Matthias Lieber

9.7k total citations
14 papers, 148 citations indexed

About

Matthias Lieber is a scholar working on Computer Networks and Communications, Hardware and Architecture and Atmospheric Science. According to data from OpenAlex, Matthias Lieber has authored 14 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 2 papers in Atmospheric Science. Recurrent topics in Matthias Lieber's work include Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Peer-to-Peer Network Technologies (2 papers). Matthias Lieber is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Peer-to-Peer Network Technologies (2 papers). Matthias Lieber collaborates with scholars based in Germany, United States and Israel. Matthias Lieber's co-authors include Wolfgang E. Nagel, Le‐Shin Wu, Matthias Müller, Matthias Jurenz, Brian J. Haas, Richard D. LeDuc, Robert Henschel, Andreas Knüpfer, Holger Brunst and Ralf Wolke and has published in prestigious journals such as Environmental Modelling & Software, Future Generation Computer Systems and Concurrency and Computation Practice and Experience.

In The Last Decade

Matthias Lieber

14 papers receiving 143 citations

Peers

Matthias Lieber

CNC

HA

MB

IS

EEE

Diego Cazorla Spain

Y. Lee South Korea

Zixuan Wang United States

Jingke Li China

C. Kouzinopoulos Greece

Stephen Simms United States

Ricardo Rocha Portugal

Edwin Skidmore United States

Benoît Delahaye France

Troels Henriksen Denmark

Diego Cazorla Spain

Matthias Lieber

76 ×1.0

CNC

15 ×0.3

HA

15 ×0.6

MB

38 ×1.4

IS

4 ×0.4

EEE

Citations per year, relative to Matthias Lieber Matthias Lieber (= 1×) peers Diego Cazorla

Countries citing papers authored by Matthias Lieber

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Lieber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Lieber

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

All Works

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14 of 14 papers shown

1.

Lieber, Matthias, et al.. (2024). Towards Computational Performance Engineering for Unsupervised Concept Drift Detection: Complexities, Benchmarking, Performance Analysis. 318–329. 3 indexed citations

2.

Lieber, Matthias & Wolfgang E. Nagel. (2017). Highly scalable SFC-based dynamic load balancing and its application to atmospheric modeling. Future Generation Computer Systems. 82. 575–590. 11 indexed citations

3.

Kuo, Tei‐Wei, et al.. (2017). Wildly Heterogeneous Post-CMOS Technologies Meet Software (Dagstuhl Seminar 17061). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations

4.

Lieber, Matthias, et al.. (2016). The Potential of Diffusive Load Balancing at Large Scale. 154–157. 6 indexed citations

5.

Barak, Amnon, et al.. (2015). Resilient gossip algorithms for collecting online management information in exascale clusters. Concurrency and Computation Practice and Experience. 27(17). 4797–4818. 5 indexed citations

6.

Barak, Amnon, et al.. (2014). Overhead of a decentralized gossip algorithm on the performance of HPC applications. 1–7. 2 indexed citations

7.

Lieber, Matthias & Wolfgang E. Nagel. (2014). Scalable high-quality 1D partitioning. 47. 112–119. 4 indexed citations

8.

Henschel, Robert, et al.. (2012). Trinity RNA-Seq assembler performance optimization. 1–8. 48 indexed citations

9.

Lieber, Matthias. (2012). Dynamische Lastbalancierung und Modellkopplung zur hochskalierbaren Simulation von Wolkenprozessen. Qucosa (Saxon State and University Library Dresden). 1 indexed citations

10.

Lieber, Matthias, Ralf Wolke, Matthias Müller, et al.. (2010). FD4: A Framework for Highly Scalable Load Balancing and Coupling of Multiphase Models. AIP conference proceedings. 1639–1642. 1 indexed citations

11.

Stewart, Craig A., G. W. Turner, David Y. Hancock, et al.. (2009). Implementation, performance, and science results from a 30.7 TFLOPS IBM BladeCenter cluster. Concurrency and Computation Practice and Experience. 22(2). 157–174. 2 indexed citations

12.

Lieber, Matthias & Ralf Wolke. (2007). Optimizing the coupling in parallel air quality model systems. Environmental Modelling & Software. 23(2). 235–243. 9 indexed citations

13.

Müller, Matthias, Andreas Knüpfer, Matthias Jurenz, et al.. (2007). Developing Scalable Applications with Vampir, VampirServer and VampirTrace. 637–644. 52 indexed citations

14.

Wolke, Ralf, Matthias Lieber, Eberhard Renner, et al.. (2006). Modelling of Atmospheric Chemistry Transport Processes. 3 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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