Joseph Mariani

155 total papers · 3.1k total citations
55 papers, 982 citations indexed

About

Joseph Mariani is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joseph Mariani has authored 55 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 10 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joseph Mariani's work include Natural Language Processing Techniques (31 papers), Speech and dialogue systems (18 papers) and Speech Recognition and Synthesis (12 papers). Joseph Mariani is often cited by papers focused on Natural Language Processing Techniques (31 papers), Speech and dialogue systems (18 papers) and Speech Recognition and Synthesis (12 papers). Joseph Mariani collaborates with scholars based in France, United States and Germany. Joseph Mariani's co-authors include Nicoletta Calzolari, Khalid Choukri, Stelios Piperidis, Bente Mægaard, Thierry Declerck, Jan Odijk, Hrafn Loftsson, Asunción Moreno, Giovanni B. Varile and Annie Zaenen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Language.

In The Last Decade

Joseph Mariani

47 papers receiving 855 citations

Hit Papers

Proceedings of the Ninth ... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Joseph Mariani 746 147 93 92 85 55 982
Gina‐Anne Levow 973 1.3× 132 0.9× 107 1.2× 224 2.4× 71 0.8× 78 1.1k
Lonneke van der Plas 992 1.3× 43 0.3× 93 1.0× 100 1.1× 151 1.8× 45 1.2k
Vincenzo Lombardo 558 0.7× 98 0.7× 228 2.5× 49 0.5× 72 0.8× 121 992
Antonio Zampollí 724 1.0× 65 0.4× 45 0.5× 97 1.1× 239 2.8× 40 1.0k
Luis Fernando D’Haro 884 1.2× 251 1.7× 145 1.6× 37 0.4× 54 0.6× 88 1.2k
Micha Elsner 781 1.0× 93 0.6× 66 0.7× 78 0.8× 28 0.3× 46 919
Andréi Popescu-Belis 996 1.3× 58 0.4× 145 1.6× 56 0.6× 85 1.0× 116 1.2k
Gerardo Sierra 536 0.7× 43 0.3× 55 0.6× 41 0.4× 104 1.2× 89 862
Magnus Sahlgren 959 1.3× 43 0.3× 129 1.4× 70 0.8× 53 0.6× 68 1.2k
Caroline Sporleder 1.0k 1.4× 84 0.6× 95 1.0× 81 0.9× 77 0.9× 57 1.2k

Countries citing papers authored by Joseph Mariani

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Mariani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Mariani

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