Fabian Dill is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management.
According to data from OpenAlex, Fabian Dill has authored 4 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Information Systems and 2 papers in Information Systems and Management. Recurrent topics in Fabian Dill's work include Data Mining Algorithms and Applications (2 papers), Scientific Computing and Data Management (2 papers) and Advanced Database Systems and Queries (2 papers). Fabian Dill is often cited by papers focused on Data Mining Algorithms and Applications (2 papers), Scientific Computing and Data Management (2 papers) and Advanced Database Systems and Queries (2 papers). Fabian Dill collaborates with scholars based in Germany. Fabian Dill's co-authors include Michael R. Berthold, Kilian Thiel, Tobias Kötter, Nicolas Cebron, Thomas R. Gabriel, Thorsten Meinl and Bernd Wiswedel and has published in prestigious journals such as KOPS (University of Konstanz), CentAUR (University of Reading) and ACM SIGKDD Explorations Newsletter.
In The Last Decade
Fabian Dill
4 papers
receiving
856 citations
Hit Papers
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.
KNIME - the Konstanz information miner
2009775 citationsMichael R. Berthold, Nicolas Cebron et al.ACM SIGKDD Explorations Newsletterprofile →
Citations per year, relative to Fabian Dill Fabian Dill (= 1×)
peers
Thomas R. Gabriel
Countries citing papers authored by Fabian Dill
Since
Specialization
Citations
This map shows the geographic impact of Fabian Dill'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 Fabian Dill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Dill more than expected).
This network shows the impact of papers produced by Fabian Dill. 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 Fabian Dill. The network helps show where Fabian Dill may publish in the future.
Co-authorship network of co-authors of Fabian Dill
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Dill.
A scholar is included among the top collaborators of Fabian Dill 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 Fabian Dill. Fabian Dill is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
4 of 4 papers shown
1.
Berthold, Michael R., Nicolas Cebron, Fabian Dill, et al.. (2009). KNIME - the Konstanz information miner. ACM SIGKDD Explorations Newsletter. 11(1). 26–31.775 indexed citations breakdown →
2.
Meinl, Thorsten, Nicolas Cebron, Thomas R. Gabriel, et al.. (2009). The Konstanz Information Miner 2.0. KOPS (University of Konstanz).2 indexed citations
3.
Thiel, Kilian, Fabian Dill, Tobias Kötter, & Michael R. Berthold. (2007). Towards Visual Exploration of Topic Shifts. KOPS (University of Konstanz). 13. 522–527.6 indexed citations
4.
Berthold, Michael R., Nicolas Cebron, Fabian Dill, et al.. (2006). KNIME: The Konstanz Information Miner. CentAUR (University of Reading).112 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
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