Ingo Scholtes
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- scientometrics and bibliometrics research
Papers in
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- Complex Network Analysis Techniques 24
- Opinion Dynamics and Social Influence 10
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- Open Source Software Innovations 7
- Co-authors
- Frank SchweitzerRenaud LambiotteMartin RosvallAntonios GarasClaudio J. TessoneRené PfitznerMarcelo Serrano ZanettiJean Botev
- Journals
- Advances in Complex Systems (4 papers)EPJ Data Science (2 papers)Nature Communications (1 paper)Applied Network Science (1 paper)IEEE Transactions on Network Science and Engineering (1 paper)
- Partner nations
- GermanySwitzerlandLuxembourg
In The Last Decade
Ingo Scholtes
64 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Statistical and Nonlinear Physics 569
- Statistics, Probability and Uncertainty 110
- Computer Science Applications 80
- Software 53
- Computer Networks and Communications 274
Countries citing papers authored by Ingo Scholtes
This map shows the geographic impact of Ingo Scholtes'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 Ingo Scholtes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Scholtes more than expected).
Fields of papers citing papers by Ingo Scholtes
This network shows the impact of papers produced by Ingo Scholtes. 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 Ingo Scholtes. The network helps show where Ingo Scholtes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ingo Scholtes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 3 | |
| 8 | From networks to optimal higher-order models of complex systems Hit paper breakdown → | 2019 | 280 |
| 9 | 2019 | 1 | |
| 10 | 2017 | 17 | |
| 11 | 2017 | 38 | |
| 12 | Automated Software Remodularization Based on Move Refactoring - A Complex Systems Approach. | 2015 | 1 |
| 13 | Engineering and Mastering Interwoven Systems | 2014 | 25 |
| 14 | 2014 | 180 | |
| 15 | Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks. | 2013 | 7 |
| 16 | Resilience in Enterprise Social Networks. | 2013 | 1 |
| 17 | 2008 | 5 | |
| 18 | 2008 | 7 | |
| 19 | 2006 | 1 | |
| 20 | A Reimplementation of the CORBA-based Event Monitoring System For the ATLAS LHC Experiment at CERN | 2005 | 2 |
About Ingo Scholtes
Ingo Scholtes is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications, Computer Networks and Communications, Information Systems and Signal Processing, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (24 papers), Peer-to-Peer Network Technologies (18 papers), Caching and Content Delivery (13 papers), Software Engineering Research (11 papers), Distributed and Parallel Computing Systems (11 papers), Opinion Dynamics and Social Influence (10 papers), Open Source Software Innovations (7 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (569 citations), Statistics, Probability and Uncertainty (110 citations), Computer Science Applications (80 citations), Software (53 citations) and Computer Networks and Communications (274 citations). Ingo Scholtes has collaborated with scholars based in Germany, Switzerland and Luxembourg. Frequent co-authors include Frank Schweitzer, Renaud Lambiotte, Martin Rosvall, Antonios Garas, Claudio J. Tessone, René Pfitzner, Marcelo Serrano Zanetti, Jean Botev, Pavlin Mavrodiev and Peter Sturm. Their work appears in journals such as Advances in Complex Systems, EPJ Data Science, Nature Communications, Applied Network Science and IEEE Transactions on Network Science and Engineering.
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.