Keno Fischer

27 total papers · 478 total citations
5 papers, 72 citations indexed

About

Keno Fischer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Keno Fischer has authored 5 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Computational Mechanics. Recurrent topics in Keno Fischer's work include Algorithms and Data Compression (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Catalysts for Methane Reforming (1 paper). Keno Fischer is often cited by papers focused on Algorithms and Data Compression (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Catalysts for Methane Reforming (1 paper). Keno Fischer collaborates with scholars based in United States and Norway. Keno Fischer's co-authors include Radziah Wahid, Thorsten Kurth, George Em Karniadakis, Valentin Churavy, David A. Barajas‐Solano, Michael Houston, Liu Yang, Sean Treichler, Alexandre M. Tartakovsky and R. C. Thomas and has published in prestigious journals such as Reviews in Environmental Science and Bio/Technology and Journal of Parallel and Distributed Computing.

In The Last Decade

Keno Fischer

5 papers receiving 69 citations

Author Peers

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

Author						Papers	Cites
Keno Fischer	23	17	16	12	12	5	72
Giulio Petrucci	9 0.4×	8 0.5×	21 1.3×	136 11.3×	51 4.3×	9	246
Carroll Croarkin	8 0.3×		14 0.9×	5 0.4×	17 1.4×	6	234
Andrei G. Ter-Gazarian	2 0.1×	2 0.1×	32 2.0×	4 0.3×	5 0.4×	6	240
H. Schroeven-Deceuninck	5 0.2×		20 1.3×	8 0.7×	8 0.7×	5	251
Carlos Puerto-Santana	6 0.3×		11 0.7×	27 2.3×	2 0.2×	4	64
Zhen Chen	4 0.2×		8 0.5×	33 2.8×	7 0.6×	8	234
Frank Burkholder	29 1.3×	1 0.1×	45 2.8×	63 5.3×	13 1.1×	12	213
Romain Gay	5 0.2×		20 1.3×	28 2.3×	6 0.5×	6	86
Bernhard M. Willert	4 0.2×	2 0.1×	17 1.1×		4 0.3×	5	143
Liyao Gao	22 1.0×		1 0.1×	21 1.8×	4 0.3×	5	81

Countries citing papers authored by Keno Fischer

Since Specialization

Citations

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

Fields of papers citing papers by Keno Fischer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keno Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Keno Fischer. A scholar is included among the top collaborators of Keno Fischer 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 Keno Fischer. Keno Fischer 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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