Daniel Mange

2.0k citations
96 papers · 1.5k · h-index 22

Impact in

Papers in

Daniel Mange

90 papers receiving 1.5k citations

Peers

Daniel Mange
Comparison fields: 5 of 63
  • Computational Theory and Mathematics 692
  • Artificial Intelligence 881
  • Hardware and Architecture 161
  • Mechanical Engineering 659
  • Molecular Biology 603
Replace Gianluca Tempesti with:
Gianluca Tempesti Switzerland
André Stauffer Switzerland
Julian F. Miller United Kingdom
Max Garzón United States
R. Zebulum United States
Agustín Riscos–Núñez Spain
James Bornholt United States
Alberto Leporati Italy
Mihai Ionescu Spain
Takashi Yokomori Japan
Daniel Mange relative to Gianluca Tempesti Switzerland Gianluca Tempesti's profile →
Citations per field
00.5×1.5×
Gianluca Tempesti · 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 21 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000171
2 1997171
3 199872
4 200368
5
Towards Robust Integrated Circuits: The Embryonics Approach
200068
6 199654
7 199752
8 200048
9 200443
10 199737
11 199736
12 199836
13 200334
14 199728
15 200328
16 200227
17 200426
18 199425
19 199625
20 199822

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 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (62 papers), Cellular Automata and Applications (57 papers), DNA and Biological Computing (43 papers), Evolutionary Algorithms and Applications (30 papers), Embedded Systems Design Techniques (7 papers), Advanced Memory and Neural Computing (7 papers), Computability, Logic, AI Algorithms (6 papers) and Formal Methods in Verification (4 papers). The work is most often cited by research in Computational Theory and Mathematics (692 citations), Artificial Intelligence (881 citations), Hardware and Architecture (161 citations), Mechanical Engineering (659 citations) and Molecular Biology (603 citations). Daniel Mange has collaborated with scholars based in Switzerland, United Kingdom and Romania. 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, Lecture notes in computer science, 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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