S. J. Pöppl

969 total citations
34 papers, 672 citations indexed

About

S. J. Pöppl is a scholar working on Biomedical Engineering, Computational Mechanics and Surgery. According to data from OpenAlex, S. J. Pöppl has authored 34 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 6 papers in Computational Mechanics and 5 papers in Surgery. Recurrent topics in S. J. Pöppl's work include Anatomy and Medical Technology (5 papers), Advanced Chemical Sensor Technologies (5 papers) and Orthopaedic implants and arthroplasty (4 papers). S. J. Pöppl is often cited by papers focused on Anatomy and Medical Technology (5 papers), Advanced Chemical Sensor Technologies (5 papers) and Orthopaedic implants and arthroplasty (4 papers). S. J. Pöppl collaborates with scholars based in Germany, Italy and Egypt. S. J. Pöppl's co-authors include Heinz Handels, Roland Linder, Jan Ehrhardt, W Plötz, Werner S. Tirsch, Antonino De Lorenzo, Ehab I. Mohamed, Jürgen Kreusch, M. Keidel and Helmut H. Wolff and has published in prestigious journals such as Bioinformatics, Electroencephalography and Clinical Neurophysiology and Progress in brain research.

In The Last Decade

S. J. Pöppl

32 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. J. Pöppl Germany 14 182 148 98 90 82 34 672
T.K. Hames United Kingdom 11 97 0.5× 106 0.7× 123 1.3× 47 0.5× 163 2.0× 28 621
D.L. Hudson United States 10 80 0.4× 179 1.2× 38 0.4× 83 0.9× 170 2.1× 60 525
Fatma Lati̇foğlu Türkiye 16 146 0.8× 132 0.9× 37 0.4× 245 2.7× 163 2.0× 81 767
George Manis Greece 15 142 0.8× 189 1.3× 23 0.2× 204 2.3× 332 4.0× 44 759
Donna L. Hudson United States 12 87 0.5× 138 0.9× 107 1.1× 66 0.7× 240 2.9× 48 715
Madalina Fiterau United States 8 216 1.2× 262 1.8× 98 1.0× 22 0.2× 61 0.7× 27 798
Hsien–Tsai Wu Taiwan 18 407 2.2× 59 0.4× 92 0.9× 92 1.0× 489 6.0× 91 1.2k
Jean‐Marc Girault France 13 163 0.9× 42 0.3× 26 0.3× 58 0.6× 118 1.4× 66 599
Yavuz Erdem Türkiye 14 38 0.2× 109 0.7× 87 0.9× 142 1.6× 18 0.2× 73 727
Gangmin Ning China 12 88 0.5× 194 1.3× 31 0.3× 84 0.9× 200 2.4× 62 725

Countries citing papers authored by S. J. Pöppl

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Pöppl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Pöppl. 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 S. J. Pöppl. The network helps show where S. J. Pöppl may publish in the future.

