Juan L. Reutter
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Information Systems top 5%
- Co-authors
- Domagoj VrgočPablo BarcelóMarcelo ArenasMartín UgarteLeonid LibkinFernando SuárezAidan HoganRenzo Angles
- Topics
- Advanced Database Systems and Queries (39 papers)Semantic Web and Ontologies (32 papers)Graph Theory and Algorithms (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMACM Computing Surveys
- Partner nations
- ChileUnited KingdomUnited States
In The Last Decade
Juan L. Reutter
52 papers receiving 867 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 515
- Computer Networks and Communications 495
- Computer Vision and Pattern Recognition 296
- Signal Processing 239
- Information Systems 187
Countries citing papers authored by Juan L. Reutter
This map shows the geographic impact of Juan L. Reutter'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 Juan L. Reutter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan L. Reutter more than expected).
Fields of papers citing papers by Juan L. Reutter
This network shows the impact of papers produced by Juan L. Reutter. 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 Juan L. Reutter. The network helps show where Juan L. Reutter may publish in the future.
Co-authorship network of co-authors of Juan L. Reutter
This figure shows the co-authorship network connecting the top 25 collaborators of Juan L. Reutter. A scholar is included among the top collaborators of Juan L. Reutter 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 Juan L. Reutter. Juan L. Reutter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 21 | |
| 8 | Towards a Robust Semantics for SHACL: Preliminary Discussion. | 1 |
| 9 | 4 | |
| 10 | Nested constructs vs. sub−selects in SPARQL | 1 |
| 11 | An Interactive Visualisation for RDF Data. | 1 |
| 12 | Foundations of Modern Graph Query Languages. | 19 |
| 13 | Incorporating API Data into SPARQL Query Answers. | 1 |
| 14 | Property Paths over Linked Data: Can It Be Done and How To Start? | 2 |
| 15 | 22 | |
| 16 | 15 | |
| 17 | 13 | |
| 18 | Relative Expressiveness of Nested Regular Expressions. | 29 |
| 19 | A Formalism for Graph Databases and its Model of Computation. | 4 |
| 20 | 24 |
About Juan L. Reutter
Juan L. Reutter is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 58 papers that have together received 925 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (39 papers), Semantic Web and Ontologies (32 papers) and Graph Theory and Algorithms (19 papers). The work is most often cited by research in Signal Processing (239 citations), Computer Networks and Communications (495 citations) and Artificial Intelligence (515 citations). Juan L. Reutter has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Domagoj Vrgoč, Pablo Barceló, Marcelo Arenas, Martín Ugarte, Leonid Libkin, Fernando Suárez, Aidan Hogan, Renzo Angles, Jorge Eduardo Pérez Pérez and Egor V. Kostylev. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and ACM Computing Surveys.
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.