Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Introduction to the Theory of (Non-Symmetric) Dirichlet Forms
1992640 citationsZhi-Ming Ma, Michael Röcknerprofile →
A Concise Course on Stochastic Partial Differential Equations
Countries citing papers authored by Michael Röckner
Since
Specialization
Citations
This map shows the geographic impact of Michael Röckner'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 Michael Röckner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Röckner more than expected).
This network shows the impact of papers produced by Michael Röckner. 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 Michael Röckner. The network helps show where Michael Röckner may publish in the future.
Co-authorship network of co-authors of Michael Röckner
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Röckner.
A scholar is included among the top collaborators of Michael Röckner 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 Michael Röckner. Michael Röckner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Богачев, В. И., Н. В. Крылов, Michael Röckner, & С. В. Шапошников. (2015). Fokker–Planck–Kolmogorov Equations. Mathematical surveys and monographs.176 indexed citations
9.
Röckner, Michael, et al.. (2012). Local/global existence and uniqueness of solutions for SPDE with generalized coercivity condition. arXiv (Cornell University).1 indexed citations
10.
Prato, Giuseppe Da, Franco Flandoli, Enrico Priola, & Michael Röckner. (2011). Strong uniqueness for stochastic evolution equations in Hilbert spaces with bounded measurable drift. arXiv (Cornell University).3 indexed citations
Barbu, Viorel, Giuseppe Da Prato, & Michael Röckner. (2008). Some Results on Stochastic Porous Media Equations. Bollettino Della Unione Matematica Italiana. 1(1). 1–16.9 indexed citations
13.
Богачев, В. И., Giuseppe Da Prato, & Michael Röckner. (2004). Invariant measures of generalized stochastic porous medium equations. PUB – Publications at Bielefeld University (Bielefeld University).3 indexed citations
14.
Kondratiev, Yuri, Eugene Lytvynov, & Michael Röckner. (2003). The Heat Semigroup on Configuration Spaces. Publications of the Research Institute for Mathematical Sciences. 39(1). 1–48.4 indexed citations
Röckner, Michael, et al.. (1996). Canonical Dirichlet operator and distorted Brownian motion on Poisson spaces. PUB – Publications at Bielefeld University (Bielefeld University).16 indexed citations
19.
Albeverio, Sergio, Yu. G. Kondratiev, & Michael Röckner. (1996). Differential geometry of Poisson spaces. PUB – Publications at Bielefeld University (Bielefeld University). 323(10). 1129–1134.38 indexed citations
20.
Fukushima, Masatoshi, et al.. (1991). CAPACITIES ON WIENER SPACE - TIGHTNESS AND INVARIANCE. PUB – Publications at Bielefeld University (Bielefeld University).3 indexed citations
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.