M. Jardino

42 total papers · 415 total citations
27 papers, 233 citations indexed

About

M. Jardino is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, M. Jardino has authored 27 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Atomic and Molecular Physics, and Optics and 8 papers in Spectroscopy. Recurrent topics in M. Jardino's work include Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Advanced Frequency and Time Standards (6 papers). M. Jardino is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (6 papers) and Advanced Frequency and Time Standards (6 papers). M. Jardino collaborates with scholars based in France and United States. M. Jardino's co-authors include M. Desaintfuscien, Gilles Adda, C. Audoin, Jean‐Luc Gauvain, P. Petit, L.S. Cutler, Lori Lamel, Christian Jacquemin, Gabriel Illouz and Patrick Paroubek and has published in prestigious journals such as Optics Letters, Review of Scientific Instruments and Applied Physics A.

In The Last Decade

M. Jardino

23 papers receiving 194 citations

Author Peers

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

Author Last Decade Papers Cites
M. Jardino 144 76 69 31 23 27 233
Richard Hobson 160 1.1× 14 0.2× 8 0.1× 15 0.5× 12 0.5× 16 208
Zhiguo Wang 198 1.4× 70 0.9× 33 0.5× 30 1.3× 42 304
Artem Golovizin 284 2.0× 19 0.3× 15 0.2× 21 0.7× 16 0.7× 46 299
Xianzhi Huang 186 1.3× 72 0.9× 15 0.2× 2 0.1× 22 1.0× 21 293
Jie Zhang 255 1.8× 142 1.9× 10 0.1× 2 0.1× 34 1.5× 32 292
S. Jokić 22 0.2× 22 0.3× 15 0.2× 19 0.8× 35 211
Klaus Döringshoff 279 1.9× 7 0.1× 48 0.7× 18 0.6× 57 2.5× 31 302
Stefania Romisch 209 1.5× 7 0.1× 5 0.1× 24 0.8× 134 5.8× 27 295
Wen-Hao Zhang 235 1.6× 216 2.8× 4 0.1× 3 0.1× 13 0.6× 21 277
Dong‐Xu Chen 229 1.6× 78 1.0× 18 0.3× 1 0.0× 72 3.1× 26 300

Countries citing papers authored by M. Jardino

Since Specialization
Citations

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

Fields of papers citing papers by M. Jardino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Jardino

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