Peter Saparin

1.6k citations
34 papers · 1.3k · h-index 14

Impact in

Papers in

Peter Saparin

33 papers receiving 1.3k citations

Peers

Peter Saparin
Comparison fields: 5 of 128
  • Statistical and Nonlinear Physics 387
  • Cardiology and Cardiovascular Medicine 620
  • Cognitive Neuroscience 296
  • Orthopedics and Sports Medicine 81
  • Economics and Econometrics 246
Replace Ken Kiyono with:
Ken Kiyono Japan
A. Witt Germany
Udo Meyerfeldt Germany
Ronny P. Bartsch Israel
Elizabeth Bradley United States
Alexander Schirdewan Germany
David R. Rigney United States
Zbigniew R. Struzik Japan
András Eke Hungary
Peter Saparin relative to Ken Kiyono Japan Ken Kiyono's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Saparin

Since Specialization
Citations

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

Fields of papers citing papers by Peter Saparin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Saparin, 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 Saparin Line = papers co-authored together Peter Saparin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995391
2 1996366
3 1997182
4 200684
5
Cancellous bone structure of iliac crest biopsies following 370 days of head-down bed rest.
200539
6 201031
7 199427
8 199825
9 200618
10 200717
11 199816
12 199616
13 199814
14 200213
15 19948
16
Symbolic dynamics for medical data analysis
20028
17 20097
18 20027
19 20056
20 20115

About Peter Saparin

Peter Saparin is a scholar working on Geometry and Topology, Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (10 papers), Bone health and osteoporosis research (9 papers), Complex Systems and Time Series Analysis (7 papers), Heart Rate Variability and Autonomic Control (6 papers), Medical Image Segmentation Techniques (5 papers), Time Series Analysis and Forecasting (4 papers), Spaceflight effects on biology (3 papers) and Fractal and DNA sequence analysis (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (387 citations), Cardiology and Cardiovascular Medicine (620 citations), Cognitive Neuroscience (296 citations), Orthopedics and Sports Medicine (81 citations) and Economics and Econometrics (246 citations). Peter Saparin has collaborated with scholars based in Germany, Russia and Denmark. Frequent co-authors include Jürgen Kurths, A. Witt, Andreas Voss, Niels Wessel, H.J. Kleiner, Lewi Stone, Alexander Neiman, Rainer Dietz, K J Osterziel and Norbert Marwan. Their work appears in journals such as Acta Astronautica, Medical Physics, Cardiovascular Research, The Anatomical Record and Bone.

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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