Juan Cáceres

3.5k total citations · 2 hit papers
9 papers, 2.2k citations indexed

About

Juan Cáceres is a scholar working on Computer Networks and Communications, Information Systems and Oncology. According to data from OpenAlex, Juan Cáceres has authored 9 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 4 papers in Information Systems and 2 papers in Oncology. Recurrent topics in Juan Cáceres's work include Cloud Computing and Resource Management (4 papers), Distributed systems and fault tolerance (2 papers) and Distributed and Parallel Computing Systems (2 papers). Juan Cáceres is often cited by papers focused on Cloud Computing and Resource Management (4 papers), Distributed systems and fault tolerance (2 papers) and Distributed and Parallel Computing Systems (2 papers). Juan Cáceres collaborates with scholars based in Spain, United Kingdom and United States. Juan Cáceres's co-authors include Luis M. Vaquero, Maik Lindner, Luis Rodero‐Merino, Francisco José Galán Morillo, Kenneth Nagin, W. Emmerich, Alex Galis, Erik Elmroth, Rubén Montero and Ignacio M. Llórente and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

Juan Cáceres

7 papers receiving 1.9k citations

Hit Papers

A break in the clouds 2008 2026 2014 2020 2008 2009 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Juan Cáceres Spain 5 1.8k 1.4k 333 212 192 9 2.2k
Maik Lindner United Kingdom 6 1.4k 0.8× 1.1k 0.8× 279 0.8× 183 0.9× 195 1.0× 8 1.8k
Stefan Tai Germany 21 1.5k 0.8× 1.1k 0.8× 544 1.6× 107 0.5× 326 1.7× 72 1.8k
Marcos Dias de Assunção Brazil 16 1.3k 0.7× 1.3k 1.0× 252 0.8× 161 0.8× 231 1.2× 47 1.9k
Luis Rodero‐Merino Spain 9 2.2k 1.3× 2.2k 1.6× 490 1.5× 220 1.0× 189 1.0× 13 3.1k
S. Subashini India 8 1.4k 0.8× 573 0.4× 650 2.0× 114 0.5× 141 0.7× 15 1.8k
Rania Khalaf United States 17 1.4k 0.8× 846 0.6× 724 2.2× 141 0.7× 743 3.9× 35 1.9k
G. R. Gangadharan India 18 799 0.5× 631 0.5× 345 1.0× 72 0.3× 194 1.0× 90 1.4k
Mathias Ekstedt Sweden 27 1.5k 0.9× 913 0.7× 282 0.8× 85 0.4× 716 3.7× 133 2.2k
Yuri Demchenko Netherlands 19 736 0.4× 604 0.4× 300 0.9× 231 1.1× 344 1.8× 94 1.5k
Neal Leavitt 15 683 0.4× 589 0.4× 212 0.6× 111 0.5× 109 0.6× 25 1.1k

Countries citing papers authored by Juan Cáceres

Since Specialization
Citations

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

Fields of papers citing papers by Juan Cáceres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Cáceres

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

All Works

9 of 9 papers shown
1.
Cáceres, Juan, Guillermo Alonso, Adriana Flores, et al.. (2025). Characterization of congenital hyperinsulinism in Argentina: Clinical features, genetic findings, and treatment outcomes. PLoS ONE. 20(8). e0321244–e0321244.
2.
Latini, Andrea, Paola Borgiani, Cinzia Ciccacci, et al.. (2024). Large-scale DNA sequencing identifies rare variants associated with Systemic Lupus Erythematosus susceptibility in known risk genes. Gene. 907. 148279–148279.
4.
Cáceres, Juan, Benjamı́n Barán, & Christian E. Schaerer. (2014). Implementation of a distributed parallel in time scheme using PETSc for a Parabolic Optimal Control Problem. SHILAP Revista de lepidopterología. 2. 577–586. 1 indexed citations
5.
Vaquero, Luis M., Juan Cáceres, & Daniel Morán. (2011). The Challenge of Service Level Scalability for the Cloud. International Journal of Cloud Applications and Computing. 1(1). 34–44. 6 indexed citations
6.
Lindner, Maik, et al.. (2010). Cloud economics: dynamic business models for business on demand. International Journal of Business Information Systems. 5(4). 373–373. 22 indexed citations
7.
Rochwerger, Benny, David Breitgand, Eliezer Levy, et al.. (2009). The Reservoir model and architecture for open federated cloud computing. IBM Journal of Research and Development. 53(4). 4:1–4:11. 499 indexed citations breakdown →
8.
Vaquero, Luis M., Luis Rodero‐Merino, Juan Cáceres, & Maik Lindner. (2008). A break in the clouds. ACM SIGCOMM Computer Communication Review. 39(1). 50–55. 1644 indexed citations breakdown →
9.
Reina‐Tosina, Javier, Laura M. Roa, Juan Cáceres, & Tomás Gómez‐Cía. (2002). New approaches toward the fully digital integrated management of a burn unit. IEEE Transactions on Biomedical Engineering. 49(12). 1470–1476. 3 indexed citations

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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