Nadime Francis

684 total citations · 1 hit paper
7 papers, 307 citations indexed

About

Nadime Francis is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Nadime Francis has authored 7 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Nadime Francis's work include Graph Theory and Algorithms (5 papers), Advanced Database Systems and Queries (3 papers) and Complexity and Algorithms in Graphs (1 paper). Nadime Francis is often cited by papers focused on Graph Theory and Algorithms (5 papers), Advanced Database Systems and Queries (3 papers) and Complexity and Algorithms in Graphs (1 paper). Nadime Francis collaborates with scholars based in France, United Kingdom and Poland. Nadime Francis's co-authors include Victor Marsault, Petra Selmer, Leonid Libkin, Stefan Plantikow, Alastair Green, Tobias Lindaaker, Paolo Guagliardo, Oskar van Rest, Filip Murlak and Alin Deutsch and has published in prestigious journals such as Theory of Computing Systems, Logical Methods in Computer Science and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Nadime Francis

5 papers receiving 296 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cypher

2018 257 citations Nadime Francis, Alastair Green et al. Edinburgh Research Explorer (University of Edinburgh) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nadime Francis France	4	151	132	128	78	58	7	307
Victor Marsault France	3	156 1.0×	140 1.1×	131 1.0×	74 0.9×	61 1.1×	8	320
Alastair Green United Kingdom	4	156 1.0×	148 1.1×	138 1.1×	77 1.0×	63 1.1×	4	324
Petra Selmer United Kingdom	7	201 1.3×	158 1.2×	162 1.3×	90 1.2×	81 1.4×	12	381
Tobias Lindaaker United Kingdom	6	192 1.3×	209 1.6×	192 1.5×	112 1.4×	73 1.3×	7	404
Paolo Guagliardo United Kingdom	8	240 1.6×	123 0.9×	195 1.5×	107 1.4×	70 1.2×	25	410
Stefan Plantikow United States	6	194 1.3×	205 1.6×	199 1.6×	108 1.4×	79 1.4×	9	411
Hannes Voigt Germany	10	161 1.1×	157 1.2×	222 1.7×	130 1.7×	95 1.6×	41	346
Roberto De Virgilio Italy	12	176 1.2×	100 0.8×	165 1.3×	85 1.1×	113 1.9×	40	325
Wangchao Le United States	8	152 1.0×	93 0.7×	179 1.4×	152 1.9×	93 1.6×	11	301
Abdul Quamar United States	12	217 1.4×	118 0.9×	211 1.6×	71 0.9×	204 3.5×	25	440

Countries citing papers authored by Nadime Francis

Since Specialization

Citations

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

Fields of papers citing papers by Nadime Francis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadime Francis

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Francis, Nadime, et al.. (2024). Distinct Shortest Walk Enumeration for RPQs. Proceedings of the ACM on Management of Data. 2(2). 1–22. 1 indexed citations

2.

Deutsch, Alin, Nadime Francis, Alastair Green, et al.. (2022). Graph Pattern Matching in GQL and SQL/PGQ. HAL (Le Centre pour la Communication Scientifique Directe). 2246–2258. 40 indexed citations

3.

Francis, Nadime, Alastair Green, Paolo Guagliardo, et al.. (2018). Cypher. Edinburgh Research Explorer (University of Edinburgh). 1433–1445. 257 indexed citations breakdown →

4.

Francis, Nadime. (2016). Asymptotic Determinacy of Path Queries Using Union-of-Paths Views. Theory of Computing Systems. 61(1). 156–190. 5 indexed citations

5.

Francis, Nadime, Luc Segoufin, & Cristina Sirangelo. (2015). Datalog Rewritings of Regular Path Queries using Views. Logical Methods in Computer Science. Volume 11, Issue 4. 3 indexed citations

6.

Francis, Nadime. (2015). Asymptotic Determinacy of Path Queries using Union-of-Paths Views. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

7.

Libkin, Leonid, Claire David, & Nadime Francis. (2011). A Direct Translation from XPath to Nondeterministic Automata. Edinburgh Research Explorer (University of Edinburgh).

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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