W. Joppich

470 total citations
17 papers, 291 citations indexed

About

W. Joppich is a scholar working on Computational Mechanics, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, W. Joppich has authored 17 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 6 papers in Electrical and Electronic Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in W. Joppich's work include Lattice Boltzmann Simulation Studies (5 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). W. Joppich is often cited by papers focused on Lattice Boltzmann Simulation Studies (5 papers), Distributed and Parallel Computing Systems (5 papers) and Advanced Numerical Methods in Computational Mathematics (4 papers). W. Joppich collaborates with scholars based in Germany, Serbia and United States. W. Joppich's co-authors include R. Wienands, Slobodan Mijalković, Dirk Reith, Holger Foysi, Andreas Krämer, G. Winter, U. Keller, Ulrich Trottenberg, Rolf Hempel and Cornelis W. Oosterlee and has published in prestigious journals such as Future Generation Computer Systems, Computers & Mathematics with Applications and Computational Materials Science.

In The Last Decade

W. Joppich

15 papers receiving 261 citations

Peers

W. Joppich
Johann Dahm United States
Erlend Arge Norway
Claude Greengard United States
Daniel Ruprecht Germany
Jeffrey Saltzman United States
Michael Simon United Kingdom
Daniel R. Reynolds United States
Tobias Weinzierl United Kingdom
Christopher Siefert United States
Christiane Helzel Germany
Johann Dahm United States
W. Joppich
Citations per year, relative to W. Joppich W. Joppich (= 1×) peers Johann Dahm

Countries citing papers authored by W. Joppich

Since Specialization
Citations

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

Fields of papers citing papers by W. Joppich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Joppich

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

All Works

17 of 17 papers shown
1.
Krämer, Andreas, et al.. (2018). Lattice Boltzmann simulations on irregular grids: Introduction of the NATriuM library. Computers & Mathematics with Applications. 79(1). 34–54. 13 indexed citations
2.
Krämer, Andreas, et al.. (2018). Transition point prediction in a multicomponent lattice Boltzmann model: Forcing scheme dependencies. Physical review. E. 97(2). 23313–23313. 7 indexed citations
3.
Krämer, Andreas, et al.. (2017). Semi-Lagrangian off-lattice Boltzmann method for weakly compressible flows. Physical review. E. 95(2). 23305–23305. 46 indexed citations
4.
Krämer, Andreas, et al.. (2016). Numerical optimisation of the pseudopotential-based lattice Boltzmann method. Journal of Computational Science. 17. 384–393. 5 indexed citations
5.
Joppich, W., et al.. (2005). MpCCI—a tool for the simulation of coupled applications. Concurrency and Computation Practice and Experience. 18(2). 183–192. 43 indexed citations
6.
Wienands, R. & W. Joppich. (2004). Practical Fourier Analysis for Multigrid Methods. 119 indexed citations
7.
Joppich, W., et al.. (2002). Medium-range weather forecast on parallel systems. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 11. 388–391. 2 indexed citations
8.
Joppich, W., et al.. (1998). A parallel multigrid solver applied to the simulation of thermal oxidation and diffusion processes. Computational Materials Science. 11(2). 105–108. 2 indexed citations
9.
10.
Hempel, Rolf, W. Joppich, Cornelis W. Oosterlee, et al.. (1996). Real applications on the new parallel system NEC Cenju-3. Parallel Computing. 22(1). 131–148. 2 indexed citations
11.
Joppich, W., et al.. (1995). Wetter- und Klimavorhersage auf hochgradig parallelen Rechnern.. Informatik-Spektrum. 18. 335–339.
12.
Joppich, W. & Slobodan Mijalković. (1995). Multigrid methods for process simulation. Microelectronics Journal. 26(2-3). xxvii–xxviii. 15 indexed citations
13.
Joppich, W., et al.. (1994). Two strategies in parallel computing: Porting existing software versus developing new parallel algorithms — two examples. Future Generation Computer Systems. 10(2-3). 257–262. 1 indexed citations
14.
Joppich, W., et al.. (1993). Parallelizing the ECMWF's weather forecast program: the 2D case. Parallel Computing. 19(12). 1413–1425. 12 indexed citations
15.
Joppich, W. & Slobodan Mijalković. (1993). Multigrid Methods for Process Simulation. 16 indexed citations
16.
Joppich, W., et al.. (1993). First results with a parallelized 3D weather prediction code. Parallel Computing. 19(12). 1427–1429. 3 indexed citations
17.

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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