Javier Oliver

44 total papers · 567 total citations
27 papers, 414 citations indexed

About

Javier Oliver is a scholar working on Management Science and Operations Research, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Javier Oliver has authored 27 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Management Science and Operations Research, 8 papers in Economics and Econometrics and 5 papers in Strategy and Management. Recurrent topics in Javier Oliver's work include Stock Market Forecasting Methods (9 papers), Optimization and Mathematical Programming (4 papers) and Financial Markets and Investment Strategies (4 papers). Javier Oliver is often cited by papers focused on Stock Market Forecasting Methods (9 papers), Optimization and Mathematical Programming (4 papers) and Financial Markets and Investment Strategies (4 papers). Javier Oliver collaborates with scholars based in Spain, Lithuania and Colombia. Javier Oliver's co-authors include Fernando García, Francisco Guijarro, Rima Tamošiūnienė, Iván Arribas, Christoph Burmann, Victor A. Greenhut and Ismael Moya Clemente and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Neural Computing and Applications.

In The Last Decade

Javier Oliver

25 papers receiving 404 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 Oliver 216 138 128 66 47 27 414
Weiguo Zhang 146 0.7× 229 1.7× 209 1.6× 27 0.4× 27 0.6× 24 427
Milad Jasemi 217 1.0× 83 0.6× 81 0.6× 51 0.8× 11 0.2× 33 400
Wanmo Kang 133 0.6× 100 0.7× 191 1.5× 27 0.4× 68 1.4× 34 445
Ronald K. Klimberg 163 0.8× 85 0.6× 25 0.2× 52 0.8× 26 0.6× 28 408
Mohsen Gharakhani 166 0.8× 58 0.4× 39 0.3× 138 2.1× 97 2.1× 17 369
Jing‐Rung Yu 276 1.3× 100 0.7× 115 0.9× 51 0.8× 6 0.1× 25 411
Anna Grazia Quaranta 138 0.6× 140 1.0× 138 1.1× 108 1.6× 64 1.4× 39 458
Marco Corazza 184 0.9× 231 1.7× 223 1.7× 18 0.3× 9 0.2× 50 481
Verónica Cañal‐Fernández 213 1.0× 119 0.9× 120 0.9× 139 2.1× 52 1.1× 32 457
Taoyong Su 98 0.5× 108 0.8× 43 0.3× 110 1.7× 55 1.2× 36 459

Countries citing papers authored by Javier Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Javier Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Oliver

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