Lars Schneidenbach

427 total citations
14 papers, 182 citations indexed

About

Lars Schneidenbach is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Lars Schneidenbach has authored 14 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 5 papers in Hardware and Architecture and 4 papers in Information Systems. Recurrent topics in Lars Schneidenbach's work include Interconnection Networks and Systems (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Distributed and Parallel Computing Systems (4 papers). Lars Schneidenbach is often cited by papers focused on Interconnection Networks and Systems (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Distributed and Parallel Computing Systems (4 papers). Lars Schneidenbach collaborates with scholars based in Germany, United States and Switzerland. Lars Schneidenbach's co-authors include Christine Böckmann, Detlef Müller, Remo Nessler, Irina Mironova, Eduard Chemyakin, Alexei Kolgotin, Bettina Schnor, Carlos Pérez García‐Pando, David Vicente and J. M. Baldasano and has published in prestigious journals such as Computer Physics Communications, Journal of the Optical Society of America A and Atmospheric measurement techniques.

In The Last Decade

Lars Schneidenbach

14 papers receiving 178 citations

Peers

Lars Schneidenbach

GPC

AS

CNC

HA

IS

Baudouin Raoult United Kingdom

Minsu Joh South Korea

R. Hogue United States

Annette Koontz United States

Javier Vegas-Regidor Spain

P. M. Norris United States

Valentin Clément Switzerland

Miguel Castrillo Spain

Leonidas Linardakis Germany

S. Nikonov United Kingdom

Baudouin Raoult United Kingdom

Lars Schneidenbach

52 ×0.4

GPC

65 ×0.5

AS

24 ×0.8

CNC

13 ×0.7

HA

8 ×0.7

IS

Citations per year, relative to Lars Schneidenbach Lars Schneidenbach (= 1×) peers Baudouin Raoult

Countries citing papers authored by Lars Schneidenbach

Since Specialization

Citations

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

Fields of papers citing papers by Lars Schneidenbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Schneidenbach

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

All Works

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14 of 14 papers shown

1.

Schneidenbach, Lars, et al.. (2024). STRonG: System Topology Risk Analysis on Graphs. 453–464. 1 indexed citations

2.

Schneidenbach, Lars, et al.. (2019). Data broker. 250–260. 2 indexed citations

3.

Checconi, Fabio, et al.. (2017). Data Analytics with NVLink. 89–96. 4 indexed citations

4.

Müller, Detlef, et al.. (2016). Microphysical particle properties derived from inversion algorithms developed in the framework of EARLINET. Atmospheric measurement techniques. 9(10). 5007–5035. 39 indexed citations

5.

Eilemann, Stefan, Fabien Delalondre, Judit Planas, et al.. (2016). Key/Value-Enabled Flash Memory for Complex Scientific Workflows with On-Line Analysis and Visualization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 608–617. 9 indexed citations

6.

García‐Pando, Carlos Pérez, et al.. (2009). Parallel software for retrieval of aerosol distribution from LIDAR data in the framework of EARLINET-ASOS. Computer Physics Communications. 180(11). 2095–2102. 15 indexed citations

7.

Schneidenbach, Lars, et al.. (2008). Self-adapting credit-based server load balancing. 55–62. 2 indexed citations

8.

Fey, Dietmar, et al.. (2008). Challenges of MPI over IPv6. 1908. 242–247. 2 indexed citations

9.

Schneidenbach, Lars & Bettina Schnor. (2007). Design issues in the implementation of MPI2 one sided communication in Ethernet based networks. publish.UP (University of Potsdam). 277–284. 1 indexed citations

10.

Schneidenbach, Lars, et al.. (2006). Loaded: Server Load Balancing for IPv6. 8–8. 3 indexed citations

11.

Schneidenbach, Lars & Bettina Schnor. (2005). Migration of MPI Applications to IPv6 Networks. publish.UP (University of Potsdam). 172–176. 4 indexed citations

12.

Böckmann, Christine, Irina Mironova, Detlef Müller, Lars Schneidenbach, & Remo Nessler. (2005). Microphysical aerosol parameters from multiwavelength lidar. Journal of the Optical Society of America A. 22(3). 518–518. 96 indexed citations

13.

Schneidenbach, Lars, et al.. (2005). SLIBNet : Server Load Balancing for InfiniBand Networks. publish.UP (University of Potsdam). 1 indexed citations

14.

Schneidenbach, Lars, Bettina Schnor, & Stefan Petri. (2004). Architecture and implementation of the socket interface on top of GAMMA. 528–536. 3 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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