Michael Lass

3.9k total citations
12 papers, 59 citations indexed

About

Michael Lass is a scholar working on Hardware and Architecture, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael Lass has authored 12 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hardware and Architecture, 5 papers in Artificial Intelligence and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael Lass's work include Parallel Computing and Optimization Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Advanced Chemical Physics Studies (2 papers). Michael Lass is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Advanced Chemical Physics Studies (2 papers). Michael Lass collaborates with scholars based in Germany, Spain and Poland. Michael Lass's co-authors include Christian Plessl, Thomas D. Kühne, Hossam Elgabarty, Robert R. Schade, Eun‐Jae Park, Alfio Borzı̀, Tobias Kenter, Hans Pabst, Jürg Hutter and Ole Schütt and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Optimization Theory and Applications and Entropy.

In The Last Decade

Michael Lass

10 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Lass Germany	4	22	16	10	9	8	12	59
Leighton Wilson United States	6	12 0.5×	11 0.7×	17 1.7×	3 0.3×	6 0.8×	9	59
Gábor János Tornai Hungary	4	25 1.1×	11 0.7×	6 0.6×	4 0.4×	10 1.3×	6	66
Bryce M. Westheimer United States	5	25 1.1×	17 1.1×	8 0.8×	6 0.7×	35 4.4×	6	85
Daniel Westphal Germany	3	7 0.3×	13 0.8×	12 1.2×	1 0.1×		3	66
L. ORiordan Japan	7	41 1.9×	30 1.9×	5 0.5×	3 0.3×		8	90
Iván Marín France	9	11 0.5×	9 0.6×	2 0.2×	7 0.8×		36	172
В. А. Крылов Russia	7	28 1.3×	8 0.5×	14 1.4×	9 1.0×		22	97
Sarah D. Dods Australia	11	52 2.4×	5 0.3×	2 0.2×	3 0.3×		43	394
L.M. Zhao China	5	6 0.3×	11 0.7×	73 7.3×	5 0.6×		16	123
Radmila Sazdanović United States	6	4 0.2×	5 0.3×	14 1.4×	33 3.7×		36	128

Countries citing papers authored by Michael Lass

Since Specialization

Citations

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

Fields of papers citing papers by Michael Lass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lass

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

All Works

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12 of 12 papers shown

Schade, Robert R., Michael Lass, Marcel Müller, et al.. (2025). Submatrix and GPU-accelerated implementation of density matrix tight-binding. The Journal of Chemical Physics. 163(13).

Causmaecker, Patrick De, et al.. (2024). A Computation of the Ninth Dedekind Number Using FPGA Supercomputing. ACM Transactions on Reconfigurable Technology and Systems. 17(3). 1–28. 1 indexed citations

Schade, Robert R., et al.. (2024). Scalable quantum detector tomography by high-performance computing. Quantum Science and Technology. 10(1). 15018–15018.

Lass, Michael, Tobias Kenter, Christian Plessl, & Martin Brehm. (2024). Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy. 26(4). 322–322. 1 indexed citations

Schade, Robert R., Tobias Kenter, Hossam Elgabarty, et al.. (2023). Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics. The International Journal of High Performance Computing Applications. 37(5). 530–538. 9 indexed citations

Schade, Robert R., Tobias Kenter, Hossam Elgabarty, et al.. (2022). Towards electronic structure-based ab-initio molecular dynamics simulations with hundreds of millions of atoms. Parallel Computing. 111. 102920–102920. 27 indexed citations

Lass, Michael, et al.. (2020). Accurate Sampling with Noisy Forces from Approximate Computing. Computation. 8(2). 39–39. 2 indexed citations

Lass, Michael, et al.. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics. 25(2). 564–585. 2 indexed citations

Lass, Michael, et al.. (2017). Efficient Branch and Bound on FPGAs Using Work Stealing and Instance-Specific Designs. ACM Transactions on Reconfigurable Technology and Systems. 10(3). 1–23. 2 indexed citations

10.

Lass, Michael, Thomas D. Kühne, & Christian Plessl. (2017). Using Approximate Computing for the Calculation of Inverse Matrix <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math> </inline-formula>th Roots. IEEE Embedded Systems Letters. 10(2). 33–36. 3 indexed citations

11.

Lass, Michael, et al.. (2016). Confidentiality and Authenticity for Distributed Version Control Systems - A Mercurial Extension. 1–9. 1 indexed citations

12.

Borzı̀, Alfio, Eun‐Jae Park, & Michael Lass. (2015). Multigrid Optimization Methods for the Optimal Control of Convection–Diffusion Problems with Bilinear Control. Journal of Optimization Theory and Applications. 168(2). 510–533. 11 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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