Bicky A. Márquez

677 citations
20 papers · 415 · h-index 9

Impact in

Papers in

Bicky A. Márquez

20 papers receiving 393 citations

Peers

Bicky A. Márquez
Comparison fields: 5 of 29
  • Artificial Intelligence 363
  • Electrical and Electronic Engineering 380
  • Acoustics and Ultrasonics 4
  • Statistical and Nonlinear Physics 17
  • Computer Networks and Communications 31
Replace François Duport with:
François Duport France
A. Baylón-Fuentes Mexico
Julián Bueno United Kingdom
Werner Coomans Belgium
Lina Jaurigue Germany
André Röhm Japan
Ai Jun Wen China
Y. Philip United States
Lorenzo De Marinis Italy
Alexander Sludds United States
Bicky A. Márquez relative to François Duport France François Duport's profile →
Citations per field
00.5×1.5×
François Duport · 1×
Citations per year

Countries citing papers authored by Bicky A. Márquez

Since Specialization
Citations

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

Fields of papers citing papers by Bicky A. Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bicky A. Márquez. 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 Bicky A. Márquez. The network helps show where Bicky A. Márquez may publish in the future.

Co-authors

The 21 scholars most cited alongside Bicky A. Márquez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bicky A. Márquez Line = papers co-authored together Bicky A. Márquez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019151
2 2018105
3 202253
4 201827
5 202110
6 20229
7 20229
8 20169
9 20188
10 20237
11 20207
12 20146
13 20203
14 20203
15 20202
16 20192
17 20211
18 20211
19 20211
20 20201

About Bicky A. Márquez

Bicky A. Márquez is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 20 papers that have together received 415 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (19 papers), Photonic and Optical Devices (14 papers), Optical Network Technologies (11 papers), Advanced Memory and Neural Computing (10 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Advanced Fiber Laser Technologies (1 paper), Chaos control and synchronization (1 paper) and stochastic dynamics and bifurcation (1 paper). The work is most often cited by research in Artificial Intelligence (363 citations), Electrical and Electronic Engineering (380 citations), Acoustics and Ultrasonics (4 citations), Statistical and Nonlinear Physics (17 citations) and Computer Networks and Communications (31 citations). Bicky A. Márquez has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Bhavin J. Shastri, Paul R. Prucnal, Alexander N. Tait, Daniel Brunner, Laurent Larger, Maxime Jacquot, Thomas Ferreira de Lima, Mitchell A. Nahmias, Hsuan-Tung Peng and Bogdan Penkovsky. Their work appears in journals such as IEEE Journal of Selected Topics in Quantum Electronics, Scientific Reports, Chaos An Interdisciplinary Journal of Nonlinear Science, Nanophotonics and APL Photonics.

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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