Luis M. Laita
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Software top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Eugenio Roanes–LozanoAntonio HernandoCarlos Rodríguez-SolanoVíctor MaojoMichael J. WesterCarlos Roncero‐ClementeJúlia CoutoFrans Coenen
- Topics
- Logic, programming, and type systems (14 papers)Polynomial and algebraic computation (12 papers)Logic, Reasoning, and Knowledge (11 papers)
- Journals
- Expert Systems with ApplicationsArtificial IntelligenceComputers & Mathematics with Applications
- Partner nations
- SpainPuerto RicoBelgium
In The Last Decade
Luis M. Laita
34 papers receiving 299 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 163
- Artificial Intelligence 135
- Software 41
- Computer Networks and Communications 33
- Electrical and Electronic Engineering 21
Countries citing papers authored by Luis M. Laita
This map shows the geographic impact of Luis M. Laita'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 Luis M. Laita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis M. Laita more than expected).
Fields of papers citing papers by Luis M. Laita
This network shows the impact of papers produced by Luis M. Laita. 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 Luis M. Laita. The network helps show where Luis M. Laita may publish in the future.
Co-authorship network of co-authors of Luis M. Laita
This figure shows the co-authorship network connecting the top 25 collaborators of Luis M. Laita. A scholar is included among the top collaborators of Luis M. Laita 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 Luis M. Laita. Luis M. Laita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 6 | |
| 3 | 18 | |
| 4 | What machines can and cannot do | 1 |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 8 | |
| 8 | Cálculos efectivos en lógica proposicional booleana interpretada como un anillo de clases residuales (polinomial) sobre Z2 | 1 |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 19 | |
| 13 | A Logic and computer algebra approach to a decision-making problem in medicine | 1 |
| 14 | 24 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 1 |
About Luis M. Laita
Luis M. Laita is a scholar working on Theoretical Computer Science, Computational Theory and Mathematics and Artificial Intelligence, having authored 38 papers that have together received 322 indexed citations. Recurring topics across this work include Logic, programming, and type systems (14 papers), Polynomial and algebraic computation (12 papers) and Logic, Reasoning, and Knowledge (11 papers). The work is most often cited by research in Theoretical Computer Science (17 citations), Software (41 citations) and Computational Theory and Mathematics (163 citations). Luis M. Laita has collaborated with scholars based in Spain, Puerto Rico and Belgium. Frequent co-authors include Eugenio Roanes–Lozano, Antonio Hernando, Antonio Hernando, Carlos Rodríguez-Solano, Víctor Maojo, Michael J. Wester, Carlos Roncero‐Clemente, Júlia Couto, Frans Coenen and Juliette Dibie-Barthélemy. Their work appears in journals such as Expert Systems with Applications, Artificial Intelligence and Computers & Mathematics with Applications.
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.