Gabriel Puebla‐Hellmann

577 citations
14 papers · 409 · h-index 9

Impact in

Papers in

Gabriel Puebla‐Hellmann

14 papers receiving 398 citations

Peers

Gabriel Puebla‐Hellmann
Comparison fields: 5 of 39
  • Atomic and Molecular Physics, and Optics 258
  • Artificial Intelligence 191
  • Electrical and Electronic Engineering 146
  • Materials Chemistry 86
  • Biomedical Engineering 71
Replace Maja Colautti with:
Maja Colautti Italy
Mathieu Munsch Switzerland
Daniel Assumpção United States
Kyle D. Major United Kingdom
Yan Qi Huan United States
S. M. Hendrickson United States
Jan-Hindrik Schulze Germany
M. Y. Su United States
David Gevaux United Kingdom
Shuai Shao China
Gabriel Puebla‐Hellmann relative to Maja Colautti Italy Maja Colautti's profile →
Citations per field
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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 2013201
2 201883
3 201532
4 201418
5 202217
6 202312
7 202011
8 202311
9 20238
10 20155
11 20194
12 20253
13 20153
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 409 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (5 papers), Molecular Junctions and Nanostructures (3 papers), Analytical Chemistry and Sensors (2 papers), Plasmonic and Surface Plasmon Research (2 papers), Nanowire Synthesis and Applications (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Quantum and electron transport phenomena (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (258 citations), Artificial Intelligence (191 citations), Electrical and Electronic Engineering (146 citations), Materials Chemistry (86 citations) and Biomedical Engineering (71 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, Christopher Eichler, Philipp Kurpiers, Arkady Fedorov, Markus Oppliger, Yves Salathé and C. B. Lang. Their work appears in journals such as Nature, Applied Physics Letters, Nano Letters, ACS Nano 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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