Lea Schönherr

53 total papers · 588 total citations
12 papers, 68 citations indexed

About

Lea Schönherr is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Lea Schönherr has authored 12 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Lea Schönherr's work include Advanced Malware Detection Techniques (3 papers), Speech and Audio Processing (2 papers) and User Authentication and Security Systems (2 papers). Lea Schönherr is often cited by papers focused on Advanced Malware Detection Techniques (3 papers), Speech and Audio Processing (2 papers) and User Authentication and Security Systems (2 papers). Lea Schönherr collaborates with scholars based in Germany, Italy and United States. Lea Schönherr's co-authors include Thorsten Holz, Thorsten Eisenhofer, Dorothea Kolossa, Asja Fischer, J. Howard Frank, Mario Fritz, Martin Heckmann, Markus Dürmuth, Steffen Zeiler and Maximilian Golla and has published in prestigious journals such as Computer Speech & Language, Figshare and arXiv (Cornell University).

In The Last Decade

Lea Schönherr

10 papers receiving 65 citations

Author Peers

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

Author						Papers	Cites
Lea Schönherr	26	19	18	14	10	12	68
Fabian B. Fuchs	22 0.8×	8 0.4×	16 0.9×	3 0.2×	10 1.0×	9	59
Ebtesam Almazrouei	43 1.7×	15 0.8×	9 0.5×	12 0.9×	3 0.3×	13	95
Naman Gupta	21 0.8×	5 0.3×	10 0.6×	7 0.5×	7 0.7×	14	72
Haoze Wu	28 1.1×	6 0.3×	32 1.8×	3 0.2×	5 0.5×	18	59
Ali Vakilian	38 1.5×	9 0.5×	9 0.5×	2 0.1×	6 0.6×	15	67
André Adelsbach	38 1.5×	8 0.4×	60 3.3×	5 0.4×	14 1.4×	11	80
F. Z. Qi	21 0.8×	13 0.7×	11 0.6×	4 0.3×	19 1.9×	18	79
Peihan Miao	48 1.8×	6 0.3×	32 1.8×	4 0.3×	29 2.9×	14	94
Xiaoshuang Ma	24 0.9×	3 0.2×	16 0.9×	19 1.4×	5 0.5×	13	57
Tonghan Wang	29 1.1×	8 0.4×	76 4.2×	4 0.3×	3 0.3×	14	113

Countries citing papers authored by Lea Schönherr

Since Specialization

Citations

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

Fields of papers citing papers by Lea Schönherr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Schönherr

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