Danilo H. Jara

43 total papers · 779 total citations
17 papers, 686 citations indexed

About

Danilo H. Jara is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Danilo H. Jara has authored 17 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Danilo H. Jara's work include Advanced Photocatalysis Techniques (6 papers), Magnetism in coordination complexes (5 papers) and Quantum Dots Synthesis And Properties (5 papers). Danilo H. Jara is often cited by papers focused on Advanced Photocatalysis Techniques (6 papers), Magnetism in coordination complexes (5 papers) and Quantum Dots Synthesis And Properties (5 papers). Danilo H. Jara collaborates with scholars based in Chile, United States and Canada. Danilo H. Jara's co-authors include Prashant V. Kamat, Kevin G. Stamplecoskie, Seog Joon Yoon, Elena Selli, Ivan Grigioni, Maria Vittoria Dozzi, Marco Antônio Schiavon, Ellen Raphael, Aurelio Oriana and Giulio Cerullo and has published in prestigious journals such as Chemistry of Materials, ACS Applied Materials & Interfaces and The Journal of Physical Chemistry Letters.

In The Last Decade

Danilo H. Jara

16 papers receiving 682 citations

Author Peers

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

Author						Papers	Cites
Danilo H. Jara	562	434	333	50	39	17	686
Wendu Ding	316 0.6×	224 0.5×	321 1.0×	35 0.7×	38 1.0×	11	564
Michael Y. Odoi	434 0.8×	285 0.7×	165 0.5×	36 0.7×	37 0.9×	13	553
Gongchang Zeng	594 1.1×	257 0.6×	658 2.0×	73 1.5×	48 1.2×	20	793
T. Purnima A. Ruberu	524 0.9×	304 0.7×	358 1.1×	102 2.0×	64 1.6×	11	708
Richard R. Durand	284 0.5×	268 0.6×	266 0.8×	38 0.8×	38 1.0×	12	578
Chien‐Lan Chiu	562 1.0×	134 0.3×	486 1.5×	48 1.0×	59 1.5×	11	712
Shigeki Hattori	625 1.1×	228 0.5×	382 1.1×	43 0.9×	107 2.7×	18	780
Gabriele Marotta	455 0.8×	148 0.3×	527 1.6×	25 0.5×	50 1.3×	18	683
Kyung-Ryang Wee	375 0.7×	261 0.6×	650 2.0×	16 0.3×	40 1.0×	16	791
Yali Sun	287 0.5×	172 0.4×	315 0.9×	37 0.7×	78 2.0×	19	570

Countries citing papers authored by Danilo H. Jara

Since Specialization

Citations

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

Fields of papers citing papers by Danilo H. Jara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo H. Jara. 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 Danilo H. Jara. The network helps show where Danilo H. Jara may publish in the future.

Co-authorship network of co-authors of Danilo H. Jara

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo H. Jara. A scholar is included among the top collaborators of Danilo H. Jara 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 Danilo H. Jara. Danilo H. Jara 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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