Emilia Käsper

24 total papers · 631 total citations
6 papers, 145 citations indexed

About

Emilia Käsper is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Emilia Käsper has authored 6 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Emilia Käsper's work include Cryptographic Implementations and Security (4 papers), Advanced Malware Detection Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Emilia Käsper is often cited by papers focused on Cryptographic Implementations and Security (4 papers), Advanced Malware Detection Techniques (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). Emilia Käsper collaborates with scholars based in Belgium, United States and Germany. Emilia Käsper's co-authors include Peter Schwabe, Camelia Ignat, Ralf Steinberger, Bruno Pouliquen, Shaanan Cohney, Nadia Heninger, Luke Valenta, Christof Paar, David Adrian and Sebastian Schinzel and has published in prestigious journals such as Lecture notes in computer science, UCL Discovery (University College London) and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).

In The Last Decade

Emilia Käsper

6 papers receiving 128 citations

Author Peers

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

Author						Papers	Cites
Emilia Käsper	124	48	36	33	29	6	145
Han Xiao	153 1.2×	51 1.1×	90 2.5×	104 3.2×	19 0.7×	8	223
Ahoud Alhazmi	246 2.0×	48 1.0×	45 1.3×	67 2.0×	42 1.4×	8	292
Scott Yilek	102 0.8×	61 1.3×	55 1.5×	51 1.5×	40 1.4×	4	143
Yury Zemlyanskiy	120 1.0×	16 0.3×	33 0.9×	15 0.5×	25 0.9×	6	184
Florian Göpfert	98 0.8×	65 1.4×	22 0.6×	52 1.6×	18 0.6×	6	148
Lixin Su	161 1.3×	111 2.3×	24 0.7×	11 0.3×	48 1.7×	10	222
Markus Jakobsson	63 0.5×	45 0.9×	29 0.8×	36 1.1×	51 1.8×	9	125
Rodney Thayer	121 1.0×	74 1.5×	113 3.1×	33 1.0×	35 1.2×	7	249
Eugene Bagdasaryan	166 1.3×	89 1.9×	73 2.0×	39 1.2×	24 0.8×	8	233
Yufei Xue	118 1.0×	97 2.0×	32 0.9×	18 0.5×	13 0.4×	5	243

Countries citing papers authored by Emilia Käsper

Since Specialization

Citations

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

Fields of papers citing papers by Emilia Käsper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilia Käsper

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