Marcell Stippinger
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
-
- Hearing Loss and Rehabilitation
- Neural dynamics and brain function
Papers in
-
- Fractal and DNA sequence analysis 2
- Gene Regulatory Network Analysis 2
-
- Complex Network Analysis Techniques 3
- Opinion Dynamics and Social Influence 3
- Chaos control and synchronization 2
- Co-authors
- János Kertész (3 shared papers)J. O. Vasseur (1 shared paper)Anne-Christine Hladky (1 shared paper)Bahram Djafari‐Rouhani (1 shared paper)J.F. Robillard (1 shared paper)Olivier Bou Matar (1 shared paper)Pierre A. Deymier (1 shared paper)B. Kahng (1 shared paper)
- Journals
- Chaos Solitons & Fractals (2 papers)Physical review. E (2 papers)Physica A Statistical Mechanics and its Applications (1 paper)SoftwareX (1 paper)Machine Learning Science and Technology (1 paper)
- Partner nations
- HungaryGermanySouth Korea
In The Last Decade
Marcell Stippinger
12 papers receiving 341 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 92
- Cognitive Neuroscience 87
- Biomedical Engineering 174
- Speech and Hearing 22
- Mechanics of Materials 58
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-authors
The 18 scholars most cited alongside Marcell Stippinger, 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 | 2009 | 187 | |
| 2 | 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 | 2012 | 39 |
| 3 | 2014 | 38 | |
| 4 | 2016 | 34 | |
| 5 | 2019 | 32 | |
| 6 | 2018 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 0 |
About Marcell Stippinger
Marcell Stippinger is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Signal Processing, having authored 13 papers that have together received 350 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Opinion Dynamics and Social Influence (3 papers), Bayesian Modeling and Causal Inference (2 papers), Neural dynamics and brain function (2 papers), Fractal and DNA sequence analysis (2 papers), Chaos control and synchronization (2 papers), Gene Regulatory Network Analysis (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (92 citations), Cognitive Neuroscience (87 citations), Biomedical Engineering (174 citations), Speech and Hearing (22 citations) and Mechanics of Materials (58 citations). Marcell Stippinger has collaborated with scholars based in Hungary, Germany and South Korea. Frequent co-authors include János Kertész, J. O. Vasseur, Anne-Christine Hladky, Bahram Djafari‐Rouhani, J.F. Robillard, Olivier Bou Matar, Pierre A. Deymier, B. Kahng, Johanna Klon-Lipok and Andreea Lazăr. Their work appears in journals such as Chaos Solitons & Fractals, Physical review. E, Physica A Statistical Mechanics and its Applications, SoftwareX and Machine Learning Science and Technology.
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.