Peter Beyerlein

46 papers receiving 1.4k citations

Peter Beyerlein's Hit Papers

Diagnostic Potential of Saliva: Current State and Future Applications 2011 · 664 citations
6640+5+10Years since publication200400600

Peers

Peter Beyerlein
Comparison fields: 5 of 109
  • Periodontics 104
  • Physiology 238
  • Artificial Intelligence 309
  • Cancer Research 82
  • Behavioral Neuroscience 15
Replace Yi‐Shing Lisa Cheng with:
Yi‐Shing Lisa Cheng United States
Michael Kai Tu United States
Fiona Ginty United States
Enrico Giampieri Italy
Jiantao Wang China
Holger R. Schwender Germany
Võ Trương Như Ngọc Vietnam
Rajnish Kumar India
Xiaoyuan Han United States
Yuying Xie United States
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Citations per year

Countries citing papers authored by Peter Beyerlein

Since Specialization
Citations

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

Fields of papers citing papers by Peter Beyerlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Beyerlein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Beyerlein Line = papers co-authored together Peter Beyerlein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnostic Potential of Saliva: Current State and Future Applications
Hit paper breakdown →
2011664
2 2011106
3 200284
4 200271
5 201469
6 201558
7 201558
8 201545
9 201334
10 200225
11 200225
12 200921
13 201719
14 199517
15 201017
16 199713
17 199913
18 200213
19 199912
20
Multi-Level Approach for the Discriminative Generalized Hough Transform
201110

About Peter Beyerlein

Peter Beyerlein is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Cancer Research, Experimental and Cognitive Psychology and Signal Processing, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (20 papers), Image and Object Detection Techniques (9 papers), Genomics and Phylogenetic Studies (5 papers), Medical Image Segmentation Techniques (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Gene expression and cancer classification (3 papers), Cancer Genomics and Diagnostics (3 papers) and Phonetics and Phonology Research (2 papers). The work is most often cited by research in Periodontics (104 citations), Physiology (238 citations), Artificial Intelligence (309 citations), Cancer Research (82 citations) and Behavioral Neuroscience (15 citations). Peter Beyerlein has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Chamindie Punyadeera, Karam Kostner, Justin John Cooper-White, Goce Dimeski, JEREMY R. CHIEN, Reinhold Haeb‐Umbach, Xavier L. Aubert, Andrew K. Godwin, Joseph Picone and Dimitra Vergyri. Their work appears in journals such as Computer Science - Research and Development, Nucleic Acids Research, Bioelectrochemistry, Scientific Reports and IEEE Transactions on Computational Biology and Bioinformatics.

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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