Michael Wulkow

1.9k total citations
38 papers, 1.5k citations indexed

About

Michael Wulkow is a scholar working on Organic Chemistry, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Michael Wulkow has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organic Chemistry, 8 papers in Polymers and Plastics and 7 papers in Materials Chemistry. Recurrent topics in Michael Wulkow's work include Advanced Polymer Synthesis and Characterization (10 papers), Polymer crystallization and properties (5 papers) and Probabilistic and Robust Engineering Design (4 papers). Michael Wulkow is often cited by papers focused on Advanced Polymer Synthesis and Characterization (10 papers), Polymer crystallization and properties (5 papers) and Probabilistic and Robust Engineering Design (4 papers). Michael Wulkow collaborates with scholars based in Germany, Russia and United States. Michael Wulkow's co-authors include Axel H. E. Müller, Deyue Yan, Peter Deuflhard, Piet D. Iedema, Huub C. J. Hoefsloot, Ulrich Nieken, Andreas Gerstlauer, Klaus‐Dieter Hungenberg, Markus Busch and Christof Schütte and has published in prestigious journals such as Macromolecules, Chemosphere and Polymer.

In The Last Decade

Michael Wulkow

36 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Wulkow Germany 18 784 559 284 212 188 38 1.5k
Piet D. Iedema Netherlands 28 632 0.8× 650 1.2× 678 2.4× 173 0.8× 547 2.9× 125 2.6k
Fouad Teymour United States 20 412 0.5× 180 0.3× 134 0.5× 115 0.5× 328 1.7× 72 1.3k
Park M. Reilly Canada 19 477 0.6× 232 0.4× 321 1.1× 58 0.3× 118 0.6× 62 1.5k
Marcelo Kaminski Lenzi Brazil 21 253 0.3× 96 0.2× 262 0.9× 115 0.5× 261 1.4× 133 1.6k
Paul Rys Switzerland 25 589 0.8× 90 0.2× 285 1.0× 118 0.6× 437 2.3× 85 1.7k
Michael F. Malone United States 37 226 0.3× 365 0.7× 1.0k 3.6× 200 0.9× 1.0k 5.5× 112 3.8k
Kui Chen China 22 207 0.3× 115 0.2× 711 2.5× 139 0.7× 312 1.7× 137 1.7k
Y. A. Liu United States 15 166 0.2× 121 0.2× 258 0.9× 55 0.3× 391 2.1× 34 1.2k
Jiayong Chen China 25 416 0.5× 63 0.1× 245 0.9× 267 1.3× 519 2.8× 129 1.8k
Klaus Ebert Germany 23 138 0.2× 143 0.3× 267 0.9× 149 0.7× 371 2.0× 65 1.3k

Countries citing papers authored by Michael Wulkow

Since Specialization
Citations

This map shows the geographic impact of Michael Wulkow'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 Wulkow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wulkow more than expected).

Fields of papers citing papers by Michael Wulkow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Wulkow. 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 Wulkow. The network helps show where Michael Wulkow may publish in the future.

