Jan Riehme

406 total citations
18 papers, 256 citations indexed

About

Jan Riehme is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Jan Riehme has authored 18 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Numerical Analysis, 5 papers in Computational Mechanics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Jan Riehme's work include Numerical methods for differential equations (5 papers), Numerical Methods and Algorithms (4 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). Jan Riehme is often cited by papers focused on Numerical methods for differential equations (5 papers), Numerical Methods and Algorithms (4 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). Jan Riehme collaborates with scholars based in Germany, United Kingdom and Greece. Jan Riehme's co-authors include Johannes Terno, Guntram Scheithauer, Uwe Naumann, Andreas Griewank, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Konstantinos Parasyris, Catherine Villaret and Nicolas R. Gauger and has published in prestigious journals such as European Journal of Operational Research, Monthly Weather Review and Computers & Geosciences.

In The Last Decade

Jan Riehme

16 papers receiving 236 citations

Peers

Jan Riehme

IME

CGCD

CTM

EEE

Jens Keuchel Germany

Wenxing Zhang China

Alexander Breuer Germany

Wm. Randolph Franklin United States

Chenlin Meng United States

Isabelle Sivignon France

Takayuki Itoh Japan

Hu Ju China

A. Srivastav Germany

Renato N. Elias Brazil

Jens Keuchel Germany

Jan Riehme

18 ×0.1

IME

4 ×0.1

CGCD

16 ×0.5

CTM

30 ×1.2

7 ×0.4

EEE

Citations per year, relative to Jan Riehme Jan Riehme (= 1×) peers Jens Keuchel

Countries citing papers authored by Jan Riehme

Since Specialization

Citations

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

Fields of papers citing papers by Jan Riehme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Riehme

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

All Works

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18 of 18 papers shown

Riehme, Jan, Konstantinos Parasyris, Christos D. Antonopoulos, et al.. (2016). Towards automatic significance analysis for approximate computing. University of Thessaly Institutional Repository (University of Thessaly). 182–193. 29 indexed citations

Villaret, Catherine, et al.. (2015). First-order uncertainty analysis using Algorithmic Differentiation of morphodynamic models. Computers & Geosciences. 90. 144–151. 15 indexed citations

Korn, Peter, et al.. (2014). Estimation of Data Assimilation Error: A Shallow-Water Model Study. Monthly Weather Review. 142(7). 2502–2520. 3 indexed citations

Riehme, Jan, et al.. (2013). Uncertainty quantification based on forward sensitivity analysis in SISYPHE. RWTH Publications (RWTH Aachen). 1 indexed citations

Riehme, Jan, et al.. (2013). Rückrechnung von Rand- und Anfangsbedingungen mit Telemac und Algorithmischer Differentiation. WASSERWIRTSCHAFT. 103(12). 22–27. 1 indexed citations

Riehme, Jan, et al.. (2013). Reverse engineering of initial and boundary conditions with TELEMAC and algorithmic differentiation. University of Hertfordshire Research Archive (University of Hertfordshire). 1 indexed citations

Riehme, Jan, et al.. (2012). Using reliability analysis in morphodynamic simulation with TELEMAC-2D/SISPHYE. University of Hertfordshire Research Archive (University of Hertfordshire). 119–125. 3 indexed citations

Rauser, Florian, et al.. (2010). On the use of discrete adjoints in goal error estimation for shallow water equations. Procedia Computer Science. 1(1). 107–115. 10 indexed citations

Riehme, Jan & Andreas Griewank. (2009). Algorithmic Differentiation Through Automatic Graph Elimination Ordering (ADTAGEO). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 1 indexed citations

10.

Gauger, Nicolas R., Andreas Griewank, & Jan Riehme. (2008). Extension of fixed point PDE solvers for optimal design by one-shot method. European Journal of Computational Mechanics. 17(1-2). 87–102. 9 indexed citations

11.

Naumann, Uwe, Michael S. Maier, Jan Riehme, & Bruce Christianson. (2007). Automatic first- and second-order adjoints for truncated Newton. RWTH Publications (RWTH Aachen). 4 indexed citations

12.

Naumann, Uwe & Jan Riehme. (2007). An L-Attributed Grammar for Adjoint Code. RWTH Publications (RWTH Aachen). 2 indexed citations

13.

Maier, Michael S., et al.. (2007). Second-order adjoints by source code manipulation of numerical programs. 3 indexed citations

14.

Riehme, Jan, Uwe Naumann, & Bruce Christianson. (2007). The differentiation‐enabled NAGWare Fortran compiler. PAMM. 7(1). 1140207–1140208. 1 indexed citations

15.

Naumann, Uwe & Jan Riehme. (2005). A differentiation-enabled Fortran 95 compiler. ACM Transactions on Mathematical Software. 31(4). 458–474. 15 indexed citations

16.

Riehme, Jan, et al.. (2003). Towards differentiation-enabled Fortran 95 compiler technology. 143–147. 7 indexed citations

17.

Terno, Johannes, et al.. (2000). An efficient approach for the multi-pallet loading problem. European Journal of Operational Research. 123(2). 372–381. 115 indexed citations

18.

Riehme, Jan, Guntram Scheithauer, & Johannes Terno. (1996). The solution of two-stage guillotine cutting stock problems having extremely varying order demands. European Journal of Operational Research. 91(3). 543–552. 36 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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