M.‐Th. Hütt
Impact in
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- Complex Network Analysis Techniques
- Complex Systems and Dynamics
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- Scheduling and Optimization Algorithms
Papers in
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- Complex Network Analysis Techniques 32
- Complex Systems and Dynamics 12
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- Nonlinear Dynamics and Pattern Formation 31
- Co-authors
- Claus Christian Hilgetag (16 shared papers)Carsten Marr (10 shared papers)Mark Müller‐Linow (5 shared papers)Ulrich E. Lüttge (13 shared papers)Georgi Muskhelishvili (5 shared papers)Yılmaz Uygun (10 shared papers)Annick Lesne (15 shared papers)Marcel Geertz (2 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (9 papers)PLoS Computational Biology (8 papers)Scientific Reports (6 papers)Nuclear Physics A (6 papers)BMC Systems Biology (5 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
M.‐Th. Hütt
165 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 159
- Statistical and Nonlinear Physics 483
- Industrial and Manufacturing Engineering 182
- Computer Networks and Communications 317
- Cognitive Neuroscience 258
- Molecular Biology 626
Countries citing papers authored by M.‐Th. Hütt
This map shows the geographic impact of M.‐Th. Hütt'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 M.‐Th. Hütt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.‐Th. Hütt more than expected).
Fields of papers citing papers by M.‐Th. Hütt
This network shows the impact of papers produced by M.‐Th. Hütt. 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 M.‐Th. Hütt. The network helps show where M.‐Th. Hütt may publish in the future.
Co-authors
The 25 scholars most cited alongside M.‐Th. Hütt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 131 | |
| 2 | 2008 | 115 | |
| 3 | 2001 | 109 | |
| 4 | 2008 | 80 | |
| 5 | 2016 | 72 | |
| 6 | 2020 | 67 | |
| 7 | 2013 | 63 | |
| 8 | 2017 | 63 | |
| 9 | 2018 | 56 | |
| 10 | 2011 | 53 | |
| 11 | 2017 | 53 | |
| 12 | 2015 | 47 | |
| 13 | 2013 | 43 | |
| 14 | 2007 | 39 | |
| 15 | 2014 | 39 | |
| 16 | 2003 | 37 | |
| 17 | 2012 | 37 | |
| 18 | 2021 | 37 | |
| 19 | 2005 | 36 | |
| 20 | 2011 | 36 |
About M.‐Th. Hütt
M.‐Th. Hütt is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Industrial and Manufacturing Engineering and Cognitive Neuroscience, having authored 176 papers that have together received 2.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (32 papers), Nonlinear Dynamics and Pattern Formation (31 papers), Gene Regulatory Network Analysis (25 papers), Complex Systems and Dynamics (12 papers), Scheduling and Optimization Algorithms (12 papers), Bioinformatics and Genomic Networks (11 papers), Neural dynamics and brain function (11 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (483 citations), Industrial and Manufacturing Engineering (182 citations), Computer Networks and Communications (317 citations), Cognitive Neuroscience (258 citations) and Molecular Biology (626 citations). M.‐Th. Hütt has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Claus Christian Hilgetag, Carsten Marr, Mark Müller‐Linow, Ulrich E. Lüttge, Georgi Muskhelishvili, Yılmaz Uygun, Annick Lesne, Marcel Geertz, Nikolaus Sonnenschein and Arnaud Messé. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, PLoS Computational Biology, Scientific Reports, Nuclear Physics A and BMC Systems Biology.
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.