Ingo Scholtes
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
-
- scientometrics and bibliometrics research
Papers in
-
- Peer-to-Peer Network Technologies 18
- Caching and Content Delivery 13
- Distributed and Parallel Computing Systems 11
-
- Complex Network Analysis Techniques 24
- Opinion Dynamics and Social Influence 10
- Co-authors
- Frank Schweitzer (19 shared papers)Renaud Lambiotte (1 shared paper)Martin Rosvall (1 shared paper)Antonios Garas (6 shared papers)Claudio J. Tessone (11 shared papers)René Pfitzner (5 shared papers)Marcelo Serrano Zanetti (6 shared papers)Jean Botev (19 shared papers)
- Journals
- Advances in Complex Systems (4 papers)EPJ Data Science (2 papers)Physical review. E (1 paper)IEEE Technology and Society Magazine (1 paper)Physical Review Letters (1 paper)
- Partner nations
- GermanySwitzerlandLuxembourg
In The Last Decade
Ingo Scholtes
66 papers receiving 1.2k citations
Ingo Scholtes's Hit Papers
Peers
Comparison fields: 5 of 109
- Statistical and Nonlinear Physics 576
- Statistics, Probability and Uncertainty 112
- Computer Science Applications 81
- Software 53
- Computer Networks and Communications 275
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-authors
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
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | From networks to optimal higher-order models of complex systems Hit paper breakdown → | 2019 | 293 |
| 2 | 2014 | 182 | |
| 3 | 2014 | 111 | |
| 4 | 2013 | 85 | |
| 5 | 2013 | 71 | |
| 6 | 2016 | 50 | |
| 7 | 2015 | 43 | |
| 8 | 2008 | 41 | |
| 9 | 2017 | 40 | |
| 10 | 2017 | 26 | |
| 11 | Engineering and Mastering Interwoven Systems | 2014 | 25 |
| 12 | 2013 | 20 | |
| 13 | 2017 | 18 | |
| 14 | 2014 | 15 | |
| 15 | 2008 | 13 | |
| 16 | 2021 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2008 | 10 | |
| 19 | Categorizing Bugs with Social Networks: A Case Study on Four Open Source Software Communities. | 2014 | 9 |
| 20 | 2022 | 8 |
About Ingo Scholtes
Ingo Scholtes is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Information Systems, Artificial Intelligence and Computer Science Applications, 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 Mental Health Research Topics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (576 citations), Statistics, Probability and Uncertainty (112 citations), Computer Science Applications (81 citations), Software (53 citations) and Computer Networks and Communications (275 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, Physical review. E, IEEE Technology and Society Magazine and Physical Review Letters.
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.