Christoph Heidecker

2.0k total citations
10 papers, 22 citations indexed

About

Christoph Heidecker is a scholar working on Computer Networks and Communications, Information Systems and Management and Hardware and Architecture. According to data from OpenAlex, Christoph Heidecker has authored 10 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Information Systems and Management and 4 papers in Hardware and Architecture. Recurrent topics in Christoph Heidecker's work include Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (7 papers) and Scientific Computing and Data Management (5 papers). Christoph Heidecker is often cited by papers focused on Distributed and Parallel Computing Systems (10 papers), Advanced Data Storage Technologies (7 papers) and Scientific Computing and Data Management (5 papers). Christoph Heidecker collaborates with scholars based in Germany and Czechia. Christoph Heidecker's co-authors include M. Giffels, R. F. Von Cube, G. Quast, Max Fischer, A. Heiss, Andreas Petzold, René Caspart, M. Schnepf and Andrew Heiss and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and Universitätsbibliothek Tübingen.

In The Last Decade

Christoph Heidecker

10 papers receiving 22 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christoph Heidecker Germany	3	22	10	10	3	1	10	22
R. F. Von Cube Germany	4	24 1.1×	12 1.2×	9 0.9×	3 1.0×	2 2.0×	12	24
Debbie Bard United States	3	19 0.9×	6 0.6×	8 0.8×	2 0.7×	1 1.0×	3	22
K Larson United States	3	26 1.2×	14 1.4×	9 0.9×	3 1.0×	2 2.0×	6	26
K. Hurtado Anampa United States	3	22 1.0×	17 1.7×	6 0.6×	2 0.7×	1 1.0×	12	22
M. Zvada United States	4	32 1.5×	13 1.3×	8 0.8×	3 1.0×	2 2.0×	12	37
A. Oh Switzerland	2	18 0.8×	8 0.8×	5 0.5×	4 1.3×	1 1.0×	3	19
C. Caramarcu United States	4	18 0.8×	9 0.9×	9 0.9×	6 2.0×	2 2.0×	9	22
T. Harenberg Germany	3	15 0.7×	8 0.8×	5 0.5×	3 1.0×	2 2.0×	7	16
Christoph Wissing United States	2	15 0.7×	7 0.7×	4 0.4×	3 1.0×	2 2.0×	7	16
D. Andreotti Italy	3	14 0.6×	6 0.6×	8 0.8×	2 0.7×	2 2.0×	5	16

Countries citing papers authored by Christoph Heidecker

Since Specialization

Citations

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

Fields of papers citing papers by Christoph Heidecker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Heidecker

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

All Works

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10 of 10 papers shown

Heidecker, Christoph, et al.. (2020). Boosting Performance of Data-intensive Analysis Workflows with Distributed Coordinated Caching. Journal of Physics Conference Series. 1525(1). 12065–12065. 1 indexed citations

Caspart, René, Max Fischer, M. Giffels, et al.. (2020). Setup and commissioning of a high-throughput analysis cluster. SHILAP Revista de lepidopterología. 245. 7007–7007. 2 indexed citations

Cube, R. F. Von, Christoph Heidecker, Max Fischer, et al.. (2020). HEP Analyses on Dynamically Allocated Opportunistic Computing Resources. Journal of Physics Conference Series. 1525(1). 12067–12067. 1 indexed citations

Cube, R. F. Von, et al.. (2020). Federation of compute resources available to the German CMS community. Journal of Physics Conference Series. 1525(1). 12055–12055. 1 indexed citations

Caspart, René, Max Fischer, M. Giffels, et al.. (2019). Advancing throughput of HEP analysis work-flows using caching concepts. SHILAP Revista de lepidopterología. 214. 4007–4007. 5 indexed citations

Heidecker, Christoph, et al.. (2019). Dynamic Resource Extension for Data Intensive Computing with Specialized Software Environments on HPC Systems. Universitätsbibliothek Tübingen. 159. 4 indexed citations

Cube, R. F. Von, Max Fischer, M. Giffels, et al.. (2019). Dynamic Integration and Management of Opportunistic Resources for HEP. SHILAP Revista de lepidopterología. 214. 8009–8009. 4 indexed citations

Heidecker, Christoph, et al.. (2018). Provisioning of data locality for HEP analysis workflows. Journal of Physics Conference Series. 1085. 32005–32005. 2 indexed citations

Heidecker, Christoph, Max Fischer, M. Giffels, et al.. (2018). Mastering Opportunistic Computing Resources for HEP. Journal of Physics Conference Series. 1085. 32056–32056. 1 indexed citations

10.

Fischer, Max, Christoph Heidecker, G. Quast, et al.. (2017). Opportunistic data locality for end user data analysis. Journal of Physics Conference Series. 898. 52034–52034. 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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