Javier Conejero

44 total papers · 439 total citations
19 papers, 229 citations indexed

About

Javier Conejero is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Javier Conejero has authored 19 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Information Systems and 5 papers in Information Systems and Management. Recurrent topics in Javier Conejero's work include Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (5 papers). Javier Conejero is often cited by papers focused on Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (5 papers). Javier Conejero collaborates with scholars based in Spain, United Kingdom and Sweden. Javier Conejero's co-authors include Rosa M. Badía, Pete Burnap, Jeffrey Morgan, Omer Rana, Daniele Lezzi, Jorge Ejarque, Carmen Carrión, Blanca Caminero, Francesc Lordan and Jesús Labarta and has published in prestigious journals such as Future Generation Computer Systems, Scientific Data and Computing in Science & Engineering.

In The Last Decade

Javier Conejero

18 papers receiving 222 citations

Author Peers

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

Author Last Decade Papers Cites
Javier Conejero 116 106 36 36 34 19 229
Philip Healy 161 1.4× 162 1.5× 20 0.6× 47 1.3× 19 0.6× 23 253
Carmen M. Pancerella 103 0.9× 44 0.4× 59 1.6× 23 0.6× 28 0.8× 22 227
Sujoy Basu 236 2.0× 138 1.3× 16 0.4× 63 1.8× 26 0.8× 24 317
Mache Creeger 130 1.1× 153 1.4× 27 0.8× 34 0.9× 31 0.9× 18 250
Stefan Nusser 61 0.5× 106 1.0× 26 0.7× 79 2.2× 7 0.2× 17 217
Ville Tuulos 160 1.4× 145 1.4× 15 0.4× 75 2.1× 8 0.2× 18 294
James E. Dobson 112 1.0× 76 0.7× 80 2.2× 42 1.2× 18 0.5× 19 210
Ronald Ashri 107 0.9× 84 0.8× 11 0.3× 143 4.0× 11 0.3× 19 269
Raj Kettimuthu 206 1.8× 79 0.7× 74 2.1× 30 0.8× 35 1.0× 23 310
Dominic Battré 241 2.1× 201 1.9× 44 1.2× 60 1.7× 20 0.6× 21 305

Countries citing papers authored by Javier Conejero

Since Specialization
Citations

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

Fields of papers citing papers by Javier Conejero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Conejero

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Conejero. A scholar is included among the top collaborators of Javier Conejero 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 Javier Conejero. Javier Conejero 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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