Antonio Revilla

17 total papers · 546 total citations
13 papers, 397 citations indexed

About

Antonio Revilla is a scholar working on Strategy and Management, Organizational Behavior and Human Resource Management and Economics and Econometrics. According to data from OpenAlex, Antonio Revilla has authored 13 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Strategy and Management, 6 papers in Organizational Behavior and Human Resource Management and 4 papers in Economics and Econometrics. Recurrent topics in Antonio Revilla's work include Corporate Finance and Governance (4 papers), Innovation and Knowledge Management (4 papers) and Job Satisfaction and Organizational Behavior (3 papers). Antonio Revilla is often cited by papers focused on Corporate Finance and Governance (4 papers), Innovation and Knowledge Management (4 papers) and Job Satisfaction and Organizational Behavior (3 papers). Antonio Revilla collaborates with scholars based in Spain, United Kingdom and Peru. Antonio Revilla's co-authors include Zulima Fernández, María J. Nieto, Ana Pérez‐Luño, Grigorios Asimakopoulos, Juan A. García, Alicia Rodríguez, Jaime Bonache and Virginia Hernández and has published in prestigious journals such as Journal of Business Research, Business Strategy and the Environment and Technovation.

In The Last Decade

Antonio Revilla

12 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Antonio Revilla	176	151	116	101	90	13	397
Kuo‐Pin Yang	248 1.4×	115 0.8×	99 0.9×	104 1.0×	87 1.0×	18	429
Erik Døving	185 1.1×	132 0.9×	75 0.6×	91 0.9×	109 1.2×	22	425
Sally W. Fowler	205 1.2×	125 0.8×	62 0.5×	154 1.5×	84 0.9×	11	440
Arvind Bhambri	189 1.1×	170 1.1×	47 0.4×	86 0.9×	130 1.4×	14	408
Fernando Angulo‐Ruiz	157 0.9×	91 0.6×	119 1.0×	124 1.2×	147 1.6×	18	413
Martin Sims	240 1.4×	82 0.5×	119 1.0×	135 1.3×	78 0.9×	12	431
Tobias Dauth	202 1.1×	131 0.9×	66 0.6×	72 0.7×	140 1.6×	18	424
Robert Demir	230 1.3×	80 0.5×	96 0.8×	136 1.3×	86 1.0×	23	411
Ron Ashkenas	201 1.1×	107 0.7×	50 0.4×	66 0.7×	104 1.2×	17	401
Joris J. Ebbers	113 0.6×	115 0.8×	52 0.4×	154 1.5×	89 1.0×	20	384

Countries citing papers authored by Antonio Revilla

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Revilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Revilla

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