Paul Baecher

472 total citations
3 papers, 26 citations indexed

About

Paul Baecher is a scholar working on Molecular Biology, General Health Professions and Information Systems. According to data from OpenAlex, Paul Baecher has authored 3 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in General Health Professions and 1 paper in Information Systems. Recurrent topics in Paul Baecher's work include Spam and Phishing Detection (1 paper), Hermeneutics and Narrative Identity (1 paper) and User Authentication and Security Systems (1 paper). Paul Baecher is often cited by papers focused on Spam and Phishing Detection (1 paper), Hermeneutics and Narrative Identity (1 paper) and User Authentication and Security Systems (1 paper). Paul Baecher collaborates with scholars based in . Paul Baecher's co-authors include Marc Fischlin, Dominique Schröder, Jens Ackermann, Michael Goesele, Kay Hamacher, Maximillian Dornseif and Felix Freiling and has published in prestigious journals such as TUbilio (Technical University of Darmstadt).

In The Last Decade

Paul Baecher

3 papers receiving 26 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Baecher	2	10	10	7	5	4	3	26
Piotr Przymus Poland	4	8 0.8×	31 3.1×	3 0.4×		6 1.5×	11	48
Ian Goethert United States	3	4 0.4×	6 0.6×	3 0.4×		5 1.3×	4	24
Daniel Y. Fu United States	4	5 0.5×	7 0.7×	2 0.3×		10 2.5×	9	32
Ping Yi China	4	8 0.8×	3 0.3×	4 0.6×		12 3.0×	14	36
Wenjing Yin China	4	5 0.5×	3 0.3×	3 0.4×		7 1.8×	9	39
A. Grimes United States	3	6 0.6×	6 0.6×	5 0.7×	2 0.4×	10 2.5×	4	54
Francisco Mayo Spain	3	3 0.3×	6 0.6×		6 1.2×	3 0.8×	6	24
Yihe Dong China	4	5 0.5×	3 0.3×	3 0.4×		6 1.5×	6	26
S. Sagar Imambi India	4	5 0.5×	7 0.7×	2 0.3×		12 3.0×	15	30
Beatriz Serrano‐Solano Germany	4	17 1.7×	10 1.0×			5 1.3×	9	33

Countries citing papers authored by Paul Baecher

Since Specialization

Citations

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

Fields of papers citing papers by Paul Baecher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Baecher

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

All Works

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3 of 3 papers shown

1.

Baecher, Paul, et al.. (2010). CAPTCHAs: The Good, the Bad, and the Ugly. 353–365. 13 indexed citations

2.

Ackermann, Jens, et al.. (2009). Massively-parallel simulation of biochemical systems. TUbilio (Technical University of Darmstadt). 739–750. 12 indexed citations

3.

Baecher, Paul, et al.. (2006). The nepenthes platform: An efficient approach to collect malware. 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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