Jan S. Rellermeyer

732 total citations
26 papers, 278 citations indexed

About

Jan S. Rellermeyer is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jan S. Rellermeyer has authored 26 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 8 papers in Information Systems. Recurrent topics in Jan S. Rellermeyer's work include Software System Performance and Reliability (8 papers), Data Stream Mining Techniques (5 papers) and Cloud Computing and Resource Management (4 papers). Jan S. Rellermeyer is often cited by papers focused on Software System Performance and Reliability (8 papers), Data Stream Mining Techniques (5 papers) and Cloud Computing and Resource Management (4 papers). Jan S. Rellermeyer collaborates with scholars based in Netherlands, Germany and Switzerland. Jan S. Rellermeyer's co-authors include Gustavo Alonso, Saurabh Bagchi, Amiya K. Maji, Luís Cruz, Arie van Deursen, Rene Mueller, Timothy Roscoe, Aaron Yi Ding, Jörg Ott and Atakan Aral and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, IEEE Transactions on Parallel and Distributed Systems and IEEE Internet Computing.

In The Last Decade

Jan S. Rellermeyer

21 papers receiving 257 citations

Peers

Countries citing papers authored by Jan S. Rellermeyer

Since Specialization

Citations

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

Fields of papers citing papers by Jan S. Rellermeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan S. Rellermeyer. 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 Jan S. Rellermeyer. The network helps show where Jan S. Rellermeyer may publish in the future.

Co-authorship network of co-authors of Jan S. Rellermeyer

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum 2025 ·IEEE Internet Computing ·Ella Peltonen, Suzan Bayhan, David Bermbach, (unknown), Viktoriya Degeler, Aaron Yi Ding, Özlem Durmaz İncel, (unknown), (unknown), Sam Leroux, Toktam Mahmoodi, Zoltán Ádám Mann, Nirvana Meratnia, Andy D. Pimentel, Jan S. Rellermeyer, Étienne Rivière, (unknown), Gürkan Solmaz, (unknown)	0
2	Improving the Reliability of Failure Prediction Models through Concept Drift Monitoring 2025 ·(unknown), Luís Cruz, Jan S. Rellermeyer, Arie van Deursen	0
3	Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy 2025 ·Socio-Environmental Systems Modeling ·(unknown), June Sallou, Luís Cruz, Jan S. Rellermeyer, Arie van Deursen	0
4	Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World 2024 ·(unknown), (unknown), Luís Cruz, Jan S. Rellermeyer, Arie van Deursen	2
5	Maintaining and Monitoring AIOps Models Against Concept Drift 2023 ·Research Repository (Delft University of Technology) ·(unknown), Luís Cruz, Jan S. Rellermeyer, Arie van Deursen	4
6	Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques 2023 ·Research Repository (Delft University of Technology) ·(unknown), June Sallou, Luís Cruz, Jan S. Rellermeyer, Arie van Deursen	7
7	Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study 2022 ·2022 IEEE International Conference on Big Data (Big Data) ·(unknown), Luís Cruz, Arie van Deursen, Jan S. Rellermeyer	10
8	Roadmap for edge AI 2022 ·ACM SIGCOMM Computer Communication Review ·Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, (unknown), Dieter Kranzlmüller, Madhusanka Liyanage, Setareh Maghsudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars Wolf	40
9	Systematic Mapping Study on the Machine Learning Lifecycle 2021 ·Research Repository (Delft University of Technology) ·(unknown), Luís Cruz, (unknown), Jan S. Rellermeyer	8
10	SGD_Tucker: A Novel Stochastic Optimization Strategy for Scalable Parallel Sparse Tucker Decomposition 2020 ·IEEE Transactions on Parallel and Distributed Systems ·(unknown), Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li	8
11	Self-adaptive Executors for Big Data Processing 2019 ·Research Repository (Delft University of Technology) ·(unknown), Jan S. Rellermeyer, Dick Epema	5
12	ETX'14 2014 ·Research Repository (Delft University of Technology) ·Jan S. Rellermeyer, Tim Verbelen	0
13	Cloud platforms and embedded computing 2013 ·Research Repository (Delft University of Technology) ·Jan S. Rellermeyer, (unknown), Michael Kistler	2
14	An empirical study of the robustness of Inter-component Communication in Android 2012 ·Amiya K. Maji, (unknown), Saurabh Bagchi, Jan S. Rellermeyer	70
15	Engineering the cloud from software modules 2009 ·Jan S. Rellermeyer, (unknown), Gustavo Alonso	22
16	Consistently applying updates to compositions of distributed OSGi modules 2008 ·Research Repository (Delft University of Technology) ·Jan S. Rellermeyer, (unknown), Gustavo Alonso	4
17	Demo: A Generic Platform for Sensor Network Applications 2007 ·Research Repository (Delft University of Technology) ·Rene Mueller, Jan S. Rellermeyer, (unknown), Gustavo Alonso	14
18	A dynamic and flexible sensor network platform 2007 ·Rene Mueller, Jan S. Rellermeyer, (unknown), Gustavo Alonso, Donald Kossmann	1
19	Concierge 2007 ·ACM SIGOPS Operating Systems Review ·Jan S. Rellermeyer, Gustavo Alonso	15
20	Ready for distribution? 2007 ·Research Repository (Delft University of Technology) ·Jan S. Rellermeyer, Gustavo Alonso, Timothy Roscoe	1

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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