Daniel A. R. Chaves

117 total papers · 750 total citations
71 papers, 504 citations indexed

About

Daniel A. R. Chaves is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Daniel A. R. Chaves has authored 71 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Electrical and Electronic Engineering, 3 papers in Computer Networks and Communications and 2 papers in Artificial Intelligence. Recurrent topics in Daniel A. R. Chaves's work include Advanced Optical Network Technologies (67 papers), Optical Network Technologies (65 papers) and Advanced Photonic Communication Systems (53 papers). Daniel A. R. Chaves is often cited by papers focused on Advanced Optical Network Technologies (67 papers), Optical Network Technologies (65 papers) and Advanced Photonic Communication Systems (53 papers). Daniel A. R. Chaves collaborates with scholars based in Brazil, Canada and Italy. Daniel A. R. Chaves's co-authors include Carmelo J. A. Bastos-Filho, Joaquim F. Martins-Filho, Helder A. Pereira, Raul C. Almeida, Matheus Cavalcante, Danilo Araújo, Marcelo E. V. Segatto, María José Pontes, Elliackin Figueiredo and K. D. R. Assis and has published in prestigious journals such as Sensors, IEEE Transactions on Communications and Applied Sciences.

In The Last Decade

Daniel A. R. Chaves

63 papers receiving 483 citations

Author Peers

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

Author						Papers	Cites
Daniel A. R. Chaves	456	69	22	13	11	71	504
Xin Huang	440 1.0×	65 0.9×	14 0.6×	10 0.8×	26 2.4×	41	565
T. Chen	336 0.7×	27 0.4×	16 0.7×	28 2.2×	15 1.4×	46	492
Hiroyuki Ochi	333 0.7×	65 0.9×	22 1.0×	79 6.1×	5 0.5×	71	488
Kyung‐Geun Lee	355 0.8×	267 3.9×	34 1.5×	13 1.0×	8 0.7×	61	496
Sarah Ruepp	470 1.0×	350 5.1×	17 0.8×	6 0.5×	14 1.3×	122	604
John M. Emmert	447 1.0×	71 1.0×	50 2.3×	7 0.5×	10 0.9×	39	544
Jeong-Taek Kong	366 0.8×	77 1.1×	7 0.3×	7 0.5×	5 0.5×	62	465
F.J. Meyer	409 0.9×	215 3.1×	34 1.5×	39 3.0×	28 2.5×	56	608
Tijani Chahed	496 1.1×	444 6.4×	18 0.8×	6 0.5×	15 1.4×	79	608
S. Radhakrishnan	253 0.6×	462 6.7×	45 2.0×	18 1.4×	8 0.7×	65	593

Countries citing papers authored by Daniel A. R. Chaves

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. R. Chaves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. R. Chaves. 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 Daniel A. R. Chaves. The network helps show where Daniel A. R. Chaves may publish in the future.

Co-authorship network of co-authors of Daniel A. R. Chaves

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. R. Chaves. A scholar is included among the top collaborators of Daniel A. R. Chaves 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 Daniel A. R. Chaves. Daniel A. R. Chaves 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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