Gero Mühl

3.1k total citations
76 papers, 1.5k citations indexed

About

Gero Mühl is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Gero Mühl has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Networks and Communications, 22 papers in Information Systems and 19 papers in Artificial Intelligence. Recurrent topics in Gero Mühl's work include Peer-to-Peer Network Technologies (24 papers), Caching and Content Delivery (23 papers) and Distributed systems and fault tolerance (17 papers). Gero Mühl is often cited by papers focused on Peer-to-Peer Network Technologies (24 papers), Caching and Content Delivery (23 papers) and Distributed systems and fault tolerance (17 papers). Gero Mühl collaborates with scholars based in Germany, United States and United Kingdom. Gero Mühl's co-authors include Michael C. Jaeger, Ludger Fiege, Helge Parzyjegla, Peter Pietzuch, Dirk Timmermann, Klaus Herrmann, Peter Danielis, Eike Schweissguth, Felix Gärtner and Alejandro Buchmann and has published in prestigious journals such as IEEE Internet Computing, IEEE Pervasive Computing and Pervasive and Mobile Computing.

In The Last Decade

Gero Mühl

68 papers receiving 1.4k citations

Peers

Gero Mühl
S. Masoud Sadjadi United States
Xiaoying Bai China
Shikharesh Majumdar Canada
Scott Graham United States
Kurt Geihs Germany
Naranker Dulay United Kingdom
Letizia Leonardi Italy
Bobby Woolf United States
Jean‐Marc Jezéquél France
Iván Porres Finland
S. Masoud Sadjadi United States
Gero Mühl
Citations per year, relative to Gero Mühl Gero Mühl (= 1×) peers S. Masoud Sadjadi

Countries citing papers authored by Gero Mühl

Since Specialization
Citations

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

Fields of papers citing papers by Gero Mühl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gero Mühl

This figure shows the co-authorship network connecting the top 25 collaborators of Gero Mühl. A scholar is included among the top collaborators of Gero Mühl 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 Gero Mühl. Gero Mühl 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.
Golatowski, Frank, et al.. (2024). An Online Scheduler for Reconfigurable Time-Sensitive Networks. 1–8. 1 indexed citations
2.
Parzyjegla, Helge, et al.. (2020). Stitching Notification Distribution Trees for Content-based Publish/Subscribe with P4. 100–104. 1 indexed citations
3.
Schweissguth, Eike, Dirk Timmermann, Helge Parzyjegla, Peter Danielis, & Gero Mühl. (2020). ILP-Based Routing and Scheduling of Multicast Realtime Traffic in Time-Sensitive Networks. 1–11. 41 indexed citations
4.
Parzyjegla, Helge, et al.. (2016). Load-aware scheduling for heterogeneous multi-core systems. 1844–1851. 4 indexed citations
5.
Mühl, Gero, et al.. (2012). Operating system support for dynamic over-provisioning of solid state drives. 1753–1758. 2 indexed citations
6.
Mühl, Gero, et al.. (2010). A Scheduling Approach for Efficient Utilization of Hardware-Driven Frequency Scaling.. 367–376. 2 indexed citations
7.
Mühl, Gero, et al.. (2009). Towards Energy-Aware Multi-Core Scheduling. DepositOnce. 3 indexed citations
8.
Herrmann, Klaus, et al.. (2007). MESHMdl event spaces — A coordination middleware for self-organizing applications in ad hoc networks. Pervasive and Mobile Computing. 3(4). 467–487. 8 indexed citations
9.
Herrmann, Klaus, et al.. (2006). A Methodology for Classifying Self-Organizing Software Systems.. 2. 41–50. 5 indexed citations
10.
Fiege, Ludger, Mariano Cilia, Gero Mühl, & Alejandro Buchmann. (2006). Publish-Subscribe Grows Up. 3 indexed citations
11.
Mühl, Gero, et al.. (2005). How to Configure Proof-of-Work Functions to Stop Spam.. 165–174. 2 indexed citations
12.
13.
Jaeger, Michael C., et al.. (2005). Ranked Matching for Service Descriptions using OWL-S. 47 indexed citations
14.
Jaeger, Michael C., et al.. (2005). QoS Aggregation in Web Service Compositions. 181–185. 72 indexed citations
15.
Jaeger, Michael C., et al.. (2004). QoS aggregation for Web service composition using workflow patterns. 149–159. 250 indexed citations
16.
Mühl, Gero, Ludger Fiege, Felix Gärtner, & Alejandro Buchmann. (2003). Evaluating advanced routing algorithms for content-based publish/subscribe systems. 167–176. 45 indexed citations
17.
Fiege, Ludger, Mira Mezini, Gero Mühl, & Alejandro Buchmann. (2002). Engineering Event-Based Systems with Scopes. 18 indexed citations
18.
Fiege, Ludger, Gero Mühl, & Felix Gärtner. (2002). Modular event-based systems. The Knowledge Engineering Review. 17(4). 359–388. 27 indexed citations
19.
Fiege, Ludger, Gero Mühl, & Felix Gärtner. (2002). A modular approach to build structured event-based systems. 2 indexed citations
20.
Fiege, Ludger, Gero Mühl, & Alejandro Buchmann. (2001). An Architectural Framework for Electronic Commerce Applications. 13 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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