Lauritz Thamsen

776 total citations
51 papers, 247 citations indexed

About

Lauritz Thamsen is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Lauritz Thamsen has authored 51 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Networks and Communications, 41 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Lauritz Thamsen's work include Cloud Computing and Resource Management (38 papers), Distributed and Parallel Computing Systems (19 papers) and IoT and Edge/Fog Computing (14 papers). Lauritz Thamsen is often cited by papers focused on Cloud Computing and Resource Management (38 papers), Distributed and Parallel Computing Systems (19 papers) and IoT and Edge/Fog Computing (14 papers). Lauritz Thamsen collaborates with scholars based in Germany, United Kingdom and Italy. Lauritz Thamsen's co-authors include Odej Kao, Florian Schmidt, Asterios Katsifodimos, Volker Markl, A. Alexandrov, J. Müller, Sasho Nedelkoski, Sören Becker, Robert Hirschfeld and Henning Meyerhenke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainable Cities and Society and Future Generation Computer Systems.

In The Last Decade

Lauritz Thamsen

47 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauritz Thamsen Germany 9 192 173 52 48 28 51 247
Andres Quiroz United States 9 285 1.5× 250 1.4× 69 1.3× 19 0.4× 27 1.0× 18 320
Dharmesh Kakadia India 6 228 1.2× 213 1.2× 36 0.7× 14 0.3× 17 0.6× 7 274
Ionel Gog United States 5 300 1.6× 255 1.5× 32 0.6× 31 0.6× 67 2.4× 6 350
Riccardo Pinciroli Italy 8 191 1.0× 142 0.8× 57 1.1× 13 0.3× 18 0.6× 26 273
Thijs Metsch Germany 9 251 1.3× 203 1.2× 28 0.5× 35 0.7× 12 0.4× 27 303
Chengzhi Lu China 7 331 1.7× 298 1.7× 64 1.2× 11 0.2× 27 1.0× 14 383
Shadi A. Noghabi United States 8 256 1.3× 187 1.1× 61 1.2× 19 0.4× 16 0.6× 15 325
Rafael Tolosana‐Calasanz Spain 9 229 1.2× 177 1.0× 33 0.6× 61 1.3× 7 0.3× 22 282
Amelie Chi Zhou China 9 193 1.0× 190 1.1× 50 1.0× 68 1.4× 17 0.6× 17 257
Zhifeng Yu United States 9 234 1.2× 221 1.3× 34 0.7× 75 1.6× 41 1.5× 18 340

Countries citing papers authored by Lauritz Thamsen

Since Specialization
Citations

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

Fields of papers citing papers by Lauritz Thamsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauritz Thamsen

This figure shows the co-authorship network connecting the top 25 collaborators of Lauritz Thamsen. A scholar is included among the top collaborators of Lauritz Thamsen 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 Lauritz Thamsen. Lauritz Thamsen 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.
Thamsen, Lauritz, et al.. (2024). Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. arXiv (Cornell University). 370–381.
2.
Park, Sangyoung, Lauritz Thamsen, Franz Tscheikner-Gratl, et al.. (2024). Coupled simulation of urban water networks and interconnected critical urban infrastructure systems: A systematic review and multi-sector research agenda. Sustainable Cities and Society. 104. 105283–105283. 2 indexed citations
3.
Thamsen, Lauritz, et al.. (2023). Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures. Future Generation Computer Systems. 150. 171–185. 6 indexed citations
4.
Thamsen, Lauritz, et al.. (2023). Towards a real-time IoT: Approaches for incoming packet processing in cyber–physical systems. Journal of Systems Architecture. 140. 102891–102891. 4 indexed citations
5.
Thamsen, Lauritz, et al.. (2023). Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 403–412. 1 indexed citations
6.
Thamsen, Lauritz, et al.. (2022). Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. 2022 IEEE International Conference on Big Data (Big Data). 161–169. 4 indexed citations
7.
Kao, Odej, et al.. (2022). Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. 2022 IEEE International Conference on Big Data (Big Data). 4583–4588. 1 indexed citations
8.
Hacid, Hakim, Monther Aldwairi, Mohamed Reda Bouadjenek, et al.. (2022). Service-Oriented Computing – ICSOC 2021 Workshops. Lecture notes in computer science. 7 indexed citations
9.
Thamsen, Lauritz, et al.. (2022). Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 150–159. 5 indexed citations
10.
Thamsen, Lauritz, et al.. (2022). A priority-aware multiqueue NIC design for real-time IoT devices. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 534–538. 3 indexed citations
11.
Kao, Odej, et al.. (2022). Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 198–207. 3 indexed citations
12.
Ferrer, Ana Juan, Sören Becker, Florian Schmidt, Lauritz Thamsen, & Odej Kao. (2021). Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 11 indexed citations
13.
Thamsen, Lauritz, et al.. (2021). Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. 2021 IEEE International Conference on Big Data (Big Data). 65–75. 13 indexed citations
14.
Thamsen, Lauritz, et al.. (2020). Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 434–440. 3 indexed citations
15.
Thamsen, Lauritz, et al.. (2017). Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 145–152. 8 indexed citations
16.
Thamsen, Lauritz, et al.. (2017). SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 38. 156–163. 2 indexed citations
17.
Müller, J., et al.. (2017). Addressing Hadoop's Small File Problem With an Appendable Archive File Format. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 367–372. 8 indexed citations
18.
Thamsen, Lauritz, et al.. (2016). CoLoc: Distributed data and container colocation for data-intensive applications. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 8 indexed citations
19.
Lincke, Jens, et al.. (2015). Lively groups: shared behavior in a world of objects without classes or prototypes. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 15–22. 3 indexed citations
20.
Thamsen, Lauritz, et al.. (2012). Orca: A Single-Language Web Framework for Collaborative Development. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 45–52. 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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