Annette Bieniusa

75 total papers · 599 total citations
21 papers, 90 citations indexed

About

Annette Bieniusa is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Annette Bieniusa has authored 21 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Annette Bieniusa's work include Distributed systems and fault tolerance (16 papers), Advanced Data Storage Technologies (7 papers) and Parallel Computing and Optimization Techniques (6 papers). Annette Bieniusa is often cited by papers focused on Distributed systems and fault tolerance (16 papers), Advanced Data Storage Technologies (7 papers) and Parallel Computing and Optimization Techniques (6 papers). Annette Bieniusa collaborates with scholars based in Germany, Portugal and United States. Annette Bieniusa's co-authors include Thomas Fuhrmann, Peter Thiemann, João Leitão, Nuno Preguiça, Michael Sperber, Frank Elberzhager, Carla Ferreira, Valter Balegas and Mira Mezini and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and FreiDok plus (Universitätsbibliothek Freiburg).

In The Last Decade

Annette Bieniusa

21 papers receiving 80 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Annette Bieniusa 59 27 20 19 15 21 90
Louis Mandel 36 0.6× 25 0.9× 15 0.8× 48 2.5× 13 0.9× 22 104
J. B. Johnston 55 0.9× 29 1.1× 68 3.4× 104 5.5× 18 1.2× 25 213
Konstantin Shagin 69 1.2× 27 1.0× 27 1.4× 20 1.1× 6 0.4× 14 87
Lukas Renggli 52 0.9× 79 2.9× 17 0.8× 63 3.3× 27 1.8× 16 113
Silvia Lizeth Tapia Tarifa 46 0.8× 34 1.3× 21 1.1× 37 1.9× 11 0.7× 19 80
Klaus-Tycho Förster 215 3.6× 69 2.6× 17 0.8× 15 0.8× 6 0.4× 15 249
João Costa Seco 30 0.5× 43 1.6× 6 0.3× 55 2.9× 21 1.4× 26 93
Hugo Pacheco 35 0.6× 68 2.5× 8 0.4× 69 3.6× 63 4.2× 20 127
Aman Goel 73 1.2× 19 0.7× 22 1.1× 28 1.5× 9 0.6× 14 113
Jean-Charles Fabre 83 1.4× 63 2.3× 19 0.9× 45 2.4× 16 1.1× 19 115

Countries citing papers authored by Annette Bieniusa

Since Specialization
Citations

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

Fields of papers citing papers by Annette Bieniusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annette Bieniusa

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

All Works

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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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