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
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.
Górecka, J., Yasuhiro Igarashi, Konrad Giżyński, et al.. (2011). Droplets with information processing ability. International journal of unconventional computing. 7. 185–200.23 indexed citations
4.
Gruenert, Gerd, Peter Dittrich, & Klaus‐Peter Zauner. (2011). Artificial Wet Neuronal Networks from Compartmentalised Excitable Chemical Media.. ePrints Soton (University of Southampton). 2011. 30–32.11 indexed citations
5.
Lovell, Chris, Gareth Jones, Klaus‐Peter Zauner, & Steve R. Gunn. (2011). Exploration and exploitation with insufficient resources. ePrints Soton (University of Southampton). 37–61.2 indexed citations
6.
Zauner, Klaus‐Peter, et al.. (2009). Nucleic acid enzymes: The fusion of self-assembly and conformational computing. International journal of unconventional computing. 5(2). 165–189.2 indexed citations
English, Stephen, et al.. (2008). Strategies for Maintaining Large Robot Communities. Artificial Life. 763.4 indexed citations
10.
Tsuda, Soichiro, et al.. (2008). Information-Theoretic Aspects of Control in a Bio-Hybrid Robot Device. Artificial Life. 33–40.1 indexed citations
11.
Sun, Tao, Soichiro Tsuda, Nicolas G. Green, Klaus‐Peter Zauner, & Hywel Morgan. (2008). On-chip electrical impedence tomography for monitoring the kinetics in the cell culture.2 indexed citations
12.
Dasmahapatra, Srinandan, Joern M. Werner, & Klaus‐Peter Zauner. (2006). Noise as a Computational Resource. International journal of unconventional computing. 2. 305–319.8 indexed citations
13.
Tsuda, Soichiro, Klaus‐Peter Zauner, & Yukio‐Pegio Gunji. (2006). Computing Substrates and Life. ePrints Soton (University of Southampton).4 indexed citations
Zauner, Klaus‐Peter & Michael Conrad. (1997). Conformation-driven molecular computing: the optical connection. ePrints Soton (University of Southampton).3 indexed citations
19.
Zauner, Klaus‐Peter & Michael Conrad. (1996). Simulating the interplay of structure, kinetics, and dynamics in complex biochemical networks. ePrints Soton (University of Southampton). 336–338.3 indexed citations
20.
Conrad, Michael & Klaus‐Peter Zauner. (1995). Biomaterials for intelligent systems. ePrints Soton (University of Southampton).2 indexed citations
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.