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.
Rolling friction as a technique for modelling particle shape in DEM
2011496 citationsC.M. Wensrich, André KatterfeldPowder Technologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by André Katterfeld
Since
Specialization
Citations
This map shows the geographic impact of André Katterfeld'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 André Katterfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Katterfeld more than expected).
Fields of papers citing papers by André Katterfeld
This network shows the impact of papers produced by André Katterfeld. 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 André Katterfeld. The network helps show where André Katterfeld may publish in the future.
Co-authorship network of co-authors of André Katterfeld
This figure shows the co-authorship network connecting the top 25 collaborators of André Katterfeld.
A scholar is included among the top collaborators of André Katterfeld 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 André Katterfeld. André Katterfeld is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Katterfeld, André, et al.. (2015). Determination of the bulk flexure resistance via coupled fem-dem simulation. NOVA (University of Newcastle Australia).5 indexed citations
11.
Katterfeld, André, et al.. (2012). Coupled DEM and FEM simulations for the analysis of conveyor belt deflection. NOVA (University of Newcastle Australia).2 indexed citations
12.
Donohue, Timothy J., A. W. Roberts, Craig Wheeler, Dusan Ilic, & André Katterfeld. (2012). Effective transfer chute design including dust control for handling grains and other products..2 indexed citations
13.
Wensrich, C.M. & André Katterfeld. (2011). Rolling friction as a technique for modelling particle shape in DEM. Powder Technology. 217. 409–417.496 indexed citations breakdown →
14.
Schott, Dingena, et al.. (2011). Influence of the software on the calibration parameters for DEM simulations. 31. 396–400.4 indexed citations
15.
Katterfeld, André, Timothy J. Donohue, & Craig Wheeler. (2010). Simulation based dust predication of transfer chutes. NOVA (University of Newcastle Australia).1 indexed citations
16.
Katterfeld, André, et al.. (2010). Prediction of conveyor belt deflection by coupling of FEM and DEM simulations. NOVA (University of Newcastle Australia).4 indexed citations
17.
Gupta, Akash, et al.. (2010). Discrete Element Study Mixing in an Industrial Sized Mixer. University of Twente Research Information. 1–4.2 indexed citations
18.
Katterfeld, André, et al.. (2009). Usage of DEM simulations for the development of a new chute design in underground mining. 90.4 indexed citations
19.
Katterfeld, André & Kenneth Williams. (2008). Functional analysis of tube chain conveyors: part 1: general design and calculation principles. NOVA (University of Newcastle Australia).1 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.