Pedro Parra‐Rivas

166 total papers · 1.4k total citations
66 papers, 865 citations indexed

About

Pedro Parra‐Rivas is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Pedro Parra‐Rivas has authored 66 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Atomic and Molecular Physics, and Optics, 34 papers in Statistical and Nonlinear Physics and 28 papers in Computer Networks and Communications. Recurrent topics in Pedro Parra‐Rivas's work include Advanced Fiber Laser Technologies (53 papers), Nonlinear Photonic Systems (31 papers) and Nonlinear Dynamics and Pattern Formation (28 papers). Pedro Parra‐Rivas is often cited by papers focused on Advanced Fiber Laser Technologies (53 papers), Nonlinear Photonic Systems (31 papers) and Nonlinear Dynamics and Pattern Formation (28 papers). Pedro Parra‐Rivas collaborates with scholars based in Belgium, Italy and Spain. Pedro Parra‐Rivas's co-authors include Lendert Gelens, Damià Gomila, Edgar Knobloch, Stéphane Coen, François Léo, Manuel A. Matı́as, S. Wabnitz, Yifan Sun, Pere Colet and Mustapha Tlidi and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nature Photonics.

In The Last Decade

Pedro Parra‐Rivas

55 papers receiving 848 citations

Author Peers

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

Author						Papers	Cites
Pedro Parra‐Rivas	718	428	379	242	38	66	865
Shijun Zhu	771 1.1×	204 0.5×	268 0.7×	128 0.5×	28 0.7×	55	990
Bruno Garbin	513 0.7×	468 1.1×	246 0.6×	213 0.9×	8 0.2×	39	775
S. Coulibaly	472 0.7×	194 0.5×	530 1.4×	475 2.0×	17 0.4×	63	879
D. Pieroux	371 0.5×	442 1.0×	219 0.6×	414 1.7×	24 0.6×	45	811
Yafeng He	197 0.3×	417 1.0×	237 0.6×	169 0.7×	12 0.3×	73	892
Stephen W. Teitsworth	507 0.7×	293 0.7×	298 0.8×	241 1.0×	7 0.2×	47	813
E. Louvergneaux	555 0.8×	313 0.7×	383 1.0×	299 1.2×	17 0.4×	36	790
A. Lapucci	264 0.4×	367 0.9×	197 0.5×	291 1.2×	32 0.8×	58	705
Carles Milián	787 1.1×	394 0.9×	188 0.5×	31 0.1×	10 0.3×	42	877
V. B. Taranenko	698 1.0×	339 0.8×	376 1.0×	557 2.3×	11 0.3×	77	939

Countries citing papers authored by Pedro Parra‐Rivas

Since Specialization

Citations

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

Fields of papers citing papers by Pedro Parra‐Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Parra‐Rivas. 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 Pedro Parra‐Rivas. The network helps show where Pedro Parra‐Rivas may publish in the future.

Co-authorship network of co-authors of Pedro Parra‐Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Parra‐Rivas. A scholar is included among the top collaborators of Pedro Parra‐Rivas 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 Pedro Parra‐Rivas. Pedro Parra‐Rivas 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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