Michael Lang

1.8k total citations
109 papers, 1.2k citations indexed

About

Michael Lang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Lang has authored 109 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 50 papers in Hardware and Architecture and 35 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Lang's work include Parallel Computing and Optimization Techniques (50 papers), Distributed and Parallel Computing Systems (28 papers) and Interconnection Networks and Systems (27 papers). Michael Lang is often cited by papers focused on Parallel Computing and Optimization Techniques (50 papers), Distributed and Parallel Computing Systems (28 papers) and Interconnection Networks and Systems (27 papers). Michael Lang collaborates with scholars based in United States, Austria and Italy. Michael Lang's co-authors include Scott Pakin, Darren J. Kerbyson, R. Wilkins, Ioan Raicu, Adolfy Hoisie, Xin Yuan, José Carlos Sancho, Kevin Barker, Kei Davis and Tonglin Li and has published in prestigious journals such as Progress in Energy and Combustion Science, IEEE Transactions on Industry Applications and Computer.

In The Last Decade

Michael Lang

103 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lang United States 18 743 460 341 301 137 109 1.2k
Guanpeng Li United States 18 321 0.4× 339 0.7× 865 2.5× 63 0.2× 28 0.2× 61 1.4k
Kanak Agarwal United States 26 800 1.1× 803 1.7× 1.8k 5.3× 355 1.2× 33 0.2× 101 2.5k
Calvin J. Ribbens United States 15 330 0.4× 187 0.4× 43 0.1× 161 0.5× 36 0.3× 72 970
Kazutomo Yoshii United States 12 379 0.5× 314 0.7× 128 0.4× 153 0.5× 3 0.0× 42 597
Frank Hannig Germany 16 532 0.7× 807 1.8× 333 1.0× 55 0.2× 9 0.1× 162 1.2k
F. Wu United States 14 160 0.2× 18 0.0× 714 2.1× 32 0.1× 27 0.2× 29 1.2k
Almir Mutapcic United States 13 283 0.4× 199 0.4× 422 1.2× 26 0.1× 22 0.2× 18 816
Apostolos Gerasoulis United States 15 1.1k 1.5× 901 2.0× 64 0.2× 382 1.3× 8 0.1× 31 1.6k
Jianhao Hu China 18 580 0.8× 68 0.1× 891 2.6× 132 0.4× 4 0.0× 146 1.3k
Mark Zwoliński United Kingdom 18 170 0.2× 713 1.6× 985 2.9× 27 0.1× 8 0.1× 183 1.4k

Countries citing papers authored by Michael Lang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lang. A scholar is included among the top collaborators of Michael Lang 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 Michael Lang. Michael Lang 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.
Posch, Stefan, et al.. (2024). Turbulent combustion modeling for internal combustion engine CFD: A review. Progress in Energy and Combustion Science. 106. 101200–101200. 10 indexed citations
2.
Lang, Michael, et al.. (2020). Experimental Investigations on a Novel Expansion Engine for Waste Heat Recovery. SAE technical papers on CD-ROM/SAE technical paper series. 2 indexed citations
3.
Lang, Michael, et al.. (2020). CFD Simulation Methodology for a Rotary Steam Expansion Piston Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
4.
Yuan, Xin, et al.. (2018). TPR: Traffic Pattern-Based Adaptive Routing for Dragonfly Networks. University of North Florida Digital Commons (University of North Florida). 4(4). 931–943. 11 indexed citations
5.
Yuan, Xin, et al.. (2017). Random Regular Graph and Generalized De Bruijn Graph with $k$ -Shortest Path Routing. IEEE Transactions on Parallel and Distributed Systems. 29(1). 144–155. 11 indexed citations
6.
Yuan, Xin, et al.. (2016). Traffic Pattern-Based Adaptive Routing for Intra-Group Communication in Dragonfly Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 19–26. 8 indexed citations
7.
Lang, Michael, et al.. (2016). Mass Balancing Measures of a Linkage-Based Extended Expansion Engine. SAE International Journal of Engines. 9(4). 2498–2507.
8.
Zhou, Tong, Scott Pakin, Michael Lang, & Xin Yuan. (2016). Fast Classification of MPI Applications Using Lamport's Logical Clocks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 618–627. 3 indexed citations
9.
Kulkarni, Abhishek, et al.. (2015). Exploring the Design Tradeoffs for Extreme-Scale High-Performance Computing System Software. IEEE Transactions on Parallel and Distributed Systems. 27(4). 1070–1084. 14 indexed citations
10.
Zhang, Ziming, Michael Lang, Scott Pakin, & Song Fu. (2014). Trapped Capacity: Scheduling under a Power Cap to Maximize Machine-Room Throughput. 41–50. 17 indexed citations
11.
Zhao, Ming, et al.. (2014). Enabling composite applications through an asynchronous shared memory interface. 219–224. 6 indexed citations
12.
Lang, Michael, et al.. (2013). HPC runtime support for fast and power efficient locking and synchronization. 1–7. 7 indexed citations
13.
Kulkarni, Abhishek, et al.. (2012). Optimizing latency and throughput for spawning processes on massively multicore processors. 1–7. 1 indexed citations
14.
Sancho, José Carlos, Michael Lang, & Darren J. Kerbyson. (2010). Analyzing the trade-off between multiple memory controllers and memory channels on multi-core processor performance. 1–7. 7 indexed citations
15.
Lubeck, O., et al.. (2009). Implementation and Performance Modeling of Deterministic Particle Transport (Sweep3D) on the IBM Cell/B.E.. Scientific Programming. 17(1-2). 199–208. 9 indexed citations
16.
Zahavi, Eitan, Gregory Johnson, Darren J. Kerbyson, & Michael Lang. (2009). Optimized InfiniBandTMfat‐tree routing for shift all‐to‐all communication patterns. Concurrency and Computation Practice and Experience. 22(2). 217–231. 47 indexed citations
17.
Datashvili, L., et al.. (2007). High Precision Large Deployable Space Reflector Based On Pillow-Effect-Free Technology. 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 16 indexed citations
18.
19.
Fischer, J., et al.. (2004). An ultra low-power adiabatic adder embedded in a standard 0.13μm CMOS environment. 38. 599–602. 11 indexed citations
20.
Kerbyson, Darren J., et al.. (2004). An empirical performance analysis of commodity memories in commodity servers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 42–42. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Guanpeng Li Breakdown of academic impact, for papers by Kanak Agarwal Breakdown of academic impact, for papers by Calvin J. Ribbens Breakdown of academic impact, for papers by Kazutomo Yoshii Breakdown of academic impact, for papers by Frank Hannig Breakdown of academic impact, for papers by F. Wu Breakdown of academic impact, for papers by Almir Mutapcic Breakdown of academic impact, for papers by Apostolos Gerasoulis Breakdown of academic impact, for papers by Jianhao Hu Breakdown of academic impact, for papers by Mark Zwoliński
Rankless by CCL
2026