François Garillot

584 citations
2 papers · 8 indexed · h-index 2
Topics
Digital Humanities and Scholarship (1 paper)Mathematics, Computing, and Information Processing (1 paper)Logic, programming, and type systems (1 paper)
Journals
Proceedings of the ACM on Programming LanguagesScholarlyCommons (University of Pennsylvania)

In The Last Decade

François Garillot

2 papers receiving 7 citations

Peers

François Garillot
Comparison fields: 5 of 7
  • Artificial Intelligence 8
  • Computer Networks and Communications 6
  • Signal Processing 2
  • Molecular Biology 1
  • Information Systems 1
Replace Thomas Wunderer with:
Thomas Wunderer Germany
Claire Vernade United Kingdom
Zachary Garrett Japan
Yuanhua Yang China
C. Luo China
Artidoro Pagnoni United States
X. T. Huang China
E. Sexton-Kennedy United States
L. F. Chaparro Sierra Colombia
Moran Tzafrir Israel
François Garillot relative to Thomas Wunderer Germany Thomas Wunderer's profile →
Citations per field
00.5×1.5×
Thomas Wunderer · 1×
Citations per year

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

2 of 2 papers shown
#WorkIndexed citations
1 2
2
Statically Typed Document Transformation: An XTATIC Experience
6

About François Garillot

François Garillot is a scholar working on Literature and Literary Theory, Computational Theory and Mathematics and Computer Networks and Communications, having authored 2 papers that have together received 8 indexed citations. Recurring topics across this work include Digital Humanities and Scholarship (1 paper), Mathematics, Computing, and Information Processing (1 paper) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Computer Networks and Communications (6 citations), Artificial Intelligence (8 citations) and Signal Processing (2 citations). François Garillot has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Benjamin C. Pierce, Nada Amin, Rosario Gennaro and John C. Burnham. Their work appears in journals such as Proceedings of the ACM on Programming Languages and ScholarlyCommons (University of Pennsylvania).

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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