Jacques Julliand

92 total papers · 558 total citations
22 papers, 110 citations indexed

About

Jacques Julliand is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Jacques Julliand has authored 22 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Software, 14 papers in Computational Theory and Mathematics and 6 papers in Artificial Intelligence. Recurrent topics in Jacques Julliand's work include Formal Methods in Verification (14 papers), Software Testing and Debugging Techniques (13 papers) and Model-Driven Software Engineering Techniques (7 papers). Jacques Julliand is often cited by papers focused on Formal Methods in Verification (14 papers), Software Testing and Debugging Techniques (13 papers) and Model-Driven Software Engineering Techniques (7 papers). Jacques Julliand collaborates with scholars based in France and Germany. Jacques Julliand's co-authors include Frédéric Dadeau, Achim D. Brucker, Fabrice Bouquet, Bernard Botella, Nikolaï Kosmatov, Alain Giorgetti, Julien Signoles, J. Groslambert, Olga Kouchnarenko and Marieke Huisman and has published in prestigious journals such as Lecture notes in computer science, Science of Computer Programming and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Jacques Julliand

20 papers receiving 99 citations

Author Peers

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

Author						Papers	Cites
Jacques Julliand	80	55	44	23	19	22	110
Mamoun Filali	53 0.7×	43 0.8×	48 1.1×	33 1.4×	40 2.1×	29	116
Sergio Mover	98 1.2×	103 1.9×	53 1.2×	18 0.8×	23 1.2×	20	149
Andreas Roth	62 0.8×	65 1.2×	108 2.5×	44 1.9×	18 0.9×	16	216
Deepak D’Souza	39 0.5×	74 1.3×	80 1.8×	16 0.7×	30 1.6×	26	136
Fabrice Bouquet	102 1.3×	31 0.6×	40 0.9×	49 2.1×	11 0.6×	23	135
Marc Pantel	41 0.5×	35 0.6×	37 0.8×	30 1.3×	24 1.3×	26	104
Matthias Heizmann	96 1.2×	95 1.7×	68 1.5×	27 1.2×	27 1.4×	15	148
Omar Inverso	55 0.7×	70 1.3×	35 0.8×	21 0.9×	44 2.3×	22	118
Lukáš Holík	58 0.7×	41 0.7×	80 1.8×	64 2.8×	18 0.9×	26	135
Grigory Fedyukovich	92 1.1×	71 1.3×	73 1.7×	39 1.7×	20 1.1×	22	137

Countries citing papers authored by Jacques Julliand

Since Specialization

Citations

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

Fields of papers citing papers by Jacques Julliand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Julliand

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