Daniel G. Trabada

675 citations
20 papers · 523 · h-index 8

Impact in

Papers in

Daniel G. Trabada

20 papers receiving 521 citations

Peers

Daniel G. Trabada
Comparison fields: 5 of 45
  • Atomic and Molecular Physics, and Optics 305
  • Materials Chemistry 335
  • Structural Biology 8
  • Electronic, Optical and Magnetic Materials 80
  • Electrical and Electronic Engineering 187
Replace Gerson Mette with:
Gerson Mette Germany
Matthias Meißner Germany
Frank Matthes Germany
Stefan Lach Germany
Jianshu Yang China
Pavel Dorozhkin Japan
Christophe Nacci Germany
A. O. Gusev France
F.F.L. Bentivegna France
R. Jacquemin Germany
Daniel G. Trabada relative to Gerson Mette Germany Gerson Mette's profile →
Citations per field
00.5×2.6×
Gerson Mette · 1×
Citations per year

Countries citing papers authored by Daniel G. Trabada

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Trabada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Trabada. 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 Daniel G. Trabada. The network helps show where Daniel G. Trabada may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011209
2 201268
3 201366
4 201447
5 201326
6 201926
7 200915
8 201110
9 20207
10 20247
11 20157
12 20097
13 20155
14 20195
15
Advances and applications in the FIREBALL ab initio tightbinding moleculardynamics formalism
20115
16 20154
17 20184
18 20122
19 20172
20 20121

About Daniel G. Trabada

Daniel G. Trabada is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology and Electronic, Optical and Magnetic Materials, having authored 20 papers that have together received 523 indexed citations. Recurring topics across this work include Surface and Thin Film Phenomena (6 papers), Magnetic properties of thin films (6 papers), Anodic Oxide Films and Nanostructures (5 papers), Semiconductor materials and devices (5 papers), Silicon Carbide Semiconductor Technologies (3 papers), ZnO doping and properties (3 papers), Semiconductor materials and interfaces (2 papers) and Chemical and Physical Properties of Materials (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (305 citations), Materials Chemistry (335 citations), Structural Biology (8 citations), Electronic, Optical and Magnetic Materials (80 citations) and Electrical and Electronic Engineering (187 citations). Daniel G. Trabada has collaborated with scholars based in Spain, United States and France. Frequent co-authors include M. Vázquez, José Ortega, L. Vivas, Yurii P. Ivanov, O. Chubykalo‐Fesenko, John K. Tomfohr, D. A. Drabold, James P. Lewis, Alexander A. Demkov and G. B. Adams. Their work appears in journals such as Physical Review Letters, Journal of Physics Condensed Matter, Nanotechnology, IEEE Transactions on Magnetics and Applied Physics 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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