Alejandro Toral-López

402 citations
26 papers · 306 · h-index 8

Impact in

Papers in

Alejandro Toral-López

24 papers receiving 300 citations

Peers

Alejandro Toral-López
Comparison fields: 5 of 41
  • Electrical and Electronic Engineering 161
  • Bioengineering 15
  • Biomedical Engineering 113
  • Polymers and Plastics 35
  • Materials Chemistry 107
Replace Sarbashis Das with:
Sarbashis Das United States
Mengru Zhang China
Colin O’Callaghan Ireland
Serge Ecoffey Canada
Yurong Liu China
Jin Zhang Peng China
Fengyun Sun China
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Curtis J. O’Kelly Ireland
Christian D. Matthus Germany
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Citations per field
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Citations per year

Countries citing papers authored by Alejandro Toral-López

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Toral-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Toral-López. 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 Alejandro Toral-López. The network helps show where Alejandro Toral-López may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201961
2 201957
3 202150
4 202025
5 201921
6 202314
7 202010
8 202310
9 20228
10 20247
11 20236
12 20185
13 20244
14 20234
15 20204
16 20214
17 20214
18 20253
19
Calculation of the Ballistic Current of Few-Layer MoS2 Field-Effect Transistors
20152
20 20192

About Alejandro Toral-López

Alejandro Toral-López is a scholar working on Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering, Bioengineering and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 306 indexed citations. Recurring topics across this work include 2D Materials and Applications (13 papers), Graphene research and applications (10 papers), MXene and MAX Phase Materials (6 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Nanowire Synthesis and Applications (5 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Advanced Memory and Neural Computing (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Electrical and Electronic Engineering (161 citations), Bioengineering (15 citations), Biomedical Engineering (113 citations), Polymers and Plastics (35 citations) and Materials Chemistry (107 citations). Alejandro Toral-López has collaborated with scholars based in Spain, Italy and Germany. Frequent co-authors include Andres Godoy Medina, Francisco J. Garcia Ruiz, Noel Rodríguez, Francisco José Romero, Diego Pedro Morales, Enrique Gonzalez Marin, Akiko Ohata, Francisco Pasadas, David Jiménez and Almudena Rivadeneyra. Their work appears in journals such as Nanoscale Advances, Advanced Functional Materials, IEEE Journal of the Electron Devices Society, Small and Nanotechnology.

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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