Laura Sebastiá
- Information Systems top 2%
- Artificial Intelligence top 10%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Eva OnaindíaInma GarciaJulie PorteousJöerg HoffmannEva Sanchez ArmengolSusana FernándezLuis CastilloÁngel Rodríguez Sáiz
- Topics
- AI-based Problem Solving and Planning (9 papers)Recommender Systems and Techniques (9 papers)Data Management and Algorithms (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
In The Last Decade
Laura Sebastiá
31 papers receiving 514 citations
Peers
Comparison fields: 5 of 62
- Information Systems 292
- Artificial Intelligence 196
- Sociology and Political Science 171
- Computer Networks and Communications 101
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Laura Sebastiá
This map shows the geographic impact of Laura Sebastiá'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 Laura Sebastiá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Sebastiá more than expected).
Fields of papers citing papers by Laura Sebastiá
This network shows the impact of papers produced by Laura Sebastiá. 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 Laura Sebastiá. The network helps show where Laura Sebastiá may publish in the future.
Co-authorship network of co-authors of Laura Sebastiá
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Sebastiá. A scholar is included among the top collaborators of Laura Sebastiá 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 Laura Sebastiá. Laura Sebastiá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 22 | |
| 12 | 0 | |
| 13 | A Multi Agent Architecture for Single User and Group Recommendation in the Tourism Domain | 10 |
| 14 | 53 | |
| 15 | 9 | |
| 16 | Extracting Landmarks in Temporal Planning Domains. | 2 |
| 17 | Decomposition of planning problems | 11 |
| 18 | On the extraction, ordering, and usage of landmarks in planning | 59 |
| 19 | An Examination of Resources in Planning | 4 |
| 20 | 4SP: A four stage incremental planning approach. | 1 |
About Laura Sebastiá
Laura Sebastiá is a scholar working on Signal Processing, Geography, Planning and Development and Software, having authored 36 papers that have together received 566 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (9 papers), Recommender Systems and Techniques (9 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Information Systems (292 citations), Transportation (74 citations) and Artificial Intelligence (196 citations). Laura Sebastiá has collaborated with scholars based in Spain, Colombia and Chile. Frequent co-authors include Eva Onaindía, Inma Garcia, Julie Porteous, Jöerg Hoffmann, Eva Sanchez Armengol, Susana Fernández, Luis Castillo, Ángel Rodríguez Sáiz, Daniel Borrajo and I. García. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.