This map shows the geographic impact of M. Hölzl'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. Hölzl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Hölzl more than expected).
This network shows the impact of papers produced by M. Hölzl. 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. Hölzl. The network helps show where M. Hölzl may publish in the future.
Co-authorship network of co-authors of M. Hölzl
This figure shows the co-authorship network connecting the top 25 collaborators of M. Hölzl.
A scholar is included among the top collaborators of M. Hölzl 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 M. Hölzl. M. Hölzl is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hölzl, M., G. T. A. Huijsmans, F. Orain, et al.. (2018). Simulating tokamak edge instabilities: advances and challenges. Max Planck Digital Library.1 indexed citations
4.
Smith, S., S. Pamela, A. Thornton, et al.. (2018). Numerical simulations of edge localised modes in MAST-U plasmas. TU/e Research Portal. 1148–1151.1 indexed citations
5.
Orain, F., M. Hölzl, F. Mink, et al.. (2017). Modeling edge MHD instabilities and their interaction with magnetic perturbations in ASDEX Upgrade. TU/e Research Portal.
6.
Bandaru, V., et al.. (2017). Implementation of a model for the non-linear interaction between runaway electrons and background plasma. MPG.PuRe (Max Planck Society).
7.
Sommariva, C., E. Nardon, A. Fil, et al.. (2016). Simulating runaway electrons during disruptions with test particles in the JOREK code. TU/e Research Portal.1 indexed citations
8.
Sommariva, C., E. Nardon, G. T. A. Huijsmans, et al.. (2016). Modeling Runaway Electron dynamics in realistic fields from 3D non-linear MHD disruption simulations. Max Planck Digital Library.
9.
Futatani, S., G. T. A. Huijsmans, A. Loarte, et al.. (2016). Nonlinear MHD Simulations of Pellet Triggered ELMs. MPG.PuRe (Max Planck Society).1 indexed citations
Fil, A., E. Nardon, M. Hölzl, et al.. (2015). Modeling of disruption mitigation by massive gas injection in JET with JOREK and IMAGINE. MPG.PuRe (Max Planck Society).1 indexed citations
Orain, F., M. Bécoulet, M. Hölzl, et al.. (2014). Non-linear MHD modeling of multi-ELM cycles and mitigation by RMPs. Max Planck Digital Library.1 indexed citations
Hölzl, M., Wolf‐Christian Müller, G. T. A. Huysmans, et al.. (2011). Reduced-MHD Simulations of Edge Localized Modes in ASDEX Upgrade. Max Planck Institute for Plasma Physics.
17.
Hölzl, M., et al.. (2009). Which Soft Constraints do you Prefer?. Electronic Notes in Theoretical Computer Science. 238(3). 189–205.4 indexed citations
Strumberger, E. & M. Hölzl. (2005). User Manual: Iterative Computation of 3D Ideal MHD Equilibria and Magnetic Fields. MPG.PuRe (Max Planck Society).
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.