M. A. de Ponte

45 total papers · 413 total citations
29 papers, 249 citations indexed

About

M. A. de Ponte is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, M. A. de Ponte has authored 29 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Atomic and Molecular Physics, and Optics, 25 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in M. A. de Ponte's work include Quantum Information and Cryptography (24 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and Quantum Mechanics and Applications (8 papers). M. A. de Ponte is often cited by papers focused on Quantum Information and Cryptography (24 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and Quantum Mechanics and Applications (8 papers). M. A. de Ponte collaborates with scholars based in Brazil. M. A. de Ponte's co-authors include M. H. Y. Moussa, M. C. de Oliveira, S. S. Mizrahi, Alan C. Santos, Celso J. Villas-Bôas, Lucas C. Céleri, Tiago B. Batalhão, R. M. Serra, Romain Bachelard and J. A. O. Huguenin and has published in prestigious journals such as Scientific Reports, Physical Review A and Annals of Physics.

In The Last Decade

M. A. de Ponte

28 papers receiving 245 citations

Author Peers

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

Author Last Decade Papers Cites
M. A. de Ponte 230 177 65 20 11 29 249
Tatsuhiko Shirai 208 0.9× 139 0.8× 77 1.2× 12 0.6× 6 0.5× 24 303
R. Gutiérrez-Jáuregui 278 1.2× 227 1.3× 59 0.9× 19 0.9× 5 0.5× 21 321
А. A. Калинкин 229 1.0× 119 0.7× 66 1.0× 37 1.9× 5 0.5× 28 276
Frederico Brito 220 1.0× 187 1.1× 40 0.6× 38 1.9× 4 0.4× 19 266
Changhun Oh 204 0.9× 237 1.3× 19 0.3× 27 1.4× 3 0.3× 32 279
Siddhartha Santra 220 1.0× 188 1.1× 65 1.0× 15 0.8× 4 0.4× 23 274
Hatim Salih 275 1.2× 254 1.4× 23 0.4× 9 0.5× 6 0.5× 15 303
Dahyun Yum 231 1.0× 203 1.1× 64 1.0× 16 0.8× 5 0.5× 15 302
Joanna K. Kalaga 253 1.1× 166 0.9× 79 1.2× 12 0.6× 15 1.4× 33 288
Bixuan Fan 281 1.2× 231 1.3× 44 0.7× 55 2.8× 12 1.1× 22 328

Countries citing papers authored by M. A. de Ponte

Since Specialization
Citations

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

Fields of papers citing papers by M. A. de Ponte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. de Ponte. 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 M. A. de Ponte. The network helps show where M. A. de Ponte may publish in the future.

Co-authorship network of co-authors of M. A. de Ponte

This figure shows the co-authorship network connecting the top 25 collaborators of M. A. de Ponte. A scholar is included among the top collaborators of M. A. de Ponte 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 M. A. de Ponte. M. A. de Ponte 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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