Stefania Spina

71 total papers · 420 total citations
40 papers, 193 citations indexed

About

Stefania Spina is a scholar working on Artificial Intelligence, Language and Linguistics and Developmental and Educational Psychology. According to data from OpenAlex, Stefania Spina has authored 40 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 12 papers in Language and Linguistics and 12 papers in Developmental and Educational Psychology. Recurrent topics in Stefania Spina's work include Linguistic Studies and Language Acquisition (22 papers), Natural Language Processing Techniques (13 papers) and Second Language Acquisition and Learning (12 papers). Stefania Spina is often cited by papers focused on Linguistic Studies and Language Acquisition (22 papers), Natural Language Processing Techniques (13 papers) and Second Language Acquisition and Learning (12 papers). Stefania Spina collaborates with scholars based in Italy, Sweden and New Zealand. Stefania Spina's co-authors include Anna Siyanova‐Chanturia, Valentino Santucci, Filippo Santarelli, Gabriele Manganaro, P. Arena, Luigi Fortuna, Serge Sharoff, Andrea Abel, Alfredo Milani and Chiara Biscarini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Language Learning and Applied Sciences.

In The Last Decade

Stefania Spina

31 papers receiving 179 citations

Author Peers

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

Author						Papers	Cites
Stefania Spina	116	95	79	39	16	40	193
Łukasz Grabowski	94 0.8×	73 0.8×	106 1.3×	76 1.9×	20 1.3×	30	192
Iztok Kosem	154 1.3×	34 0.4×	164 2.1×	23 0.6×	14 0.9×	48	250
Carla Marello	100 0.9×	26 0.3×	124 1.6×	31 0.8×	10 0.6×	47	212
Aris Xanthos	88 0.8×	90 0.9×	50 0.6×	9 0.2×	45 2.8×	21	202
Sherri Condon	121 1.0×	25 0.3×	102 1.3×	43 1.1×	39 2.4×	24	240
Elma Kerz	132 1.1×	62 0.7×	54 0.7×	22 0.6×	32 2.0×	34	232
Veronika Timpe‐Laughlin	77 0.7×	55 0.6×	127 1.6×	70 1.8×	20 1.3×	24	224
Cecilia Andorno	93 0.8×	26 0.3×	137 1.7×	43 1.1×	35 2.2×	38	171
Marie-Aude Lefer	132 1.1×	30 0.3×	168 2.1×	32 0.8×	21 1.3×	39	230
Virve‐Anneli Vihman	44 0.4×	54 0.6×	98 1.2×	32 0.8×	31 1.9×	36	169

Countries citing papers authored by Stefania Spina

Since Specialization

Citations

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

Fields of papers citing papers by Stefania Spina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefania Spina

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