Dietmar Ebner

2.1k total citations · 2 hit papers
12 papers, 1.2k citations indexed

About

Dietmar Ebner is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Dietmar Ebner has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 5 papers in Computer Networks and Communications and 5 papers in Information Systems and Management. Recurrent topics in Dietmar Ebner's work include Parallel Computing and Optimization Techniques (8 papers), Scientific Computing and Data Management (5 papers) and Logic, programming, and type systems (3 papers). Dietmar Ebner is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Scientific Computing and Data Management (5 papers) and Logic, programming, and type systems (3 papers). Dietmar Ebner collaborates with scholars based in Austria, United States and Australia. Dietmar Ebner's co-authors include Eugene Davydov, Gary D. Holt, Michael Young, Todd Phillips, D. Sculley, Daniel Golovin, H. Brendan McMahan, Dan Liu, Lan Nie and Sharat Chikkerur and has published in prestigious journals such as ACM SIGPLAN Notices, The International Journal of High Performance Computing Applications and Discrete Optimization.

In The Last Decade

Dietmar Ebner

11 papers receiving 1.0k citations

Hit Papers

Ad click prediction 2013 2026 2017 2021 2013 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dietmar Ebner Austria 7 532 420 215 207 185 12 1.2k
Todd Phillips United States 8 528 1.0× 417 1.0× 225 1.0× 204 1.0× 184 1.0× 17 1.2k
Sebastian Schelter Netherlands 18 653 1.2× 539 1.3× 206 1.0× 408 2.0× 301 1.6× 68 1.4k
Giuseppe Manco Italy 19 592 1.1× 526 1.3× 121 0.6× 255 1.2× 167 0.9× 95 1.5k
Djamal Benslimane France 17 474 0.9× 719 1.7× 130 0.6× 433 2.1× 79 0.4× 98 1.1k
Mohsen Kahani Iran 16 749 1.4× 540 1.3× 130 0.6× 693 3.3× 88 0.5× 99 1.5k
Zhongjie Wang China 19 486 0.9× 582 1.4× 127 0.6× 500 2.4× 40 0.2× 177 1.2k
R. H. Goudar India 14 313 0.6× 473 1.1× 132 0.6× 401 1.9× 115 0.6× 105 1.2k
Hai Dong Australia 19 448 0.8× 827 2.0× 85 0.4× 574 2.8× 208 1.1× 122 1.4k
Ye Chen China 19 392 0.7× 242 0.6× 234 1.1× 192 0.9× 151 0.8× 78 1.1k

Countries citing papers authored by Dietmar Ebner

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Ebner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Ebner

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

All Works

12 of 12 papers shown
1.
Sculley, D., Gary D. Holt, Daniel Golovin, et al.. (2015). Hidden technical debt in Machine learning systems. Neural Information Processing Systems. 28. 2503–2511. 450 indexed citations breakdown →
2.
Sculley, D., Gary D. Holt, Daniel Golovin, et al.. (2014). Machine Learning: The High Interest Credit Card of Technical Debt. 125 indexed citations
3.
McMahan, H. Brendan, Gary D. Holt, D. Sculley, et al.. (2013). Ad click prediction. 1222–1230. 509 indexed citations breakdown →
4.
Ebner, Dietmar, et al.. (2013). Cross-language Babel structs—making scientific interfaces more efficient. 6(1). 14004–14004.
5.
Epperly, T, et al.. (2011). High-performance language interoperability for scientific computing through Babel. The International Journal of High Performance Computing Applications. 26(3). 260–274. 17 indexed citations
6.
Ebner, Dietmar & T Epperly. (2010). Fast native function calls for the Babel language interoperability framework. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 329–338. 1 indexed citations
7.
Ebner, Dietmar, Bernhard Scholz, & Andreas Krall. (2009). Progressive spill code placement. 77–86. 4 indexed citations
8.
Ebner, Dietmar, et al.. (2008). Generalized instruction selection using SSA -graphs. 31–40. 13 indexed citations
9.
Ebner, Dietmar, et al.. (2008). Generalized instruction selection using SSA -graphs. ACM SIGPLAN Notices. 43(7). 31–40. 3 indexed citations
10.
Buchheim, Christoph, Markus Chimani, Dietmar Ebner, et al.. (2007). A branch-and-cut approach to the crossing number problem. Discrete Optimization. 5(2). 373–388. 18 indexed citations
11.
Brandner, Florian, Dietmar Ebner, & Andreas Krall. (2007). Compiler generation from structural architecture descriptions. 13–22. 10 indexed citations
12.
Ebner, Dietmar, Florian Brandner, & Andreas Krall. (2007). Leveraging Predicated Execution for Multimedia Processing. 27. 85–90. 2 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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