Co-authorship network of co-authors of Michael Wulkow

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wulkow. A scholar is included among the top collaborators of Michael Wulkow 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 Wulkow. Michael Wulkow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hungenberg, Klaus‐Dieter, et al.. (2021). Deterministic and Stochastic Parameter Estimation for Polymer Reaction Kinetics I: Theory and Simple Examples. Macromolecular Theory and Simulations. 30(6). 2 indexed citations
2.
Hungenberg, Klaus‐Dieter, et al.. (2021). Deterministic and Stochastic Parameter Estimation for Polymer Reaction Kinetics I: Theory and Simple Examples. Macromolecular Theory and Simulations. 30(6). 7 indexed citations
3.
Hungenberg, Klaus‐Dieter, et al.. (2021). Determination of reactivity ratios for acrylic acid and its dimer from classical parameter estimation and Bayesian approach. The Canadian Journal of Chemical Engineering. 100(4). 780–789. 4 indexed citations
4.
Hungenberg, Klaus‐Dieter & Michael Wulkow. (2018). Modeling and Simulation in Polymer Reaction Engineering. 31 indexed citations
5.
Wulkow, Michael & John R. Richards. (2013). Evaluation of the Chain Length Distribution in Free-Radical Emulsion Polymerization—The Compartmentalization Problem. Industrial & Engineering Chemistry Research. 53(18). 7275–7295. 3 indexed citations
6.
Wulkow, Michael, et al.. (2013). Modeling of Functional Group Distribution in Copolymerization: A Comparison of Deterministic and Stochastic Approaches. Macromolecular Theory and Simulations. 23(3). 207–217. 58 indexed citations
7.
Pauer, Werner, et al.. (2012). Thermal Polymerization of Styrene, Part 2 – (Mini)emulsion Polymerization. Macromolecular Reaction Engineering. 6(5). 225–238. 4 indexed citations
8.
Schütte, Christof & Michael Wulkow. (2010). A Hybrid Galerkin–Monte‐Carlo Approach to Higher‐Dimensional Population Balances in Polymerization Kinetics. Macromolecular Reaction Engineering. 4(9-10). 562–577. 37 indexed citations
9.
Grimm, L.H., et al.. (2007). Population balance modeling of the conidial aggregation of Aspergillus niger. Biotechnology and Bioengineering. 99(2). 341–350. 28 indexed citations
10.
Grosch, R., Heiko Briesen, Michael Wulkow, & Wolfgang Marquardt. (2007). Generalization and numerical investigation of QMOM for crystallization processes. 1 indexed citations
11.
Huisinga, Wilhelm, et al.. (2006). The virtual laboratory approach to pharmacokinetics: design principles and concepts. Drug Discovery Today. 11(17-18). 800–805. 15 indexed citations
12.
Wulkow, Michael, Markus Busch, Thomas P. Davis, & Christopher Barner‐Kowollik. (2004). Implementing the reversible addition–fragmentation chain transfer process in PREDICI. Journal of Polymer Science Part A Polymer Chemistry. 42(6). 1441–1448. 75 indexed citations
13.
Busch, Markus, Marcus Müller, & Michael Wulkow. (2003). The Use of Simulation Techniques in Developing Kinetic Models for Polymerization. Chemical Engineering & Technology. 26(10). 1031–1040. 6 indexed citations
14.
Appel, Jörg, H. Bockhorn, & Michael Wulkow. (2001). A detailed numerical study of the evolution of soot particle size distributions in laminar premixed flames. Chemosphere. 42(5-7). 635–645. 55 indexed citations
15.
Wulkow, Michael, Andreas Gerstlauer, & Ulrich Nieken. (2001). Modeling and simulation of crystallization processes using parsival. Chemical Engineering Science. 56(7). 2575–2588. 100 indexed citations
16.
Hungenberg, Klaus‐Dieter, et al.. (2001). Design of Polymer Processes Using the Coupling of Commercial Simulation Packages Polymers Plus and PREDICI. 137. 237–245. 2 indexed citations
17.
Iedema, Piet D., Michael Wulkow, & Huub C. J. Hoefsloot. (2000). Modeling Molecular Weight and Degree of Branching Distribution of Low-Density Polyethylene. Macromolecules. 33(19). 7173–7184. 86 indexed citations
18.
Hungenberg, Klaus‐Dieter, Konrad Knoll, & Michael Wulkow. (1997). Absolute propagation rate coefficients in radical polymerization from gel permeation chromatography of polymers produced by intermittent initiation. Macromolecular Theory and Simulations. 6(2). 393–426. 10 indexed citations
19.
Wulkow, Michael. (1992). Adaptive treatment of polyreactions in weighted sequence spaces. 4(2). 153–193. 31 indexed citations
20.
Wulkow, Michael. (1990). Numerical Treatment of Countable Systems of Ordinary Differential Equations.. OpenGrey (Institut de l'Information Scientifique et Technique). 8 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.

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