Klaus‐Peter Zauner

103 total papers · 964 total citations
50 papers, 529 citations indexed

About

Klaus‐Peter Zauner is a scholar working on Biomedical Engineering, Molecular Biology and Mechanical Engineering. According to data from OpenAlex, Klaus‐Peter Zauner has authored 50 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 14 papers in Molecular Biology and 11 papers in Mechanical Engineering. Recurrent topics in Klaus‐Peter Zauner's work include Modular Robots and Swarm Intelligence (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Klaus‐Peter Zauner is often cited by papers focused on Modular Robots and Swarm Intelligence (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (10 papers) and Microfluidic and Capillary Electrophoresis Applications (6 papers). Klaus‐Peter Zauner collaborates with scholars based in United Kingdom, United States and Malaysia. Klaus‐Peter Zauner's co-authors include Michael Conrad, Hywel Morgan, Soichiro Tsuda, Maurits R.R. de Planque, Simon Miles, Gareth Jones, Luc Moreau, Paul Groth, Danesh Tarapore and Roderich Groß and has published in prestigious journals such as Biosensors and Bioelectronics, Lab on a Chip and Biotechnology Progress.

In The Last Decade

Klaus‐Peter Zauner

48 papers receiving 504 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Klaus‐Peter Zauner	203	157	126	117	78	50	529
Yihan Lin	74 0.4×	347 2.2×	66 0.5×	48 0.4×	5 0.1×	38	570
Xiaohui Duan	49 0.2×	62 0.4×	157 1.2×	75 0.6×	10 0.1×	54	498
Jiahui Wen	153 0.8×	90 0.6×	128 1.0×	62 0.5×	3 0.0×	35	521
Matthias Becker	129 0.6×	159 1.0×	14 0.1×	34 0.3×	8 0.1×	63	490
Le Yan	163 0.8×	85 0.5×	78 0.6×	16 0.1×	3 0.0×	37	573
Karolj Skala	22 0.1×	57 0.4×	50 0.4×	164 1.4×	16 0.2×	69	450
Le Guan	120 0.6×	84 0.5×	6 0.0×	256 2.2×	31 0.4×	39	617
Shujia Zhou	18 0.1×	33 0.2×	40 0.3×	202 1.7×	57 0.7×	43	552
Jonathan Grizou	143 0.7×	52 0.3×	51 0.4×	5 0.0×	16 0.2×	17	490
Hanyu Li	106 0.5×	185 1.2×	146 1.2×	19 0.2×	3 0.0×	45	544

Countries citing papers authored by Klaus‐Peter Zauner

Since Specialization

Citations

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

Fields of papers citing papers by Klaus‐Peter Zauner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus‐Peter Zauner. 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 Klaus‐Peter Zauner. The network helps show where Klaus‐Peter Zauner may publish in the future.

Co-authorship network of co-authors of Klaus‐Peter Zauner

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus‐Peter Zauner. A scholar is included among the top collaborators of Klaus‐Peter Zauner 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 Klaus‐Peter Zauner. Klaus‐Peter Zauner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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