Enrique Antonio‐Lopez

829 total citations
30 papers, 651 citations indexed

About

Enrique Antonio‐Lopez is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Enrique Antonio‐Lopez has authored 30 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 4 papers in Atomic and Molecular Physics, and Optics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Enrique Antonio‐Lopez's work include Advanced Fiber Optic Sensors (22 papers), Photonic and Optical Devices (19 papers) and Semiconductor Lasers and Optical Devices (14 papers). Enrique Antonio‐Lopez is often cited by papers focused on Advanced Fiber Optic Sensors (22 papers), Photonic and Optical Devices (19 papers) and Semiconductor Lasers and Optical Devices (14 papers). Enrique Antonio‐Lopez collaborates with scholars based in United States, Spain and Mexico. Enrique Antonio‐Lopez's co-authors include Rodrigo Amezcua‐Correa, Axel Schülzgen, Joel Villatoro, Joseba Zubía, Amy Van Newkirk, Xiang Zhou, Cen Xia, Gaizka Durana, Neng Bai and G. Salceda-Delgado and has published in prestigious journals such as Scientific Reports, Optics Letters and Optics Express.

In The Last Decade

Enrique Antonio‐Lopez

30 papers receiving 592 citations

Peers

Enrique Antonio‐Lopez
Yaxi Yan China
Yang Cui China
Zhengyu Huang United States
R. Ortiz United States
Enrique Antonio‐Lopez
Citations per year, relative to Enrique Antonio‐Lopez Enrique Antonio‐Lopez (= 1×) peers M. A. Quintela

Countries citing papers authored by Enrique Antonio‐Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Antonio‐Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrique Antonio‐Lopez. 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 Enrique Antonio‐Lopez. The network helps show where Enrique Antonio‐Lopez may publish in the future.

Co-authorship network of co-authors of Enrique Antonio‐Lopez

This figure shows the co-authorship network connecting the top 25 collaborators of Enrique Antonio‐Lopez. A scholar is included among the top collaborators of Enrique Antonio‐Lopez 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 Enrique Antonio‐Lopez. Enrique Antonio‐Lopez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Durana, Gaizka, Enrique Antonio‐Lopez, Axel Schülzgen, et al.. (2021). Compact omnidirectional multicore fiber-based vector bending sensor. Scientific Reports. 11(1). 5989–5989. 16 indexed citations
2.
Antonio‐Lopez, Enrique, Axel Schülzgen, Joseba Zubía, et al.. (2021). Sensitivity-optimized strongly coupled multicore fiber-based thermometer. Optics & Laser Technology. 145. 107532–107532. 9 indexed citations
3.
Durana, Gaizka, Enrique Antonio‐Lopez, Axel Schülzgen, et al.. (2020). Highly sensitive multicore fiber accelerometer for low frequency vibration sensing. Scientific Reports. 10(1). 16180–16180. 22 indexed citations
4.
Villatoro, Joel, et al.. (2020). Composed multicore fiber structure for direction-sensitive curvature monitoring. APL Photonics. 5(7). 23 indexed citations
5.
Habib, Md. Selim, Enrique Antonio‐Lopez, Christos Markos, Axel Schülzgen, & Rodrigo Amezcua‐Correa. (2019). Single mode, Low-loss 5-tube Nested Hollow-core Anti-resonant Fiber. W2A.12–W2A.12. 5 indexed citations
6.
Villatoro, Joel, et al.. (2018). Packaged Multi-core Fiber Interferometric Vibration Sensor. Conference on Lasers and Electro-Optics. SM2K.6–SM2K.6. 2 indexed citations
7.
Villatoro, Joel, et al.. (2018). Simple Multi-core Optical Fiber Accelerometer. Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF). SeW3E.4–SeW3E.4. 2 indexed citations
8.
Villatoro, Joel, Gaizka Durana, Idurre Sáez de Ocáriz, et al.. (2017). Accurate strain sensing based on super-mode interference in strongly coupled multi-core optical fibres. Scientific Reports. 7(1). 4451–4451. 54 indexed citations
9.
Villatoro, Joel, Enrique Antonio‐Lopez, Joseba Zubía, Axel Schülzgen, & Rodrigo Amezcua‐Correa. (2017). Interferometer based on strongly coupled multi-core optical fiber for accurate vibration sensing. Optics Express. 25(21). 25734–25734. 40 indexed citations
10.
Villatoro, Joel, Amy Van Newkirk, Enrique Antonio‐Lopez, et al.. (2016). Ultrasensitive vector bending sensor based on multicore optical fiber. Optics Letters. 41(4). 832–832. 102 indexed citations
11.
Villatoro, Joel, Amy Van Newkirk, Enrique Antonio‐Lopez, et al.. (2016). Sensitive interferometric force sensor based on multicore optical fibre. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9916. 99161P–99161P. 1 indexed citations
12.
Newkirk, Amy Van, et al.. (2015). Simultaneous Measurement of Strain and Temperature using High Sensitivity Multicore Fiber Sensors. Journal of International Crisis and Risk Communication Research. SM1L.4–SM1L.4. 2 indexed citations
13.
Eznaveh, Z. Sanjabi, G. López-Galmiche, Enrique Antonio‐Lopez, & Rodrigo Amezcua Correa. (2015). Bi-directional pump configuration for increasing thermal modal instabilities threshold in high power fiber amplifiers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9344. 93442G–93442G. 18 indexed citations
14.
Xia, Cen, Rodrigo Amezcua‐Correa, Neng Bai, et al.. (2014). Low-crosstalk few-mode multi-core fiber for high-mode-density space-division multiplexing. 1–3. 1 indexed citations
15.
Antonio‐Lopez, Enrique, G. Salceda-Delgado, Amy Van Newkirk, Axel Schülzgen, & Rodrigo Amezcua‐Correa. (2014). Multiplexed High Temperature Sensor Based on Multicore Fiber. Journal of International Crisis and Risk Communication Research. SeW4C.2–SeW4C.2. 4 indexed citations
16.
Uden, R.G.H. van, Rodrigo Amezcua Correa, Enrique Antonio‐Lopez, et al.. (2014). 16QAM SDM-WDM Transmission over a Novel Hole-Assisted Few-Mode Multi-Core Fiber. TU/e Research Portal. 24. 156–157. 2 indexed citations
17.
Newkirk, Amy Van, Z. Sanjabi Eznaveh, Enrique Antonio‐Lopez, et al.. (2014). High Temperature Sensor based on Supermode Interference in Multicore Fiber. Journal of International Crisis and Risk Communication Research. SM2N.7–SM2N.7. 4 indexed citations
18.
Newkirk, Amy Van, Enrique Antonio‐Lopez, G. Salceda-Delgado, Rodrigo Amezcua‐Correa, & Axel Schülzgen. (2014). Optimization of multicore fiber for high-temperature sensing. Optics Letters. 39(16). 4812–4812. 52 indexed citations
19.
Xia, Cen, Neng Bai, Enrique Antonio‐Lopez, et al.. (2013). Supermodes in strongly-coupled multi-core fibers. Journal of International Crisis and Risk Communication Research. OTh3K.5–OTh3K.5. 11 indexed citations
20.
Xia, Cen, Rodrigo Amezcua‐Correa, Neng Bai, et al.. (2012). Hole-assisted few-mode multi-core fiber for high-density space-division multiplexing. Journal of International Crisis and Risk Communication Research. 206–207. 13 indexed citations

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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