Peter C. Hauser

12.5k total citations
302 papers, 10.1k citations indexed

About

Peter C. Hauser is a scholar working on Biomedical Engineering, Bioengineering and Electrical and Electronic Engineering. According to data from OpenAlex, Peter C. Hauser has authored 302 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Biomedical Engineering, 120 papers in Bioengineering and 78 papers in Electrical and Electronic Engineering. Recurrent topics in Peter C. Hauser's work include Microfluidic and Capillary Electrophoresis Applications (140 papers), Analytical Chemistry and Sensors (120 papers) and Electrochemical Analysis and Applications (62 papers). Peter C. Hauser is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (140 papers), Analytical Chemistry and Sensors (120 papers) and Electrochemical Analysis and Applications (62 papers). Peter C. Hauser collaborates with scholars based in Switzerland, Germany and Vietnam. Peter C. Hauser's co-authors include Pavel Kubáň, Jatisai Tanyanyiwa, Thanh Duc, Maria Schwarz, Thomas Kappes, Hong Heng See, Patrick Jacquinot, Jorge Sáiz, Beat Müller and Eva M. Abad‐Villar and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Peter C. Hauser

302 papers receiving 9.8k citations

Peers

Peter C. Hauser
Comparison fields: 5 of 170
  • Biomedical Engineering 6.5k
  • Bioengineering 3.2k
  • Electrical and Electronic Engineering 2.7k
  • Spectroscopy 1.8k
  • Electrochemistry 1.5k
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Citations per field, relative to Peter C. Hauser
Peter C. Hauser · 1×
Citations per year, relative to Peter C. Hauser
Peter C. Hauser · 1×

Countries citing papers authored by Peter C. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter C. Hauser. 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 Peter C. Hauser. The network helps show where Peter C. Hauser may publish in the future.

Co-authorship network of co-authors of Peter C. Hauser

This figure shows the co-authorship network connecting the top 25 collaborators of Peter C. Hauser. A scholar is included among the top collaborators of Peter C. Hauser based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter C. Hauser. Peter C. Hauser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 3
4 18
5 23
6 39
7 11
8 17
9 40
10 30
11 34
12 42
13 41
14 27
15 30
16 25
17 40
18
Composition of the Innermost Supernova Ejecta
1
19 215
20
High Precision Spectroscopy of Pionic and Muonic X-Rays to Extract an Upper Limit for the Muon--Neutrino Mass
1

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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