Servando Espejo

2.1k citations
91 papers · 1.6k · h-index 19

Impact in

Papers in

Servando Espejo

84 papers receiving 1.5k citations

Peers

Servando Espejo
Comparison fields: 5 of 57
  • Hardware and Architecture 162
  • Biomedical Engineering 570
  • Computer Vision and Pattern Recognition 333
  • Electrical and Electronic Engineering 770
  • Artificial Intelligence 297
Replace Tetsuya Asai with:
Tetsuya Asai Japan
Ákos Zarándy Hungary
Armin Alaghi United States
Nanjian Wu China
Alessandro Trifiletti Italy
Kamran Eshraghian Australia
J.L. Huertas Spain
Zhengya Zhang United States
Ricardo Carmona‐Galán Spain
Ravindra A. Athale United States
Servando Espejo relative to Tetsuya Asai Japan Tetsuya Asai's profile →
Citations per field
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Tetsuya Asai · 1×
Citations per year

Countries citing papers authored by Servando Espejo

Since Specialization
Citations

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

Fields of papers citing papers by Servando Espejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004175
2 1993147
3 1997127
4 2021101
5 199695
6 200266
7 200466
8 199453
9 200351
10 200247
11 200845
12 200243
13 200342
14 199139
15
ACE16k: A Programmable Focal Plane Vision Processor with 128 x 128 Resolution
200139
16 202334
17 199226
18 200223
19
ACE16K: An advanced focal-plane analog programmable array processor
200122
20 200218

About Servando Espejo

Servando Espejo is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (71 papers), Advanced Memory and Neural Computing (36 papers), CCD and CMOS Imaging Sensors (25 papers), Low-power high-performance VLSI design (5 papers), Advanced Neural Network Applications (5 papers), Radiation Effects in Electronics (5 papers), Planetary Science and Exploration (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Hardware and Architecture (162 citations), Biomedical Engineering (570 citations), Computer Vision and Pattern Recognition (333 citations), Electrical and Electronic Engineering (770 citations) and Artificial Intelligence (297 citations). Servando Espejo has collaborated with scholars based in Spain, United States and Hungary. Frequent co-authors include Angel Rodriguez-Vazquez, Rafael Domínguez-Castro, Ricardo Carmona‐Galán, G. Liñán, J.L. Huertas, F. Jiménez-Garrido, E. Sánchez‐Sinencio, E. Roca, T. Roska and Manuel Delgado‐Restituto. Their work appears in journals such as Electronics Letters, IEEE Journal of Solid-State Circuits, International Journal of Circuit Theory and Applications, Space Science Reviews and International Journal of Neural Systems.

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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