Raquel Trillo-Lado

45 total papers · 530 total citations
24 papers, 296 citations indexed

About

Raquel Trillo-Lado is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Raquel Trillo-Lado has authored 24 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 9 papers in Signal Processing and 6 papers in Computer Networks and Communications. Recurrent topics in Raquel Trillo-Lado's work include Data Management and Algorithms (9 papers), Recommender Systems and Techniques (7 papers) and Context-Aware Activity Recognition Systems (4 papers). Raquel Trillo-Lado is often cited by papers focused on Data Management and Algorithms (9 papers), Recommender Systems and Techniques (7 papers) and Context-Aware Activity Recognition Systems (4 papers). Raquel Trillo-Lado collaborates with scholars based in Spain, Italy and United Kingdom. Raquel Trillo-Lado's co-authors include Sergio Ilarri, Ramón Hermoso, Thierry Delot, Francesco Guerra, Yannis Velegrakis, Sonia Bergamaschi, Matteo Interlandi, Ignacio Martínez Ruiz, Teresa Blanco and Roberto Casas and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and Information Sciences.

In The Last Decade

Raquel Trillo-Lado

20 papers receiving 287 citations

Author Peers

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

Author						Papers	Cites
Raquel Trillo-Lado	99	87	73	61	49	24	296
Matthew Peacock	97 1.0×	107 1.2×	50 0.7×	47 0.8×	35 0.7×	14	304
Asif Iqbal Baba	140 1.4×	106 1.2×	53 0.7×	77 1.3×	42 0.9×	20	344
Michele Scalera	80 0.8×	88 1.0×	80 1.1×	68 1.1×	16 0.3×	24	276
Yazed Alsaawy	81 0.8×	78 0.9×	66 0.9×	54 0.9×	17 0.3×	31	270
Alberto Fernández-Isabel	79 0.8×	49 0.6×	144 2.0×	29 0.5×	32 0.7×	36	313
Haslina Md Sarkan	191 1.9×	74 0.9×	117 1.6×	16 0.3×	42 0.9×	30	319
Johann Schlichter	77 0.8×	93 1.1×	155 2.1×	143 2.3×	25 0.5×	26	364
Loris Belcastro	81 0.8×	81 0.9×	110 1.5×	29 0.5×	21 0.4×	31	366
Антон Финогеев	57 0.6×	65 0.7×	36 0.5×	29 0.5×	25 0.5×	21	239
Ebuka Ibeke	92 0.9×	50 0.6×	122 1.7×	51 0.8×	24 0.5×	24	347

Countries citing papers authored by Raquel Trillo-Lado

Since Specialization

Citations

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

Fields of papers citing papers by Raquel Trillo-Lado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel Trillo-Lado. 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 Raquel Trillo-Lado. The network helps show where Raquel Trillo-Lado may publish in the future.

Co-authorship network of co-authors of Raquel Trillo-Lado

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel Trillo-Lado. A scholar is included among the top collaborators of Raquel Trillo-Lado 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 Raquel Trillo-Lado. Raquel Trillo-Lado 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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