Luca Soldaini

115 total papers · 1.2k total citations
32 papers, 199 citations indexed

About

Luca Soldaini is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Luca Soldaini has authored 32 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Molecular Biology. Recurrent topics in Luca Soldaini's work include Topic Modeling (20 papers), Natural Language Processing Techniques (13 papers) and Biomedical Text Mining and Ontologies (6 papers). Luca Soldaini is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (13 papers) and Biomedical Text Mining and Ontologies (6 papers). Luca Soldaini collaborates with scholars based in United States, Germany and Italy. Luca Soldaini's co-authors include Nazli Goharian, Andrew Yates, Sean MacAvaney, Arman Cohan, Alessandro Moschitti, Ophir Frieder, Bart Desmet, Elad Yom‐Tov, Kyle Lo and Ayah Zirikly and has published in prestigious journals such as Nature, Journal of the Association for Information Science and Technology and Information Retrieval.

In The Last Decade

Luca Soldaini

28 papers receiving 192 citations

Author Peers

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

Author Last Decade Papers Cites
Luca Soldaini 149 37 35 35 25 32 199
Krzysztof Wołk 123 0.8× 23 0.6× 13 0.4× 77 2.2× 53 2.1× 30 283
Fazle Rabbi 98 0.7× 16 0.4× 8 0.2× 71 2.0× 17 0.7× 41 225
Julia Ive 187 1.3× 53 1.4× 28 0.8× 14 0.4× 4 0.2× 28 232
Ruvan Weerasinghe 139 0.9× 19 0.5× 10 0.3× 25 0.7× 14 0.6× 45 225
Yining Hua 64 0.4× 42 1.1× 11 0.3× 20 0.6× 8 0.3× 23 175
Dongfang Xu 157 1.1× 54 1.5× 89 2.5× 8 0.2× 7 0.3× 19 224
Ivan Donadello 175 1.2× 8 0.2× 7 0.2× 19 0.5× 15 0.6× 22 252
Liadh Kelly 137 0.9× 9 0.2× 87 2.5× 86 2.5× 24 1.0× 34 262
Lorraine Goeuriot 215 1.4× 19 0.5× 88 2.5× 58 1.7× 21 0.8× 33 269
Michal Shmueli-Scheuer 159 1.1× 21 0.6× 5 0.1× 52 1.5× 18 0.7× 32 245

Countries citing papers authored by Luca Soldaini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Soldaini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Soldaini

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