Markus Geimer

1.8k total citations
31 papers, 553 citations indexed

About

Markus Geimer is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Markus Geimer has authored 31 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 22 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Markus Geimer's work include Parallel Computing and Optimization Techniques (22 papers), Distributed systems and fault tolerance (11 papers) and Distributed and Parallel Computing Systems (11 papers). Markus Geimer is often cited by papers focused on Parallel Computing and Optimization Techniques (22 papers), Distributed systems and fault tolerance (11 papers) and Distributed and Parallel Computing Systems (11 papers). Markus Geimer collaborates with scholars based in Germany, United States and Belgium. Markus Geimer's co-authors include Felix Wolf, Brian J. N. Wylie, Bernd Mohr, Daniel Becker, Erika Ábrahám, Kenneth Hoste, Lukas Arnold, Robert McLay, Stefan Müller and Mauro Sulis and has published in prestigious journals such as Future Generation Computer Systems, Geoscientific model development and Parallel Computing.

In The Last Decade

Markus Geimer

30 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Geimer Germany 13 379 307 131 51 46 31 553
Catherine Olschanowsky United States 14 251 0.7× 208 0.7× 78 0.6× 29 0.6× 10 0.2× 29 388
Brian Toonen United States 12 691 1.8× 526 1.7× 141 1.1× 33 0.6× 31 0.7× 24 813
Patrick O’Leary United States 10 162 0.4× 63 0.2× 28 0.2× 30 0.6× 10 0.2× 23 406
Wayne Gaudin United Kingdom 10 180 0.5× 186 0.6× 50 0.4× 24 0.5× 54 1.2× 16 327
Haihang You China 11 180 0.5× 167 0.5× 78 0.6× 5 0.1× 18 0.4× 55 530
Andrew Bauer United States 7 202 0.5× 58 0.2× 36 0.3× 105 2.1× 10 0.2× 19 423
Grzegorz Kwaśniewski Switzerland 7 132 0.3× 74 0.2× 80 0.6× 10 0.2× 58 1.3× 15 299
John Levesque United States 11 234 0.6× 204 0.7× 44 0.3× 32 0.6× 11 0.2× 23 431
Charles D. Norton United States 11 118 0.3× 93 0.3× 28 0.2× 41 0.8× 7 0.2× 54 352
Haiying Xu United States 7 117 0.3× 49 0.2× 37 0.3× 7 0.1× 47 1.0× 13 240

Countries citing papers authored by Markus Geimer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Geimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Geimer

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Geimer. A scholar is included among the top collaborators of Markus Geimer 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 Markus Geimer. Markus Geimer 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.
Sharples, Wendy, Markus Geimer, Klaus Goergen, et al.. (2018). A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications. Geoscientific model development. 11(7). 2875–2895. 2 indexed citations
2.
Sharples, Wendy, Markus Geimer, Klaus Goergen, et al.. (2017). Best practice regarding the three P's: profiling, portability andprovenance when running HPC geoscientific applications. 1 indexed citations
3.
Geimer, Markus, et al.. (2016). Identifying the Root Causes of Wait States in Large-Scale Parallel Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(2). 1–24. 13 indexed citations
4.
Geimer, Markus, et al.. (2016). Scientific software management in real life: deployment of easybuild on a large scale system. 31–40. 2 indexed citations
5.
6.
Geimer, Markus, Kenneth Hoste, & Robert McLay. (2014). Modern Scientific Software Management Using EasyBuild and Lmod. Ghent University Academic Bibliography (Ghent University). 41–51. 28 indexed citations
7.
Wylie, Brian J. N., et al.. (2013). Hands-on Practical Hybrid Parallel Application Performance Engineering. JuSER (Forschungszentrum Jülich). 1 indexed citations
8.
Wolf, Felix, et al.. (2012). Scalable Critical-Path Based Performance Analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1330–1340. 34 indexed citations
9.
Wolf, Felix, et al.. (2012). Characterizing Load and Communication Imbalance in Large-Scale Parallel Applications. Zenodo (CERN European Organization for Nuclear Research). 2538–2541. 9 indexed citations
10.
Becker, Daniel, Markus Geimer, Rolf Rabenseifner, & Felix Wolf. (2011). Extending the scope of the controlled logical clock. Cluster Computing. 16(1). 171–189. 2 indexed citations
11.
Wylie, Brian J. N. & Markus Geimer. (2011). Large-scale performance analysis of PFLOTRAN with Scalasca. JuSER (Forschungszentrum Jülich). 2 indexed citations
12.
Geimer, Markus, et al.. (2010). Identifying the Root Causes of Wait States in Large-Scale Parallel Applications. 90–100. 24 indexed citations
13.
Wylie, Brian J. N., et al.. (2010). LARGE-SCALE PERFORMANCE ANALYSIS OF SWEEP3D WITH THE SCALASCA TOOLSET. Parallel Processing Letters. 20(4). 397–414. 13 indexed citations
14.
Geimer, Markus, Felix Wolf, Brian J. N. Wylie, et al.. (2010). The Scalasca performance toolset architecture. Concurrency and Computation Practice and Experience. 22(6). 702–719. 203 indexed citations
15.
Knüpfer, Andreas, Markus Geimer, Joseph Schuchart, et al.. (2010). A generic attribute extension to OTF and its use for MPI replay. Procedia Computer Science. 1(1). 2115–2124. 2 indexed citations
16.
Geimer, Markus, Felix Wolf, Brian J. N. Wylie, & Bernd Mohr. (2009). A scalable tool architecture for diagnosing wait states in massively parallel applications. Parallel Computing. 35(7). 375–388. 31 indexed citations
17.
Geimer, Markus, et al.. (2008). Verifying Causal Connections between Distant Performance Phenomena in Large-Scale Message-Passing Applications. JuSER (Forschungszentrum Jülich). 1 indexed citations
18.
Wylie, Brian J. N., Markus Geimer, & Felix Wolf. (2008). Performance Measurement and Analysis of Large-Scale Parallel Applications on Leadership Computing Systems. Scientific Programming. 16(2-3). 167–181. 15 indexed citations
19.
Geimer, Markus, et al.. (2007). Scalable Collation and Presentation of Call-Path Profile Data with CUBE. JuSER (Forschungszentrum Jülich). 645–652. 10 indexed citations
20.
Becker, Daniel, Felix Wolf, Wolfgang Frings, et al.. (2007). Automatic Trace-Based Performance Analysis of Metacomputing Applications. 49. 1–10. 28 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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