Oscar Chaparro

73 total papers · 779 total citations
30 papers, 506 citations indexed

About

Oscar Chaparro is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Oscar Chaparro has authored 30 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 11 papers in Artificial Intelligence and 11 papers in Software. Recurrent topics in Oscar Chaparro's work include Software Engineering Research (21 papers), Advanced Malware Detection Techniques (8 papers) and Software Testing and Debugging Techniques (7 papers). Oscar Chaparro is often cited by papers focused on Software Engineering Research (21 papers), Advanced Malware Detection Techniques (8 papers) and Software Testing and Debugging Techniques (7 papers). Oscar Chaparro collaborates with scholars based in United States, Switzerland and Italy. Oscar Chaparro's co-authors include Andrian Marcus, Juan Manuel Florez, Gabriele Bavota, Massimiliano Di Penta, Yang Song, Laura Moreno, Jing Lü, Vincent Ng, Fiorella Zampetti and Christoph Treude and has published in prestigious journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering and Adelaide Research & Scholarship (AR&S) (University of Adelaide).

In The Last Decade

Oscar Chaparro

27 papers receiving 484 citations

Author Peers

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

Author						Papers	Cites
Oscar Chaparro	440	231	136	115	104	30	506
Markus Pizka	495 1.1×	273 1.2×	216 1.6×	92 0.8×	139 1.3×	37	575
Antonino Sabetta	368 0.8×	185 0.8×	194 1.4×	150 1.3×	252 2.4×	42	525
Fabiano Pecorelli	454 1.0×	318 1.4×	119 0.9×	132 1.1×	135 1.3×	43	574
Markus Lumpe	455 1.0×	310 1.3×	224 1.6×	82 0.7×	161 1.5×	32	598
Mário Jino	304 0.7×	260 1.1×	85 0.6×	84 0.7×	159 1.5×	68	472
Caroline Lemieux	325 0.7×	410 1.8×	178 1.3×	168 1.5×	112 1.1×	21	597
Toufique Ahmed	342 0.8×	150 0.6×	254 1.9×	57 0.5×	104 1.0×	25	502
Francisco Servant	388 0.9×	266 1.2×	105 0.8×	89 0.8×	114 1.1×	30	464
Kunal Taneja	379 0.9×	349 1.5×	110 0.8×	91 0.8×	145 1.4×	22	539
James A. Whittaker	285 0.6×	303 1.3×	84 0.6×	75 0.7×	132 1.3×	28	465

Countries citing papers authored by Oscar Chaparro

Since Specialization

Citations

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

Fields of papers citing papers by Oscar Chaparro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oscar Chaparro

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