Gerd Sulz

503 citations
24 papers · 373 · h-index 11

Impact in

Papers in

Gerd Sulz

24 papers receiving 356 citations

Peers

Gerd Sulz
Comparison fields: 5 of 56
  • Bioengineering 108
  • Electrical and Electronic Engineering 245
  • Biomedical Engineering 181
  • Biophysics 14
  • Surfaces, Coatings and Films 12
Replace Vivek Semwal with:
Vivek Semwal India
Petr Sezemský Czechia
Dariusz Burnat Poland
Yuri M. Shirshov Ukraine
A.V. Samoylov Ukraine
Niteshkumar Agrawal India
Mitsuhiro Iga Japan
Zhi Qiang Tou Singapore
Ossama Assad Israel
G.A. Robinson Italy
Gerd Sulz relative to Vivek Semwal India Vivek Semwal's profile →
Citations per field
00.5×1.5×2.2×
Vivek Semwal · 1×
Citations per year

Countries citing papers authored by Gerd Sulz

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Sulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200894
2 200357
3 199440
4 199725
5 200823
6 199322
7 199520
8 199216
9 200316
10 200914
11 199512
12 20168
13 19847
14 19864
15
Automatic pollen recognition : developments and perspectives
20064
16 20092
17 19862
18 20101
19 20211
20 20201

About Gerd Sulz

Gerd Sulz is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Bioengineering, Molecular Biology and Analytical Chemistry, having authored 24 papers that have together received 373 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (9 papers), Gas Sensing Nanomaterials and Sensors (7 papers), Biosensors and Analytical Detection (6 papers), Advanced Chemical Sensor Technologies (5 papers), Advanced Biosensing Techniques and Applications (4 papers), Photonic and Optical Devices (3 papers), Spectroscopy and Chemometric Analyses (3 papers) and Spectroscopy and Laser Applications (3 papers). The work is most often cited by research in Bioengineering (108 citations), Electrical and Electronic Engineering (245 citations), Biomedical Engineering (181 citations), Biophysics (14 citations) and Surfaces, Coatings and Films (12 citations). Gerd Sulz has collaborated with scholars based in Germany, Austria and China. Frequent co-authors include Katrin Schmitt, Albrecht Brandenburg, Christian Hoffmann, Klaus Steiner, Gerd Kühner, Ulrich Hoefer, Holger Klapproth, Elmar Wagner, M. Lacher and H. Böttner. Their work appears in journals such as Sensors and Actuators B Chemical, Sensors, Analytical Chemistry, Microsystem Technologies and tm - Technisches Messen.

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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