Markus Schordan

865 total citations
34 papers, 282 citations indexed

About

Markus Schordan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Markus Schordan has authored 34 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hardware and Architecture, 15 papers in Computer Networks and Communications and 12 papers in Artificial Intelligence. Recurrent topics in Markus Schordan's work include Parallel Computing and Optimization Techniques (17 papers), Real-Time Systems Scheduling (10 papers) and Advanced Software Engineering Methodologies (8 papers). Markus Schordan is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Real-Time Systems Scheduling (10 papers) and Advanced Software Engineering Methodologies (8 papers). Markus Schordan collaborates with scholars based in United States, Austria and Germany. Markus Schordan's co-authors include Jens Knoop, Harshitha Menon, Pei‐Hung Lin, Michael O. Lam, Chunhua Liao, Ian Karlin, Daniel Osei-Kuffuor, Raimund Kirner, Scott Lloyd and Kathryn Mohror and has published in prestigious journals such as Software & Systems Modeling, Concurrency and Computation Practice and Experience and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Markus Schordan

34 papers receiving 270 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 Schordan United States 11 214 118 88 65 44 34 282
Toshitsugu Yuba Japan 9 288 1.3× 280 2.4× 42 0.5× 48 0.7× 18 0.4× 38 372
Norman Scaife France 9 211 1.0× 81 0.7× 108 1.2× 61 0.9× 48 1.1× 16 274
Steven Tjiang United States 5 287 1.3× 123 1.0× 58 0.7× 137 2.1× 72 1.6× 6 354
Deepak A. Mathaikutty United States 9 187 0.9× 71 0.6× 62 0.7× 23 0.4× 67 1.5× 46 246
Doug Woos United States 8 112 0.5× 336 2.8× 78 0.9× 147 2.3× 54 1.2× 13 420
Michal Rimon Israel 7 198 0.9× 28 0.2× 103 1.2× 47 0.7× 134 3.0× 16 291
Gil Shurek Israel 10 295 1.4× 67 0.6× 149 1.7× 68 1.0× 158 3.6× 13 405
Dag Nyström Sweden 8 124 0.6× 137 1.2× 40 0.5× 106 1.6× 22 0.5× 31 230
Samuel P. Harbison France 6 143 0.7× 166 1.4× 24 0.3× 119 1.8× 18 0.4× 9 273
Kathleen Knobe United States 11 453 2.1× 419 3.6× 51 0.6× 116 1.8× 15 0.3× 23 545

Countries citing papers authored by Markus Schordan

Since Specialization
Citations

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

Fields of papers citing papers by Markus Schordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schordan

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schordan. A scholar is included among the top collaborators of Markus Schordan 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 Schordan. Markus Schordan 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.
Parasyris, Konstantinos, Giorgis Georgakoudis, Harshitha Menon, et al.. (2021). HPAC. 1–14. 13 indexed citations
2.
Schordan, Markus. (2020). The Language of the Visitor Design Pattern. JUCS - Journal of Universal Computer Science. 12. 849–867. 1 indexed citations
3.
Lam, Michael O., et al.. (2019). Tool Integration for Source-Level Mixed Precision. 27–35. 12 indexed citations
4.
Schordan, Markus, Tomas Oppelstrup, David Jefferson, & P. D. Barnes. (2018). Generation of Reversible C++ Code for Optimistic Parallel Discrete Event Simulation. New Generation Computing. 36(3). 257–280. 10 indexed citations
5.
Schordan, Markus, et al.. (2017). Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 34–41. 2 indexed citations
6.
Pellegrini, Alessandro, et al.. (2017). Dealing with Reversibility of Shared Libraries in PDES. Cineca Institutional Research Information System (Tor Vergata University). 41–52. 2 indexed citations
7.
Schordan, Markus, et al.. (2012). Comparison of type-based and alias-based component recognition for embedded systems software. International Journal on Software Tools for Technology Transfer. 15(1). 41–52. 4 indexed citations
8.
Kirner, Raimund, et al.. (2010). Beyond loop bounds: comparing annotation languages for worst-case execution time analysis. Software & Systems Modeling. 10(3). 411–437. 12 indexed citations
9.
Schordan, Markus, et al.. (2009). Component Based Middleware-Synthesis for AUTOSAR Basic Software. Zenodo (CERN European Organization for Nuclear Research). 1078. 236–243. 4 indexed citations
10.
Schordan, Markus, et al.. (2009). Adding Timing-Awareness to AUTOSAR Basic-Software -- A Component Based Approach. Zenodo (CERN European Organization for Nuclear Research). 237. 288–292. 5 indexed citations
11.
Holsti, Niklas, Jan Gustafsson, Guillem Bernat, et al.. (2008). WCET TOOL CHALLENGE 2008: REPORT. 5 indexed citations
12.
Kirner, Raimund, et al.. (2008). Towards a Common WCET Annotation Language: Essential Ingredients. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 10 indexed citations
13.
Schordan, Markus, et al.. (2008). TuBound - A Conceptually New Tool for Worst-Case Execution Time Analysis. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 17 indexed citations
14.
Schordan, Markus, et al.. (2008). Source Code Based Component Recognition in Software Stacks for Embedded Systems. 463–468. 3 indexed citations
15.
Schordan, Markus. (2008). Source-To-Source Analysis with SATIrE - an Example Revisited. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 2 indexed citations
16.
Kirner, Raimund, et al.. (2007). WCET Analysis: The Annotation Language Challenge. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 0. 11 indexed citations
17.
Schordan, Markus & Diana Quinlan. (2006). Specifying Transformation Sequences as Computation on Program Fragments with an Abstract Attribute Grammar. 477. 97–106. 3 indexed citations
18.
Quinlan, Daniel J., et al.. (2004). Parallel object-oriented framework optimization: Research Articles. Concurrency and Computation Practice and Experience. 16(2). 293–302. 3 indexed citations
19.
Quinlan, Daniel J., et al.. (2004). Parallel object‐oriented framework optimization. Concurrency and Computation Practice and Experience. 16(2-3). 293–302. 7 indexed citations
20.
Schordan, Markus, et al.. (2003). Semantic-Driven Parallelization of Loops Operating on User-Defined Containers. University of North Texas Digital Library (University of North Texas). 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.

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