Rául Landa

18 papers and 83 indexed citations i.

About

Rául Landa is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rául Landa has authored 18 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rául Landa’s work include Peer-to-Peer Network Technologies (11 papers), Network Traffic and Congestion Control (8 papers) and Caching and Content Delivery (7 papers). Rául Landa is often cited by papers focused on Peer-to-Peer Network Technologies (11 papers), Network Traffic and Congestion Control (8 papers) and Caching and Content Delivery (7 papers). Rául Landa collaborates with scholars based in United Kingdom, United States and Japan. Rául Landa's co-authors include Richard G. Clegg, Miguel Rio, George Pavlou, Marinos Charalambides, David Griffin, Daphné Tuncer, Abbas Bradai, Toufik Ahmed, Kensuke Fukuda and Hamed Haddadi and has published in prestigious journals such as IEEE Communications Magazine, Computer Networks and Journal of Computer and System Sciences.

In The Last Decade

Co-authorship network of co-authors of Rául Landa i

Fields of papers citing papers by Rául Landa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rául Landa

Since Specialization
Citations

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

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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2025