Marcell Stippinger
- Biomedical Engineering
- Statistical and Nonlinear Physics top 10%
- Cognitive Neuroscience
- Mechanics of Materials
- Civil and Structural Engineering
- Co-authors
- János KertészPierre A. DeymierAnne-Christine HladkyOlivier Bou MatarYan PennecBahram Djafari‐RouhaniJ.F. RobillardJ. O. Vasseur
- Topics
- Complex Network Analysis Techniques (3 papers)Opinion Dynamics and Social Influence (3 papers)Neural dynamics and brain function (2 papers)
- Journals
- Proceedings of the National Academy of SciencesApplied Physics LettersPhysica D Nonlinear Phenomena
- Partner nations
- HungarySouth KoreaGermany
In The Last Decade
Marcell Stippinger
12 papers receiving 320 citations
Peers
Comparison fields: 5 of 61
- Biomedical Engineering 166
- Statistical and Nonlinear Physics 85
- Cognitive Neuroscience 82
- Mechanics of Materials 56
- Civil and Structural Engineering 45
Countries citing papers authored by Marcell Stippinger
This map shows the geographic impact of Marcell Stippinger'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 Marcell Stippinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcell Stippinger more than expected).
Fields of papers citing papers by Marcell Stippinger
This network shows the impact of papers produced by Marcell Stippinger. 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 Marcell Stippinger. The network helps show where Marcell Stippinger may publish in the future.
Co-authorship network of co-authors of Marcell Stippinger
This figure shows the co-authorship network connecting the top 25 collaborators of Marcell Stippinger. A scholar is included among the top collaborators of Marcell Stippinger 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 Marcell Stippinger. Marcell Stippinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 5 | |
| 10 | 34 | |
| 11 | 34 | |
| 12 | CDOの価格付けの解析結果、及び加重モンテカルロ・シミュレーション | 37 |
| 13 | 179 |
About Marcell Stippinger
Marcell Stippinger is a scholar working on Statistical and Nonlinear Physics, Signal Processing and History and Philosophy of Science, having authored 13 papers that have together received 333 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (85 citations), Cognitive Neuroscience (82 citations) and Biomedical Engineering (166 citations). Marcell Stippinger has collaborated with scholars based in Hungary, South Korea and Germany. Frequent co-authors include János Kertész, Pierre A. Deymier, Anne-Christine Hladky, Olivier Bou Matar, Yan Pennec, Bahram Djafari‐Rouhani, J.F. Robillard, J. O. Vasseur, Deok‐Sun Lee and B. Kahng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Physica D Nonlinear Phenomena.
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.