Co-authorship network of co-authors of S. J. Pöppl

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

All Works

20 of 20 papers shown
1.
Linder, Roland, Andreas E. Albers, Markus Heß, S. J. Pöppl, & R. Schönweiler. (2006). Artificial Neural Network-based Classification to Screen for Dysphonia Using Psychoacoustic Scaling of Acoustic Voice Features. Journal of Voice. 22(2). 155–163. 33 indexed citations
2.
Linder, Roland, et al.. (2006). Two models for outcome prediction - a comparison of logistic regression and neural networks.. PubMed. 45(5). 536–40. 26 indexed citations
3.
Linder, Roland, et al.. (2005). An Artificial Neural Network Is Capable of Predicting Odour Intensity. Polish Journal of Environmental Studies. 14(4).
4.
Linder, Roland, Holger Sudhoff, Dirk Theegarten, et al.. (2004). The ‘subsequent artificial neural network’ (SANN) approach might bring more classificatory power to ANN-based DNA microarray analyses. Bioinformatics. 20(18). 3544–3552. 32 indexed citations
5.
Linder, Roland, Ehab I. Mohamed, Antonino De Lorenzo, & S. J. Pöppl. (2003). The capabilities of artificial neural networks in body composition research. Acta Diabetologica. 40(S1). s9–s14. 13 indexed citations
6.
Mohamed, Ehab I., C. Maiolo, Roland Linder, S. J. Pöppl, & Antonino De Lorenzo. (2003). Artificial neural network analysis: a novel application for predicting site-specific bone mineral density. Acta Diabetologica. 40(S1). s19–s22. 10 indexed citations
7.
Mohamed, Ehab I., Ernesto Bruno, Roland Linder, et al.. (2003). A novel method for diagnosing chronic rhinosinusitis based on an electronic nose.. PubMed. 30(5). 447–57. 19 indexed citations
8.
Mohamed, Ehab I., C. Maiolo, Roland Linder, S. J. Pöppl, & Antonino De Lorenzo. (2003). Predicting the intracellular water compartment using artificial neural network analysis. Acta Diabetologica. 40(S1). s15–s18. 3 indexed citations
9.
Mohamed, Ehab I., Roland Linder, G. Perriello, et al.. (2002). Predicting Type 2 diabetes using an electronic nose-based artificial neural network analysis.. PubMed. 15(4). 215–21. 68 indexed citations
10.
Ehrhardt, Jan, et al.. (2001). Atlas-based segmentation of bone structures to support the virtual planning of hip operations. International Journal of Medical Informatics. 64(2-3). 439–447. 41 indexed citations
11.
Handels, Heinz, Jan Ehrhardt, W Plötz, & S. J. Pöppl. (2001). Three-Dimensional Planning and Simulation of Hip Operations and Computer-Assisted Construction of Endoprostheses in Bone Tumor Surgery. Computer Aided Surgery. 6(2). 65–76. 33 indexed citations
12.
Handels, Heinz, Jan Ehrhardt, W Plötz, & S. J. Pöppl. (2000). Virtual planning of hip operations and individual adaption of endoprostheses in orthopaedic surgery. International Journal of Medical Informatics. 58-59. 21–28. 19 indexed citations
13.
Ehrhardt, Jan, et al.. (2000). An anatomical atlas to support the virtual planning of hip operations.. PubMed. 77. 1226–30. 2 indexed citations
14.
Kreusch, Jürgen, et al.. (1999). Computer-Supported Diagnosis of Melanoma in Profilometry. Methods of Information in Medicine. 38(1). 43–49. 10 indexed citations
15.
Handels, Heinz, et al.. (1999). Feature selection for optimized skin tumor recognition using genetic algorithms. Artificial Intelligence in Medicine. 16(3). 283–297. 87 indexed citations
16.
Tirsch, Werner S., et al.. (1992). Comparative coherence studies in healthy volunteers and Down's syndrome patients from childhood to adult age. Electroencephalography and Clinical Neurophysiology. 83(2). 112–123. 29 indexed citations
17.
Keidel, M., W. D. Keidel, Werner S. Tirsch, & S. J. Pöppl. (1990). Temporal pattern with circa 1 minute cycles in the running coherence function between EEG and VMG in man. Journal of Interdisiplinary Cycle Research. 21(1). 33–50. 10 indexed citations
18.
Weinmann, Hilmar, et al.. (1985). Z-Transformed EEG Power Spectra of Children with Down Syndrome vs a Control Group. Neuropediatrics. 16(4). 218–224. 16 indexed citations
19.
Michels, Paul A.M., et al.. (1980). ANSÄTZE ZUR MASCHINELLEN ERKENNUNG DER ALTERSGEMÄSSEN ENTWICKLUNG DES KINDLICHEN EEG IM RAHMEN EINER 5-JAHRES-LÄNGSSCHNITTSTUDIE. Neuropediatrics. 11(4). 303–322. 3 indexed citations
20.
Wuttke, W., et al.. (1975). Changes in the EEG during menstrual cycle of women with and without oral contraceptives. Progress in brain research. 42. 322–323. 3 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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