Dana Van Aken

10 total papers · 1.2k total citations
10 papers, 797 citations indexed

About

Dana Van Aken is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Dana Van Aken has authored 10 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Dana Van Aken's work include Advanced Database Systems and Queries (6 papers), Cloud Computing and Resource Management (4 papers) and Software System Performance and Reliability (3 papers). Dana Van Aken is often cited by papers focused on Advanced Database Systems and Queries (6 papers), Cloud Computing and Resource Management (4 papers) and Software System Performance and Reliability (3 papers). Dana Van Aken collaborates with scholars based in United States, China and Singapore. Dana Van Aken's co-authors include Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang, Lin Ma, Ahmed Hefny, Michael Stonebraker, Prashanth Menon, Dongsheng Yang, Matthew Perron and Lin Ma and has published in prestigious journals such as Proceedings of the VLDB Endowment, Operating Systems Design and Implementation and Conference on Innovative Data Systems Research.

In The Last Decade

Dana Van Aken

10 papers receiving 755 citations

Hit Papers

Automatic Database Manage... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Dana Van Aken 629 437 298 172 82 10 797
Franz Färber 806 1.3× 406 0.9× 211 0.7× 216 1.3× 157 1.9× 20 957
Sam Lightstone 658 1.0× 413 0.9× 203 0.7× 193 1.1× 111 1.4× 35 832
Jean Paoli 498 0.8× 407 0.9× 480 1.6× 138 0.8× 40 0.5× 7 1.0k
YongChul Kwon 736 1.2× 649 1.5× 181 0.6× 181 1.1× 77 0.9× 24 919
Allan Heydon 388 0.6× 515 1.2× 254 0.9× 157 0.9× 76 0.9× 20 844
Parag Agrawal 598 1.0× 421 1.0× 134 0.4× 140 0.8× 157 1.9× 20 746
Walker White 589 0.9× 327 0.7× 246 0.8× 330 1.9× 30 0.4× 26 840
Robert Griesemer 702 1.1× 449 1.0× 157 0.5× 62 0.4× 166 2.0× 13 839
Theo Haerder 859 1.4× 292 0.7× 144 0.5× 112 0.7× 171 2.1× 4 959
Maosong Fu 851 1.4× 652 1.5× 324 1.1× 172 1.0× 62 0.8× 6 1.0k

Countries citing papers authored by Dana Van Aken

Since Specialization
Citations

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

Fields of papers citing papers by Dana Van Aken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana Van Aken. 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 Dana Van Aken. The network helps show where Dana Van Aken may publish in the future.

Co-authorship network of co-authors of Dana Van Aken

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Van Aken. A scholar is included among the top collaborators of Dana Van Aken 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 Dana Van Aken. Dana Van Aken 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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