Paolo Ramat

137 total papers · 2.2k total citations
49 papers, 379 citations indexed

About

Paolo Ramat is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language. According to data from OpenAlex, Paolo Ramat has authored 49 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Language and Linguistics, 10 papers in Artificial Intelligence and 5 papers in Linguistics and Language. Recurrent topics in Paolo Ramat's work include Linguistic research and analysis (13 papers), Linguistics and language evolution (11 papers) and Historical Linguistics and Language Studies (10 papers). Paolo Ramat is often cited by papers focused on Linguistic research and analysis (13 papers), Linguistics and language evolution (11 papers) and Historical Linguistics and Language Studies (10 papers). Paolo Ramat collaborates with scholars based in Italy. Paolo Ramat's co-authors include Giuliano Bernini, Davide Ricca, Elisabetta Ježek, Martin Harris, Joseph F. Eska, Anna Giacalone Ramat, Pierluigi Cuzzolin, Sonia Cristofaro, Yakov Malkiel and Martin Durrell and has published in prestigious journals such as Language, Journal of Pragmatics and Lingua.

In The Last Decade

Paolo Ramat

37 papers receiving 287 citations

Author Peers

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

Author						Papers	Cites
Paolo Ramat	313	146	97	81	35	49	379
Muriel Norde	386 1.2×	166 1.1×	103 1.1×	90 1.1×	48 1.4×	31	424
Robert Hetzron	294 0.9×	109 0.7×	99 1.0×	82 1.0×	26 0.7×	35	402
Volker Gast	268 0.9×	110 0.8×	97 1.0×	114 1.4×	32 0.9×	43	384
M. Dale Kinkade	307 1.0×	215 1.5×	187 1.9×	93 1.1×	27 0.8×	27	428
Matti Miestamo	305 1.0×	153 1.0×	86 0.9×	81 1.0×	15 0.4×	32	391
Philip Baldi	232 0.7×	148 1.0×	68 0.7×	42 0.5×	17 0.5×	34	339
Donna B. Gerdts	297 0.9×	140 1.0×	103 1.1×	95 1.2×	26 0.7×	38	335
Alexander Bergs	321 1.0×	165 1.1×	157 1.6×	58 0.7×	30 0.9×	30	409
Matthew Baerman	331 1.1×	160 1.1×	141 1.5×	154 1.9×	34 1.0×	37	416
Daniel N. Cárdenas	309 1.0×	177 1.2×	144 1.5×	95 1.2×	18 0.5×	32	440

Countries citing papers authored by Paolo Ramat

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Ramat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Ramat

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