François Garillot

584 total citations
2 papers, 8 citations indexed

About

François Garillot is a scholar working on Computer Networks and Communications, Literature and Literary Theory and Artificial Intelligence. According to data from OpenAlex, François Garillot has authored 2 papers receiving a total of 8 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Literature and Literary Theory and 1 paper in Artificial Intelligence. Recurrent topics in François Garillot's work include Digital Humanities and Scholarship (1 paper), Mathematics, Computing, and Information Processing (1 paper) and Logic, programming, and type systems (1 paper). François Garillot is often cited by papers focused on Digital Humanities and Scholarship (1 paper), Mathematics, Computing, and Information Processing (1 paper) and Logic, programming, and type systems (1 paper). François Garillot collaborates with scholars based in United States and United Kingdom. François Garillot's co-authors include Benjamin C. Pierce, John C. Burnham, Nada Amin and Rosario Gennaro and has published in prestigious journals such as Proceedings of the ACM on Programming Languages and ScholarlyCommons (University of Pennsylvania).

In The Last Decade

François Garillot

2 papers receiving 7 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
François Garillot United States	2	8	6	2	1	1	2	8
Thomas Wunderer Germany	3	9 1.1×	5 0.8×			1 1.0×	3	9
Claire Vernade United Kingdom	2	6 0.8×	6 1.0×			1 1.0×	5	15
Zachary Garrett Japan	2	10 1.3×	4 0.7×				2	16
Yuanhua Yang China	3	6 0.8×	4 0.7×				5	16
C. Luo China	3	7 0.9×	4 0.7×				3	9
Artidoro Pagnoni United States	2	6 0.8×	3 0.5×	2 1.0×		1 1.0×	4	10
X. T. Huang China	3	12 1.5×	4 0.7×				8	16
L. F. Chaparro Sierra Colombia	3	9 1.1×	3 0.5×	2 1.0×		2 2.0×	8	18
E. Sexton-Kennedy United States	3	4 0.5×	8 1.3×	1 0.5×			11	14
T. J. Jones	2	6 0.8×	3 0.5×			1 1.0×	3	12

Countries citing papers authored by François Garillot

Since Specialization

Citations

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

Fields of papers citing papers by François Garillot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Garillot

This figure shows the co-authorship network connecting the top 25 collaborators of François Garillot. A scholar is included among the top collaborators of François Garillot 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 François Garillot. François Garillot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Amin, Nada, et al.. (2023). LURK: Lambda, the Ultimate Recursive Knowledge (Experience Report). Proceedings of the ACM on Programming Languages. 7(ICFP). 259–274. 2 indexed citations

2.

Garillot, François, et al.. (2005). Statically Typed Document Transformation: An XTATIC Experience. ScholarlyCommons (University of Pennsylvania). 2–13. 6 indexed citations

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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