André Stauffer

1.8k total citations
57 papers, 814 citations indexed

About

André Stauffer is a scholar working on Mechanical Engineering, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, André Stauffer has authored 57 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanical Engineering, 32 papers in Computational Theory and Mathematics and 24 papers in Molecular Biology. Recurrent topics in André Stauffer's work include Modular Robots and Swarm Intelligence (36 papers), Cellular Automata and Applications (30 papers) and DNA and Biological Computing (24 papers). André Stauffer is often cited by papers focused on Modular Robots and Swarm Intelligence (36 papers), Cellular Automata and Applications (30 papers) and DNA and Biological Computing (24 papers). André Stauffer collaborates with scholars based in Switzerland, United Kingdom and Israel. André Stauffer's co-authors include Daniel Mange, Gianluca Tempesti, Moshe Sipper, Eduardo García Sánchez, Andrés Pérez-Uribe, Marco Tomassini, Christian Piguet, Christof Teuscher, Pierre Marchal and Joël S. Rossier and has published in prestigious journals such as Proceedings of the IEEE, IEEE Journal of Solid-State Circuits and IEEE Transactions on Evolutionary Computation.

In The Last Decade

André Stauffer

54 papers receiving 751 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
André Stauffer Switzerland 16 438 313 311 281 201 57 814
Daniel Mange Switzerland 16 465 1.1× 325 1.0× 338 1.1× 306 1.1× 167 0.8× 59 816
Gianluca Tempesti Switzerland 16 398 0.9× 265 0.8× 321 1.0× 282 1.0× 187 0.9× 66 760
Julian F. Miller United Kingdom 17 869 2.0× 182 0.6× 63 0.2× 259 0.9× 283 1.4× 44 1.1k
R. Zebulum United States 17 843 1.9× 231 0.7× 55 0.2× 141 0.5× 469 2.3× 63 1.1k
Takashi Yokomori Japan 13 310 0.7× 400 1.3× 395 1.3× 1.0k 3.7× 167 0.8× 63 1.3k
James Bornholt United States 18 356 0.8× 164 0.5× 90 0.3× 321 1.1× 147 0.7× 36 918
Masaya Iwata Japan 12 345 0.8× 74 0.2× 41 0.1× 71 0.3× 123 0.6× 51 577
Tingfang Wu China 16 76 0.2× 179 0.6× 250 0.8× 723 2.6× 266 1.3× 55 828
Andrés Upegui Switzerland 10 150 0.3× 35 0.1× 97 0.3× 35 0.1× 137 0.7× 35 340
Alberto Leporati Italy 15 162 0.4× 293 0.9× 265 0.9× 635 2.3× 133 0.7× 81 792

Countries citing papers authored by André Stauffer

Since Specialization
Citations

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

Fields of papers citing papers by André Stauffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Stauffer

This figure shows the co-authorship network connecting the top 25 collaborators of André Stauffer. A scholar is included among the top collaborators of André Stauffer 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 André Stauffer. André Stauffer 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
1.
Stauffer, André & Joël S. Rossier. (2009). SELF-ORGANIZING DSP CIRCUITS. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 197–203. 1 indexed citations
2.
Stauffer, André, Daniel Mange, Joël S. Rossier, & Fabien Vannel. (2008). Bio-inspired self-organizing cellular systems. Biosystems. 94(1-2). 164–169. 6 indexed citations
3.
Tempesti, Gianluca, et al.. (2007). Self-replicating hardware for reliability. ACM Journal on Emerging Technologies in Computing Systems. 3(2). 9–9. 12 indexed citations
4.
Stauffer, André, et al.. (2007). Design of Self-organizing Bio-inspired Systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 413–419. 15 indexed citations
5.
Arneodo, Joel D., et al.. (2005). Identification of two phytoplasmas detected in China-trees with decline symptoms in Paraguay. Australasian Plant Pathology. 34(4). 583–583. 10 indexed citations
6.
Mange, Daniel, et al.. (2004). Artificial cell division. Biosystems. 76(1-3). 157–167. 17 indexed citations
7.
Stauffer, André, et al.. (2004). Self-replication of 3D universal structures. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 283–287. 2 indexed citations
8.
Mange, Daniel, et al.. (2004). Self-replicating loop with universal construction. Physica D Nonlinear Phenomena. 191(1-2). 178–192. 31 indexed citations
9.
Teuscher, Christof, Daniel Mange, André Stauffer, & Gianluca Tempesti. (2003). Bio-inspired computing tissues: towards machines that evolve, grow, and learn. Biosystems. 68(2-3). 235–244. 23 indexed citations
10.
Tempesti, Gianluca, et al.. (2003). Developmental processes in silicon: an engineering perspective. ArODES (HES-SO (https://www.hes-so.ch/)). 255–264. 13 indexed citations
11.
Prodan, Lucian, Gianluca Tempesti, Daniel Mange, & André Stauffer. (2002). Embryonics: Electronic Stem Cells. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 101–105. 9 indexed citations
12.
Stauffer, André & Moshe Sipper. (1998). On the relationship between cellular automata and L-systems: The self-replication case. Physica D Nonlinear Phenomena. 116(1-2). 71–80. 10 indexed citations
13.
Mange, Daniel, Eduardo García Sánchez, André Stauffer, et al.. (1998). Embryonics: a new methodology for designing field-programmable gate arrays with self-repair and self-replicating properties. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 6(3). 387–399. 60 indexed citations
14.
Mange, Daniel, André Stauffer, & Gianluca Tempesti. (1997). Self-replicating and Self-repairing Field-Programmable Processor Arrays (FPPAs) with Universal Construction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 13–18. 2 indexed citations
15.
Mange, Daniel, et al.. (1997). Von Neumann revisited: A turing machine with self-repair and self-reproduction properties. Robotics and Autonomous Systems. 22(1). 35–58. 26 indexed citations
16.
Sánchez, Eduardo García, Daniel Mange, Moshe Sipper, et al.. (1997). Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 35–54. 2 indexed citations
17.
Sipper, Moshe, Daniel Mange, & André Stauffer. (1997). Ontogenetic hardware. Biosystems. 44(3). 193–207. 6 indexed citations
18.
Mange, Daniel, André Stauffer, Pierre Marchal, & Christian Piguet. (1994). Embryonics: Designing Programmable Circuits with Biological-like Properties.. Applied Informatics. 314–317. 2 indexed citations
19.
Piguet, Christian, et al.. (1984). A metal-oriented layout structure for CMOS logic. IEEE Journal of Solid-State Circuits. 19(3). 425–436. 19 indexed citations
20.
Stauffer, André, et al.. (1983). Basic Design Methods for CMOS Logic Circuits with Ordered Layout. European Solid-State Circuits Conference. 171–174. 3 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.

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