Achim Streit

2.8k total citations
110 papers, 1.1k citations indexed

About

Achim Streit is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Achim Streit has authored 110 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Networks and Communications, 39 papers in Information Systems and 36 papers in Information Systems and Management. Recurrent topics in Achim Streit's work include Distributed and Parallel Computing Systems (52 papers), Scientific Computing and Data Management (36 papers) and Advanced Data Storage Technologies (35 papers). Achim Streit is often cited by papers focused on Distributed and Parallel Computing Systems (52 papers), Scientific Computing and Data Management (36 papers) and Advanced Data Storage Technologies (35 papers). Achim Streit collaborates with scholars based in Germany, Austria and United States. Achim Streit's co-authors include Jie Tao, Lizhe Wang, Rajiv Ranjan, H. Marten, Dan Chen, Jingying Chen, Carsten Ernemann, Ramin Yahyapour, Uwe Schwiegelshohn and Michael A. Smyer and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Proceedings of the IEEE.

In The Last Decade

Achim Streit

101 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Achim Streit Germany 15 654 587 189 185 139 110 1.1k
Zhihui Du China 18 737 1.1× 531 0.9× 244 1.3× 47 0.3× 94 0.7× 135 1.3k
Aaron Harwood Australia 17 609 0.9× 252 0.4× 174 0.9× 27 0.1× 59 0.4× 109 865
Valerie Taylor United States 21 1.0k 1.6× 546 0.9× 87 0.5× 126 0.7× 781 5.6× 123 1.6k
Vladimir Vlassov Sweden 15 591 0.9× 406 0.7× 366 1.9× 31 0.2× 57 0.4× 96 1.1k
John A. Clark United Kingdom 17 467 0.7× 393 0.7× 414 2.2× 16 0.1× 530 3.8× 55 1.5k
Dwight B. Davis 3 326 0.5× 235 0.4× 199 1.1× 21 0.1× 110 0.8× 9 652
Huaiyu Zhu United States 15 200 0.3× 189 0.3× 393 2.1× 21 0.1× 66 0.5× 66 812
Yair Amir United States 27 1.9k 2.9× 423 0.7× 335 1.8× 21 0.1× 254 1.8× 81 2.0k
Ann Chervenak United States 23 3.4k 5.2× 1.6k 2.8× 252 1.3× 1.3k 7.2× 718 5.2× 64 3.7k
Shuhui Chen China 18 424 0.6× 104 0.2× 441 2.3× 25 0.1× 120 0.9× 132 1.1k

Countries citing papers authored by Achim Streit

Since Specialization
Citations

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

Fields of papers citing papers by Achim Streit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achim Streit

This figure shows the co-authorship network connecting the top 25 collaborators of Achim Streit. A scholar is included among the top collaborators of Achim Streit 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 Achim Streit. Achim Streit 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.
Quinting, Julian, et al.. (2024). Architectural insights into and training methodology optimization of Pangu-Weather. Geoscientific model development. 17(23). 8873–8884.
2.
Meyer, J., et al.. (2023). Approximation and Optimization of Global Environmental Simulations with Neural Networks. Repository KITopen (Karlsruhe Institute of Technology). 1–11. 1 indexed citations
3.
Kahn, J., Markus Götz, Yu Hou, et al.. (2023). Thermal Bridges on Building Rooftops. Scientific Data. 10(1). 4 indexed citations
4.
Bazarova, Alina, Achim Basermann, Achim Streit, et al.. (2023). RNA contact prediction by data efficient deep learning. Communications Biology. 6(1). 913–913. 3 indexed citations
5.
Piraud, Marie, et al.. (2023). Reporting electricity consumption is essential for sustainable AI. Nature Machine Intelligence. 5(11). 1176–1178. 22 indexed citations
6.
Götz, Markus, et al.. (2022). Accelerating neural network training with distributed asynchronous and selective optimization (DASO). Journal Of Big Data. 9(1). 5 indexed citations
7.
Kahn, J., G. Dujany, P. Goldenzweig, et al.. (2022). Learning tree structures from leaves for particle decay reconstruction. Machine Learning Science and Technology. 3(3). 35012–35012. 5 indexed citations
8.
Eberl, Christoph, Erik Bitzek, Tim Dahmen, et al.. (2021). Consortium Proposal NFDI-MatWerk. Zenodo (CERN European Organization for Nuclear Research).
9.
Berghoff, Marco, et al.. (2021). On GPU optimizations of stencil codes for highly parallel simulations. 228–235.
10.
Kaczmirek, Lars, et al.. (2020). EOSC-Pillar D3.1 Summary report of the EOSC-Pillar National Initiatives Survey. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
11.
Götz, Markus, et al.. (2020). HeAT – a Distributed and GPU-accelerated Tensor Framework for Data Analytics. Repository KITopen (Karlsruhe Institute of Technology). 276–287. 4 indexed citations
12.
Meyer, J., et al.. (2015). A Horizontally-Scalable Multiprocessing Platform Based on Node.js. 2015 IEEE Trustcom/BigDataSE/ISPA. 100–107. 5 indexed citations
13.
Grabowski, Udo, et al.. (2014). On the Application and Performance of MongoDB for Climate Satellite Data. 652–659. 9 indexed citations
14.
Becker, Daniel & Achim Streit. (2014). A Neural Network Based Pre-Selection of Big Data in Photon Science. 2. 71–76. 3 indexed citations
15.
Tao, Jie, et al.. (2012). Simulation-based Evaluation of an Intercloud Service Broker. 35(2). 140–145. 14 indexed citations
16.
Tao, Jie, et al.. (2011). A Workflow Engine for Computing Clouds. 1–6. 3 indexed citations
17.
Gentzsch, Wolfgang, Hermann Lederer, Gavin J. Pringle, et al.. (2010). DEISA: E-Science in a collaborative, secure, interoperable and user-friendly environment. Max Planck Institute for Plasma Physics. 1–10. 1 indexed citations
18.
Riedel, Morris, Achim Streit, Thomas Lippert, Felix Wolf, & Dieter Kranzlmüller. (2010). Towards individually formed computing infrastructures with High Throughput and High Performance Computing resources of large-scale Grid and e-Science infrastructures. RWTH Publications (RWTH Aachen). 192–197. 4 indexed citations
19.
Riedel, Morris, et al.. (2006). A DRMAA-based target system interface framework for UNICORE. 20. 6 pp.–6 pp.. 1 indexed citations
20.
Smyer, Michael A., D. G. Shea, & Achim Streit. (1994). The provision and use of mental health services in nursing homes: results from the National Medical Expenditure Survey.. American Journal of Public Health. 84(2). 284–287. 45 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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