Karl Wimmer

434 total citations
28 papers, 124 citations indexed

About

Karl Wimmer is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Karl Wimmer has authored 28 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Karl Wimmer's work include Advancements in Photolithography Techniques (7 papers), Machine Learning and Algorithms (6 papers) and Complexity and Algorithms in Graphs (6 papers). Karl Wimmer is often cited by papers focused on Advancements in Photolithography Techniques (7 papers), Machine Learning and Algorithms (6 papers) and Complexity and Algorithms in Graphs (6 papers). Karl Wimmer collaborates with scholars based in United States, Austria and United Kingdom. Karl Wimmer's co-authors include Ryan O’Donnell, Amir Shpilka, Rocco A. Servedio, Parikshit Gopalan, Eric Blais, Kevin Lucas, Elena Grigorescu, Ning Xie, S. Selberherr and Jeffrey C. Jackson and has published in prestigious journals such as Machine Learning, Journal of Machine Learning Research and SIAM Journal on Computing.

In The Last Decade

Karl Wimmer

24 papers receiving 114 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl Wimmer United States	7	62	57	38	12	11	28	124
Kanstantsin Pashkovich Canada	6	111 1.8×	16 0.3×	49 1.3×	2 0.2×	11 1.0×	18	132
Daniel Mölle Germany	5	106 1.7×	12 0.2×	33 0.9×	6 0.5×	12 1.1×	6	130
Srikanth Srinivasan India	9	165 2.7×	111 1.9×	17 0.4×	3 0.3×	19 1.7×	52	189
Gábor Braun United States	7	99 1.6×	30 0.5×	17 0.4×		11 1.0×	30	149
Massimo Lauria Italy	8	106 1.7×	74 1.3×	4 0.1×	20 1.7×	20 1.8×	34	154
John Steinberger China	6	25 0.4×	32 0.6×	18 0.5×	5 0.4×	8 0.7×	17	69
Ludovic Perret France	6	51 0.8×	101 1.8×	32 0.8×	3 0.3×	3 0.3×	14	111
Christophe Petit Belgium	6	14 0.2×	97 1.7×	20 0.5×	8 0.7×	9 0.8×	23	122
Marion Videau France	3	21 0.3×	81 1.4×	48 1.3×	2 0.2×	13 1.2×	5	93
Gunnar Stålmarck Sweden	5	117 1.9×	92 1.6×	10 0.3×	17 1.4×		6	141

Countries citing papers authored by Karl Wimmer

Since Specialization

Citations

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

Fields of papers citing papers by Karl Wimmer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Wimmer

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

All Works

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20 of 20 papers shown

Canonne, Clément L., Elena Grigorescu, Siyao Guo, Akash Kumar, & Karl Wimmer. (2019). . Theory of Computing. 15(1). 1–55. 3 indexed citations

Cheraghchi, Mahdi, Elena Grigorescu, Brendan Juba, Karl Wimmer, & Ning Xie. (2018). AC0∘MOD2 lower bounds for the Boolean Inner Product. Journal of Computer and System Sciences. 97. 45–59. 5 indexed citations

Blais, Eric, Ryan O’Donnell, & Karl Wimmer. (2018). Polynomial regression under arbitrary product distributions. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 193–204. 1 indexed citations

Cheraghchi, Mahdi, Elena Grigorescu, Brendan Juba, Karl Wimmer, & Ning Xie. (2016). AC^0 o MOD_2 Lower Bounds for the Boolean Inner Product. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 55. 14.

Filmus, Yuval, Hamed Hatami, Steven Heilman, et al.. (2014). Real Analysis in Computer Science: A collection of Open Problems. 3 indexed citations

Wimmer, Karl. (2014). Low Influence Functions over Slices of the Boolean Hypercube Depend on Few Coordinates. 18. 120–131. 4 indexed citations

O’Donnell, Ryan & Karl Wimmer. (2013). KKL, Kruskal--Katona, and Monotone Nets. SIAM Journal on Computing. 42(6). 2375–2399. 10 indexed citations

O’Donnell, Ryan & Karl Wimmer. (2013). Sharpness of KKL on Schreier graphs. Electronic Communications in Probability. 18(none). 3 indexed citations

Gopalan, Parikshit, Ryan O’Donnell, Rocco A. Servedio, Amir Shpilka, & Karl Wimmer. (2011). Testing Fourier Dimensionality and Sparsity. SIAM Journal on Computing. 40(4). 1075–1100. 26 indexed citations

10.

Blais, Eric, Ryan O’Donnell, & Karl Wimmer. (2010). Polynomial regression under arbitrary product distributions. Machine Learning. 80(2-3). 273–294. 10 indexed citations

11.

Wimmer, Karl. (2010). Agnostically Learning under Permutation Invariant Distributions. 9. 113–122. 5 indexed citations

12.

Jackson, Jeffrey C. & Karl Wimmer. (2009). New Results for Random Walk Learning.. Journal of Machine Learning Research. 15(1). 3635–3666. 2 indexed citations

13.

Hobler, G., et al.. (2005). Rta-simulations With the 2-d Process Simulator Promis. 13–14.

14.

Hobler, G., et al.. (2005). Adaptive Grid for Monte Carlo Simulation of Ion Implantation. 32. 231–236.

15.

Lucas, Kevin, et al.. (2005). Investigation of model-based physical design restrictions (Invited Paper). Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5756. 85–85. 8 indexed citations

16.

Lucas, Kevin, et al.. (2002). Monte Carlo method for highly efficient and accurate statistical lithography simulations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4691. 1118–1118. 7 indexed citations

17.

Lucas, Kevin, et al.. (2001). Impact of optimized illumination upon simple lambda-based design rules for low-K 1 lithography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4344. 797–797. 1 indexed citations

18.

Kosina, Hans, Erich Leitner, Christian Pichler, et al.. (1995). The Viennese integrated system for technology CAD applications. Microelectronics Journal. 26(2-3). 137–158. 9 indexed citations

19.

Schrom, G., et al.. (1994). Accurate Simulation of Pattern Transfer Processes Using Minkowski Operations (Special Issue on 1993 VLSI Process and Device Modeling Workshop (VPAD93)). IEICE Transactions on Electronics. 77(2). 92–97. 1 indexed citations

20.

Selberherr, S., et al.. (1991). A new open technology CAD system. Microelectronic Engineering. 15(1-4). 217–220. 1 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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