U. Gläser

572 citations
23 papers · 431 indexed · h-index 9

Impact in

  • Biophysics top 1%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Bacterial Identification and Susceptibility Testing

Papers in

U. Gläser

20 papers receiving 424 citations

Peers

U. Gläser
Comparison fields: 5 of 63
  • Biophysics 220
  • Clinical Biochemistry 128
  • Hardware and Architecture 81
  • Analytical Chemistry 83
  • Biomedical Engineering 178
Replace Johanna Kirchhoff with:
Johanna Kirchhoff Germany
Nicoletta Nicolaou United Kingdom
Lena Blackmon United States
Oleg Ryabchykov Germany
Saqib Ali Pakistan
Angela Walter Germany
Susann Meisel Germany
Huisung Kim United States
Fatma Uysal Ciloglu Türkiye
U. Gläser relative to Johanna Kirchhoff Germany Johanna Kirchhoff's profile →
Citations per field
00.5×3.3×
Johanna Kirchhoff · 1×
Citations per year

Countries citing papers authored by U. Gläser

Since Specialization
Citations

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

Fields of papers citing papers by U. Gläser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by U. Gläser. 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 U. Gläser. The network helps show where U. Gläser may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201398
2 201763
3 201557
4 200247
5 201737
6 201532
7 201630
8 201619
9 19959
10 20206
11 19945
12 19955
13 19965
14 19995
15 20024
16 20033
17 20122
18 20022
19 20051
20 20021

About U. Gläser

U. Gläser is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Biophysics, Clinical Biochemistry and Biomedical Engineering, having authored 23 papers that have together received 431 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (13 papers), VLSI and Analog Circuit Testing (13 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), Radiation Effects in Electronics (5 papers), VLSI and FPGA Design Techniques (4 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Low-power high-performance VLSI design (2 papers). The work is most often cited by research in Biophysics (220 citations), Clinical Biochemistry (128 citations), Hardware and Architecture (81 citations), Analytical Chemistry (83 citations) and Biomedical Engineering (178 citations). U. Gläser has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Ute Neugebauer, Jürgen Popp, H.T. Vierhaus, W. Pfister, Uwe Hübner, Wolfgang Fritzsche, Johanna Kirchhoff, Michael Bauer, Anuradha Ramoji and Jürgen A. Bohnert. Their work appears in journals such as Scientific Reports, Analytical Chemistry, Journal of Biophotonics, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Biomicrofluidics.

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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