Francisco Maya

17 total papers · 951 total citations
13 papers, 836 citations indexed

About

Francisco Maya is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Francisco Maya has authored 13 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 6 papers in Materials Chemistry and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Francisco Maya's work include Molecular Junctions and Nanostructures (12 papers), Organic Electronics and Photovoltaics (4 papers) and Quantum and electron transport phenomena (4 papers). Francisco Maya is often cited by papers focused on Molecular Junctions and Nanostructures (12 papers), Organic Electronics and Photovoltaics (4 papers) and Quantum and electron transport phenomena (4 papers). Francisco Maya collaborates with scholars based in United States. Francisco Maya's co-authors include James M. Tour, Michael Stewart, Shawn M. Dirk, Christine L. McGuiness, Dmitry V. Kosynkin, Joshua J. Stapleton, David L. Allara, Paul S. Weiss, Yuxing Yao and Austen K. Flatt and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Chemistry of Materials.

In The Last Decade

Francisco Maya

13 papers receiving 822 citations

Author Peers

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

Author						Papers	Cites
Francisco Maya	629	334	192	173	138	13	836
Austen K. Flatt	627 1.0×	372 1.1×	193 1.0×	196 1.1×	123 0.9×	14	821
Kung‐Ching Liao	649 1.0×	281 0.8×	163 0.8×	196 1.1×	84 0.6×	26	766
Simon Flink	557 0.9×	314 0.9×	195 1.0×	127 0.7×	117 0.8×	12	937
Emma J. Dell	743 1.2×	297 0.9×	158 0.8×	326 1.9×	107 0.8×	10	910
David C. Milán	828 1.3×	328 1.0×	193 1.0×	333 1.9×	148 1.1×	35	1.0k
Florian von Wrochem	636 1.0×	405 1.2×	173 0.9×	125 0.7×	87 0.6×	27	917
Zhibing Tan	578 0.9×	263 0.8×	303 1.6×	251 1.5×	68 0.5×	23	860
Christine L. McGuiness	639 1.0×	326 1.0×	243 1.3×	182 1.1×	30 0.2×	12	771
Tianren Fu	486 0.8×	165 0.5×	121 0.6×	211 1.2×	316 2.3×	18	852
Jay C. Henderson	712 1.1×	310 0.9×	146 0.8×	189 1.1×	154 1.1×	18	1.0k

Countries citing papers authored by Francisco Maya

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Maya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Maya

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