lepschy

50 total papers · 472 total citations
18 papers, 127 citations indexed

About

Anna Laura Lepschy is a scholar working on Artificial Intelligence, Language and Linguistics and Sociology and Political Science. According to data from OpenAlex, Anna Laura Lepschy has authored 18 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 2 papers in Sociology and Political Science. Recurrent topics in Anna Laura Lepschy's work include Linguistic Studies and Language Acquisition (10 papers), Historical Linguistics and Language Studies (3 papers) and Italian Fascism and Post-war Society (2 papers). Anna Laura Lepschy is often cited by papers focused on Linguistic Studies and Language Acquisition (10 papers), Historical Linguistics and Language Studies (3 papers) and Italian Fascism and Post-war Society (2 papers). Anna Laura Lepschy collaborates with scholars based in United Kingdom. Anna Laura Lepschy's co-authors include Giulio Lepschy, Olga Ragusa, Arturo Tosi, Richard E. Wood, T. Gwynfor Griffith, Denys Hay and Giovanni Aquilecchia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Modern Language Journal and The Modern Language Review.

In The Last Decade

Anna Laura Lepschy

15 papers receiving 97 citations

Author Peers

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

Author Last Decade Papers Cites
Anna Laura Lepschy 70 46 39 33 16 18 127
Renée Kahane 98 1.4× 21 0.5× 39 1.0× 45 1.4× 7 0.4× 20 151
Avery D. Andrews 127 1.8× 88 1.9× 44 1.1× 47 1.4× 10 0.6× 18 186
Sonia Rachele Piotti 80 1.1× 20 0.4× 15 0.4× 17 0.5× 13 0.8× 17 121
William J. Entwistle 85 1.2× 30 0.7× 70 1.8× 64 1.9× 10 0.6× 11 151
John Colarusso 62 0.9× 19 0.4× 31 0.8× 36 1.1× 5 0.3× 16 127
Ernst Håkon Jahr 143 2.0× 24 0.5× 45 1.2× 145 4.4× 13 0.8× 26 223
Philip Durkin 144 2.1× 24 0.5× 21 0.5× 86 2.6× 4 0.3× 14 214
Joan Houston Hall 155 2.2× 37 0.8× 36 0.9× 141 4.3× 6 0.4× 12 260
Giacomo Devoto 67 1.0× 57 1.2× 17 0.4× 16 0.5× 8 0.5× 22 135
Matthew M. Reeve 50 0.7× 17 0.4× 15 0.4× 19 0.6× 7 0.4× 26 93

Countries citing papers authored by Anna Laura Lepschy

Since Specialization
Citations

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

Fields of papers citing papers by Anna Laura Lepschy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Laura Lepschy. 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 Anna Laura Lepschy. The network helps show where Anna Laura Lepschy may publish in the future.

Co-authorship network of co-authors of Anna Laura Lepschy

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Laura Lepschy. A scholar is included among the top collaborators of Anna Laura Lepschy 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 Anna Laura Lepschy. Anna Laura Lepschy 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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