Nadime Francis
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- Stefan PlantikowVictor MarsaultPetra SelmerTobias LindaakerLeonid LibkinAlastair GreenPaolo GuagliardoHannes Voigt
- Topics
- Graph Theory and Algorithms (5 papers)Advanced Database Systems and Queries (3 papers)Complexity and Algorithms in Graphs (1 paper)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- Theory of Computing SystemsLogical Methods in Computer ScienceEdinburgh Research Explorer (University of Edinburgh)
- Partner nations
- FranceUnited KingdomPoland
In The Last Decade
Nadime Francis
5 papers receiving 296 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 151
- Computer Vision and Pattern Recognition 132
- Computer Networks and Communications 128
- Signal Processing 78
- Information Systems 58
Countries citing papers authored by Nadime Francis
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 40 | |
| 3 | Cypherbreakdown → | 257 |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | A Direct Translation from XPath to Nondeterministic Automata | 0 |
About Nadime Francis
Nadime Francis is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Computer Networks and Communications, having authored 7 papers that have together received 307 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (5 papers), Advanced Database Systems and Queries (3 papers) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Signal Processing (78 citations), Computer Vision and Pattern Recognition (132 citations) and Computer Networks and Communications (128 citations). Nadime Francis has collaborated with scholars based in France, United Kingdom and Poland. Frequent co-authors include Stefan Plantikow, Victor Marsault, Petra Selmer, Tobias Lindaaker, Leonid Libkin, Alastair Green, Paolo Guagliardo, Hannes Voigt, Filip Murlak and Oskar van Rest. Their work appears in journals such as Theory of Computing Systems, Logical Methods in Computer Science and 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.