Daniel Mange

2.0k citations
61 papers · 846 · h-index 16

Impact in

Papers in

Daniel Mange

57 papers receiving 788 citations

Peers

Daniel Mange
Comparison fields: 5 of 57
  • Computational Theory and Mathematics 330
  • Artificial Intelligence 488
  • Hardware and Architecture 99
  • Mechanical Engineering 339
  • Molecular Biology 308
Replace André Stauffer with:
André Stauffer Switzerland
Gianluca Tempesti Switzerland
Julian F. Miller United Kingdom
James Bornholt United States
Takashi Yokomori Japan
R. Zebulum United States
Alberto Leporati Italy
Itsuo Takanami Japan
Weng-Long Chang Taiwan
Abraham Waksman United States
Daniel Mange relative to André Stauffer Switzerland André Stauffer's profile →
Citations per field
00.5×1.5×
André Stauffer · 1×
Citations per year

Countries citing papers authored by Daniel Mange

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniel Mange, 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 Daniel Mange Line = papers co-authored together Daniel Mange links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997127
2 2000119
3 199860
4
Towards Robust Integrated Circuits: The Embryonics Approach
200047
5 200431
6 199831
7 200028
8 199726
9 199724
10 200223
11 200323
12 200321
13 200417
14 200416
15 200216
16 199915
17 200215
18 200715
19 200715
20 199813

About Daniel Mange

Daniel Mange is a scholar working on Computational Theory and Mathematics, Mechanical Engineering, Molecular Biology, Artificial Intelligence and Hardware and Architecture, having authored 61 papers that have together received 846 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (35 papers), Cellular Automata and Applications (33 papers), DNA and Biological Computing (24 papers), Evolutionary Algorithms and Applications (19 papers), Embedded Systems Design Techniques (6 papers), Advanced Memory and Neural Computing (4 papers), Formal Methods in Verification (4 papers) and Computability, Logic, AI Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (330 citations), Artificial Intelligence (488 citations), Hardware and Architecture (99 citations), Mechanical Engineering (339 citations) and Molecular Biology (308 citations). Daniel Mange has collaborated with scholars based in Switzerland, United Kingdom and France. Frequent co-authors include André Stauffer, Gianluca Tempesti, Moshe Sipper, Eduardo García Sánchez, Andrés Pérez-Uribe, Marco Tomassini, Pierre Marchal, Christof Teuscher, Christian Piguet and Andy M. Tyrrell. Their work appears in journals such as Biosystems, Artificial Life, Proceedings of the IEEE, IEEE Micro and IEEE Transactions on Evolutionary Computation.

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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