Rául Landa

39 total papers · 535 total citations
27 papers, 206 citations indexed

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 27 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rául Landa's work include Peer-to-Peer Network Technologies (15 papers), Network Traffic and Congestion Control (11 papers) and Caching and Content Delivery (8 papers). Rául Landa is often cited by papers focused on Peer-to-Peer Network Technologies (15 papers), Network Traffic and Congestion Control (11 papers) and Caching and Content Delivery (8 papers). Rául Landa collaborates with scholars based in United Kingdom, Australia and Japan. Rául Landa's co-authors include Miguel Rio, Richard G. Clegg, David Griffin, George Pavlou, Marinos Charalambides, Lorenzo Saino, Daphné Tuncer, Ubaid Abbasi, Abbas Bradai and Toufik Ahmed and has published in prestigious journals such as IEEE Communications Magazine, Computer Networks and IEEE Transactions on Network and Service Management.

In The Last Decade

Rául Landa

27 papers receiving 200 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rául Landa	191	51	47	25	25	27	206
Marin Bertier	182 1.0×	35 0.7×	42 0.9×	19 0.8×	33 1.3×	23	215
Αλέξανδρος Κωστόπουλος	142 0.7×	50 1.0×	63 1.3×	12 0.5×	31 1.2×	28	205
Ivan Gojmerac	192 1.0×	47 0.9×	104 2.2×	28 1.1×	28 1.1×	29	237
Nagender Aneja	80 0.4×	20 0.4×	28 0.6×	12 0.5×	53 2.1×	28	189
Mícheál Ó Foghlú	205 1.1×	95 1.9×	44 0.9×	21 0.8×	66 2.6×	27	259
Sachin Agarwal	159 0.8×	23 0.5×	85 1.8×	34 1.4×	42 1.7×	24	222
Jianyu Niu	104 0.5×	127 2.5×	37 0.8×	6 0.2×	48 1.9×	29	208
Rahma Ben Ayed	115 0.6×	32 0.6×	28 0.6×	8 0.3×	45 1.8×	27	188
Josep Martrat	138 0.7×	52 1.0×	54 1.1×	13 0.5×	17 0.7×	19	183
Silke Holtmanns	157 0.8×	66 1.3×	63 1.3×	22 0.9×	97 3.9×	28	234

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).

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.

Co-authorship network of co-authors of Rául Landa

This figure shows the co-authorship network connecting the top 25 collaborators of Rául Landa. A scholar is included among the top collaborators of Rául Landa 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 Rául Landa. Rául Landa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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