Emanuela Cresti

52 total papers · 758 total citations
26 papers, 250 citations indexed

About

Emanuela Cresti is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Emanuela Cresti has authored 26 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Language and Linguistics and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Emanuela Cresti's work include Linguistic Studies and Language Acquisition (20 papers), Spanish Linguistics and Language Studies (12 papers) and Natural Language Processing Techniques (5 papers). Emanuela Cresti is often cited by papers focused on Linguistic Studies and Language Acquisition (20 papers), Spanish Linguistics and Language Studies (12 papers) and Natural Language Processing Techniques (5 papers). Emanuela Cresti collaborates with scholars based in Italy, Netherlands and France. Emanuela Cresti's co-authors include Massimo Moneglia, Khalid Choukri, Antonio Moreno Sandoval, Jean Véronis, Philippe Martin, Daniele Falavigna, Lorenzo Gregori, Philippe Martin and A. Cid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Resources and Evaluation and Frontiers in Communication.

In The Last Decade

Emanuela Cresti

20 papers receiving 172 citations

Author Peers

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

Author						Papers	Cites
Emanuela Cresti	182	160	103	34	31	26	250
Sônia Cyrino	91 0.5×	215 1.3×	85 0.8×	33 1.0×	46 1.5×	37	238
Massimo Moneglia	179 1.0×	130 0.8×	87 0.8×	25 0.7×	22 0.7×	39	244
Lars Heltoft	66 0.4×	160 1.0×	58 0.6×	16 0.5×	38 1.2×	28	211
Eric McCready	85 0.5×	170 1.1×	87 0.8×	65 1.9×	38 1.2×	25	233
Gerhard Helbig	96 0.5×	277 1.7×	53 0.5×	15 0.4×	41 1.3×	55	331
Caterina Mauri	75 0.4×	233 1.5×	96 0.9×	43 1.3×	69 2.2×	35	270
Ferdinand de Haan	63 0.3×	209 1.3×	70 0.7×	37 1.1×	64 2.1×	19	255
Evelien Keizer	105 0.6×	282 1.8×	103 1.0×	37 1.1×	80 2.6×	42	322
Muffy E. A. Siegel	76 0.4×	156 1.0×	51 0.5×	40 1.2×	39 1.3×	16	195
Seth Cable	141 0.8×	304 1.9×	93 0.9×	50 1.5×	99 3.2×	18	331

Countries citing papers authored by Emanuela Cresti

Since Specialization

Citations

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

Fields of papers citing papers by Emanuela Cresti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Cresti

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