Gabriel Puebla‐Hellmann

554 citations
14 papers · 396 · h-index 8

Impact in

Papers in

Gabriel Puebla‐Hellmann

14 papers receiving 384 citations

Peers

Gabriel Puebla‐Hellmann
Comparison fields: 5 of 39
  • Atomic and Molecular Physics, and Optics 250
  • Artificial Intelligence 185
  • Electrical and Electronic Engineering 141
  • Materials Chemistry 80
  • Biomedical Engineering 69
Replace Sven Scholz with:
Sven Scholz Germany
Maja Colautti Italy
Benjamin Wohlfeil Germany
Daniel Assumpção United States
Kyle D. Major United Kingdom
Jan-Hindrik Schulze Germany
Yan Qi Huan United States
David Gevaux United Kingdom
Mathieu Munsch Switzerland
M. Y. Su United States
Gabriel Puebla‐Hellmann relative to Sven Scholz Germany Sven Scholz's profile →
Citations per field
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Sven Scholz · 1×
Citations per year

Countries citing papers authored by Gabriel Puebla‐Hellmann

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Puebla‐Hellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Puebla‐Hellmann. 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 Gabriel Puebla‐Hellmann. The network helps show where Gabriel Puebla‐Hellmann may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013194
2 201882
3 201531
4 202217
5 201417
6 202312
7 202311
8 202011
9 20236
10 20155
11 20194
12 20153
13 20252
14 20161

About Gabriel Puebla‐Hellmann

Gabriel Puebla‐Hellmann is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology, having authored 14 papers that have together received 396 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (5 papers), Molecular Junctions and Nanostructures (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanowire Synthesis and Applications (2 papers), Plasmonic and Surface Plasmon Research (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Quantum and electron transport phenomena (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (250 citations), Artificial Intelligence (185 citations), Electrical and Electronic Engineering (141 citations), Materials Chemistry (80 citations) and Biomedical Engineering (69 citations). Gabriel Puebla‐Hellmann has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Emanuel Lörtscher, Andreas Wallraff, Marcel Mayor, Koushik Venkatesan, C. B. Lang, Philipp Kurpiers, Arkady Fedorov, Christopher Eichler, Matthias Baur and L. Steffen. Their work appears in journals such as Applied Physics Letters, Nature, Nano Letters, Physical Review Applied and Advanced Materials Interfaces.

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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