Astrid Rheinländer

768 total citations · 1 hit paper
11 papers, 446 citations indexed

About

Astrid Rheinländer is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Astrid Rheinländer has authored 11 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Astrid Rheinländer's work include Advanced Database Systems and Queries (6 papers), Cloud Computing and Resource Management (5 papers) and Advanced Data Storage Technologies (3 papers). Astrid Rheinländer is often cited by papers focused on Advanced Database Systems and Queries (6 papers), Cloud Computing and Resource Management (5 papers) and Advanced Data Storage Technologies (3 papers). Astrid Rheinländer collaborates with scholars based in Germany, United States and Italy. Astrid Rheinländer's co-authors include Ulf Leser, Fabian Hueske, Matthias J. Sax, Mathias Peters, Rico Bergmann, Kostas Tzoumas, Arvid Heise, Felix Naumann, Marcus Leich and Volker Markl and has published in prestigious journals such as ACM Computing Surveys, Proceedings of the VLDB Endowment and The VLDB Journal.

In The Last Decade

Astrid Rheinländer

11 papers receiving 426 citations

Hit Papers

The Stratosphere platform for big data analytics 2014 2026 2018 2022 2014 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Stratosphere platform for big data analytics
    2014 258 citations A. Alexandrov, Rico Bergmann et al. The VLDB Journal profile →

Peers

Astrid Rheinländer
Nedyalko Borisov United States
Hannes Mühleisen Netherlands
Andrey Gubarev United States
Arvid Heise Germany
Fabian Hueske Germany
Avrilia Floratou United States
Frances Perry United States
Mohamed Y. Eltabakh United States
Nicola Onose United States
Matthias J. Sax Germany
Nedyalko Borisov United States
Astrid Rheinländer
Citations per year, relative to Astrid Rheinländer Astrid Rheinländer (= 1×) peers Nedyalko Borisov

Countries citing papers authored by Astrid Rheinländer

Since Specialization
Citations

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

Fields of papers citing papers by Astrid Rheinländer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Astrid Rheinländer

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

All Works

11 of 11 papers shown
1.
Rheinländer, Astrid, Ulf Leser, & Goetz Graefe. (2017). Optimization of Complex Dataflows with User-Defined Functions. ACM Computing Surveys. 50(3). 1–39. 26 indexed citations
2.
Rheinländer, Astrid, et al.. (2016). Potential and Pitfalls of Domain-Specific Information Extraction at Web Scale. 759–771. 2 indexed citations
3.
Rheinländer, Astrid, et al.. (2016). PIEJoin. View. 1–12. 8 indexed citations
4.
Rheinländer, Astrid, Arvid Heise, Fabian Hueske, Ulf Leser, & Felix Naumann. (2015). SOFA: An extensible logical optimizer for UDF-heavy data flows. Information Systems. 52. 96–125. 17 indexed citations
5.
Rheinländer, Astrid, et al.. (2014). Versatile optimization of UDF-heavy data flows with sofa. 685–688. 8 indexed citations
6.
Alexandrov, A., Rico Bergmann, Stephan Ewen, et al.. (2014). The Stratosphere platform for big data analytics. The VLDB Journal. 23(6). 939–964. 258 indexed citations breakdown →
7.
Leich, Marcus, et al.. (2013). Applying stratosphere for big data analytics. BTW. 507–510. 9 indexed citations
8.
Heise, Arvid, Astrid Rheinländer, Marcus Leich, Ulf Leser, & Felix Naumann. (2012). Meteor/Sopremo: An Extensible Query Language and Operator Model. 16 indexed citations
9.
Wandelt, Sebastian, et al.. (2012). Data Management Challenges in Next Generation Sequencing. Datenbank-Spektrum. 12(3). 161–171. 19 indexed citations
10.
Hueske, Fabian, Mathias Peters, Matthias J. Sax, et al.. (2012). Opening the black boxes in data flow optimization. Proceedings of the VLDB Endowment. 5(11). 1256–1267. 72 indexed citations
11.
Hakenberg, Jörg, Illés Solt, Domonkos Tikk, et al.. (2009). Molecular event extraction from link grammar parse trees. 86–86. 11 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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