Mirko Tavoni

104 total papers · 463 total citations
32 papers, 67 citations indexed

About

Mirko Tavoni is a scholar working on Artificial Intelligence, Language and Linguistics and Literature and Literary Theory. According to data from OpenAlex, Mirko Tavoni has authored 32 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Language and Linguistics and 9 papers in Literature and Literary Theory. Recurrent topics in Mirko Tavoni's work include Linguistic Studies and Language Acquisition (10 papers), Historical Linguistics and Language Studies (8 papers) and Renaissance and Early Modern Studies (8 papers). Mirko Tavoni is often cited by papers focused on Linguistic Studies and Language Acquisition (10 papers), Historical Linguistics and Language Studies (8 papers) and Renaissance and Early Modern Studies (8 papers). Mirko Tavoni collaborates with scholars based in Italy and United Kingdom. Mirko Tavoni's co-authors include Carlo Meghini, Valentina Bartalesi, Miriam Baglioni, Yakov Malkiel, Zygmunt G. Barański, Alejandro Moreo, Daniele Metilli, Fabrizio Sebastiani, Robert E. Black and Dante Alighieri and has published in prestigious journals such as Language Resources and Evaluation, Journal on Computing and Cultural Heritage and Digital Scholarship in the Humanities.

In The Last Decade

Mirko Tavoni

17 papers receiving 49 citations

Author Peers

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

Author						Papers	Cites
Mirko Tavoni	22	21	20	20	17	32	67
Peter Armour	5 0.2×	29 1.4×	31 1.6×	30 1.5×	15 0.9×	21	76
Paolo Trovato	17 0.8×	26 1.2×	19 0.9×	25 1.3×	22 1.3×	30	69
Matthew M. Reeve	17 0.8×	15 0.7×	9 0.5×	8 0.4×	50 2.9×	26	93
Steven Botterill	6 0.3×	33 1.6×	33 1.6×	27 1.4×	11 0.6×	18	71
Dauvit Broun	15 0.7×	39 1.9×	36 1.8×	8 0.4×	7 0.4×	28	91
Jacques Monfrin	4 0.2×	35 1.7×	43 2.1×	8 0.4×	24 1.4×	42	99
G. L. Bursill-Hall	7 0.3×	12 0.6×	27 1.4×	6 0.3×	51 3.0×	20	93
T. H. Howard-Hill	10 0.5×	21 1.0×	16 0.8×	43 2.1×	10 0.6×	25	83
Toon Van Hal	16 0.7×	6 0.3×	7 0.3×	8 0.4×	70 4.1×	49	100
Alberto Asor Rosa	8 0.4×	12 0.6×	9 0.5×	6 0.3×	16 0.9×	22	59

Countries citing papers authored by Mirko Tavoni

Since Specialization

Citations

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

Fields of papers citing papers by Mirko Tavoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirko Tavoni

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