Daniel Minder

600 total citations
20 papers, 283 citations indexed

About

Daniel Minder is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Daniel Minder has authored 20 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Mechanical Engineering. Recurrent topics in Daniel Minder's work include Energy Efficient Wireless Sensor Networks (15 papers), Context-Aware Activity Recognition Systems (9 papers) and Modular Robots and Swarm Intelligence (7 papers). Daniel Minder is often cited by papers focused on Energy Efficient Wireless Sensor Networks (15 papers), Context-Aware Activity Recognition Systems (9 papers) and Modular Robots and Swarm Intelligence (7 papers). Daniel Minder collaborates with scholars based in Germany. Daniel Minder's co-authors include Pedro José Marrón, Andreas Lachenmann, Kurt Rothermel, Jörg Hähner, Matthias Gauger, Robert Sauter, Olga Saukh, Arno Wacker, Stamatis Karnouskos and A. Grau and has published in prestigious journals such as ACM SIGOPS Operating Systems Review, International Journal of Network Management and it - Information Technology.

In The Last Decade

Daniel Minder

20 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Minder Germany 8 252 111 79 49 18 20 283
Andreas Lachenmann Germany 9 251 1.0× 109 1.0× 110 1.4× 49 1.0× 17 0.9× 16 318
Matthias Ringwald Switzerland 11 246 1.0× 91 0.8× 64 0.8× 36 0.7× 21 1.2× 21 279
Oliver Kasten Switzerland 7 291 1.2× 77 0.7× 108 1.4× 39 0.8× 17 0.9× 10 332
José M. Mata Brazil 5 216 0.9× 152 1.4× 43 0.5× 18 0.4× 14 0.8× 8 308
Chien-Chung Shen United States 5 441 1.8× 164 1.5× 75 0.9× 28 0.6× 12 0.7× 10 463
Neal Jackson United States 6 191 0.8× 153 1.4× 60 0.8× 29 0.6× 8 0.4× 13 273
Rym Chéour Tunisia 12 152 0.6× 160 1.4× 22 0.3× 25 0.5× 27 1.5× 18 257
Hamed Yousefi Iran 13 399 1.6× 256 2.3× 39 0.5× 15 0.3× 10 0.6× 33 510
Walter Colitti Belgium 8 304 1.2× 146 1.3× 92 1.2× 12 0.2× 12 0.7× 19 369
Ashish Kumar Sultania Belgium 10 121 0.5× 204 1.8× 50 0.6× 19 0.4× 5 0.3× 17 295

Countries citing papers authored by Daniel Minder

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Minder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Minder

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Minder. A scholar is included among the top collaborators of Daniel Minder 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 Daniel Minder. Daniel Minder 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.
Marrón, Pedro José, Daniel Minder, & Stamatis Karnouskos. (2012). The Emerging Domain of Cooperating Objects. Springer briefs in electrical and computer engineering. 5 indexed citations
2.
Minder, Daniel, et al.. (2012). The Emerging Domain of Cooperating Objects: Definitions and Concepts. 3 indexed citations
3.
Minder, Daniel, Marcus Handte, & Pedro José Marrón. (2010). TinyAdapt: An adaptation framework for sensor networks. 47. 253–256. 1 indexed citations
4.
Marrón, Pedro José & Daniel Minder. (2009). European Research on Cooperating Objects. 1–3. 2 indexed citations
5.
Gauger, Matthias, Pedro José Marrón, Marcus Handte, et al.. (2008). Integrating sensor networks in pervasive computing environments using symbolic coordinates. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 564–573. 3 indexed citations
6.
Gauger, Matthias, Daniel Minder, Pedro José Marrón, Arno Wacker, & Andreas Lachenmann. (2008). Prototyping sensor-actuator networks for home automation. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 56–60. 21 indexed citations
7.
Minder, Daniel, Pedro José Marrón, Andreas Lachenmann, & Kurt Rothermel. (2007). Coordinated group adaptation in sensor networks. Fachbereich Informatik (University of Stuttgart). 2 indexed citations
8.
Minder, Daniel, et al.. (2007). On group formation for self-adaptation in pervasive systems. 16. 2 indexed citations
9.
Lachenmann, Andreas, Pedro José Marrón, Matthias Gauger, et al.. (2007). Removing the memory limitations of sensor networks with flash-based virtual memory. ACM SIGOPS Operating Systems Review. 41(3). 131–144. 6 indexed citations
10.
Lachenmann, Andreas, Pedro José Marrón, Matthias Gauger, et al.. (2007). Removing the memory limitations of sensor networks with flash-based virtual memory. Fachbereich Informatik (University of Stuttgart). 131–144. 10 indexed citations
11.
Lachenmann, Andreas, Pedro José Marrón, Daniel Minder, & Kurt Rothermel. (2007). Meeting lifetime goals with energy levels. Fachbereich Informatik (University of Stuttgart). 131–144. 55 indexed citations
12.
Minder, Daniel, A. Grau, & Pedro José Marrón. (2007). On group formation for self-adaptation in pervasive systems. 2 indexed citations
13.
Lachenmann, Andreas, Pedro José Marrón, Daniel Minder, et al.. (2006). TinyXXL: Language and Runtime Support for Cross-Layer Interactions. Fachbereich Informatik (University of Stuttgart). 7. 178–187. 5 indexed citations
14.
Marrón, Pedro José, Daniel Minder, Andreas Lachenmann, & Kurt Rothermel. (2005). TinyCubus: An Adaptive Cross-Layer Framework for Sensor Networks. Information technology newsletter. 47. 22 indexed citations
15.
Marrón, Pedro José, Andreas Lachenmann, Daniel Minder, et al.. (2005). Management and configuration issues for sensor networks. International Journal of Network Management. 15(4). 235–253. 29 indexed citations
16.
Lachenmann, Andreas, Pedro José Marrón, Daniel Minder, & Kurt Rothermel. (2005). An Analysis of Cross-Layer Interactions in Sensor Network Applications. Fachbereich Informatik (University of Stuttgart). 121–126. 7 indexed citations
17.
Marrón, Pedro José, Daniel Minder, Andreas Lachenmann, & Kurt Rothermel. (2005). TinyCubus: An Adaptive Cross-Layer Framework for Sensor Networks (TinyCubus: Ein Adaptives Cross-Layer Framework für Sensornetze). it - Information Technology. 47(2). 87–97. 18 indexed citations
18.
Minder, Daniel, Pedro José Marrón, Andreas Lachenmann, & Kurt Rothermel. (2005). Experimental construction of a meeting model for smart office environments. 12 indexed citations
19.
Marrón, Pedro José, Andreas Lachenmann, Daniel Minder, et al.. (2005). Adaptation and Cross-Layer Issues in Sensor Networks. MADOC (University of Mannheim). 2. 623–628. 7 indexed citations
20.
Marrón, Pedro José, Andreas Lachenmann, Daniel Minder, et al.. (2005). Tinycubus: a flexible and adaptive framework for sensor networks. Fachbereich Informatik (University of Stuttgart). 278–289. 71 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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