J. Mulet

1.7k citations
49 papers · 1.3k · h-index 20

Impact in

Papers in

J. Mulet

45 papers receiving 1.2k citations

Peers

J. Mulet
Comparison fields: 5 of 42
  • Statistical and Nonlinear Physics 466
  • Computer Networks and Communications 712
  • Atomic and Molecular Physics, and Optics 434
  • Electrical and Electronic Engineering 800
  • Acoustics and Ultrasonics 6
Replace David W. Sukow with:
David W. Sukow United States
Yanhua Hong United Kingdom
Gregory D. VanWiggeren United States
J.M. Liu United States
M. C. Torrent Spain
G.H.M. van Tartwijk United States
Lucas Illing United States
Alessandro Scirè Spain
K. Scott Thornburg United States
Sze-Chun Chan Hong Kong
J. Mulet relative to David W. Sukow United States David W. Sukow's profile →
Citations per field
00.5×1.5×1.8×
David W. Sukow · 1×
Citations per year

Countries citing papers authored by J. Mulet

Since Specialization
Citations

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

Fields of papers citing papers by J. Mulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Mulet, 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 J. Mulet Line = papers co-authored together J. Mulet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001350
2 200287
3 200377
4 200274
5 200273
6 200648
7 199948
8 200346
9 200543
10 200243
11 200338
12 199935
13 200633
14 200232
15 200130
16 200624
17 200422
18 200722
19 200422
20 200621

About J. Mulet

J. Mulet is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semiconductor Lasers and Optical Devices (41 papers), Photonic and Optical Devices (27 papers), Optical Network Technologies (19 papers), Advanced Fiber Laser Technologies (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Semiconductor Quantum Structures and Devices (8 papers), Chaos control and synchronization (5 papers) and Advancements in Semiconductor Devices and Circuit Design (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (466 citations), Computer Networks and Communications (712 citations), Atomic and Molecular Physics, and Optics (434 citations), Electrical and Electronic Engineering (800 citations) and Acoustics and Ultrasonics (6 citations). J. Mulet has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Cláudio R. Mirasso, Tilmann Heil, Ingo Fischer, S. Balle, Wolfgang Elsäßer, Cristina Masoller, M. San Miguel, Jesper Mørk, Pere Colet and T. Ackemann. Their work appears in journals such as Physical Review A, IEEE Journal of Quantum Electronics, Optics Letters, Electronics Letters and Physical Review Letters.

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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