E. Rietzschel

841 total citations
8 papers, 239 citations indexed

About

E. Rietzschel is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, E. Rietzschel has authored 8 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Molecular Biology. Recurrent topics in E. Rietzschel's work include Cardiovascular Health and Disease Prevention (4 papers), Cardiovascular Function and Risk Factors (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). E. Rietzschel is often cited by papers focused on Cardiovascular Health and Disease Prevention (4 papers), Cardiovascular Function and Risk Factors (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). E. Rietzschel collaborates with scholars based in Belgium. E. Rietzschel's co-authors include Marc De Buyzere, Denis Clément, Daniel Duprez, Michel R. Langlois, Sofie Bekaert, Luc De Cooman, Patrick Van Oostveldt, Pascal Verdonck, Thierry Gillebert and Dirk De Bacquer and has published in prestigious journals such as Hypertension, The American Journal of Cardiology and Journal of Biomechanics.

In The Last Decade

E. Rietzschel

8 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Rietzschel Belgium 5 161 44 39 35 34 8 239
Attilio Restivo Italy 10 217 1.3× 54 1.2× 42 1.1× 37 1.1× 27 0.8× 33 302
H. Kahles Germany 11 120 0.7× 22 0.5× 39 1.0× 26 0.7× 15 0.4× 28 287
Hamayak Sisakian Armenia 9 222 1.4× 65 1.5× 53 1.4× 49 1.4× 23 0.7× 20 328
Mario Njeim United States 8 154 1.0× 37 0.8× 27 0.7× 36 1.0× 30 0.9× 19 269
M. T. Rothman United Kingdom 8 162 1.0× 31 0.7× 20 0.5× 48 1.4× 15 0.4× 11 217
Tomohiko Sakatani Japan 11 187 1.2× 112 2.5× 61 1.6× 68 1.9× 14 0.4× 29 303
Tsuyoshi Shinozaki Japan 10 322 2.0× 36 0.8× 69 1.8× 18 0.5× 25 0.7× 17 399
Sakti Mookherjee United States 12 209 1.3× 66 1.5× 36 0.9× 46 1.3× 11 0.3× 28 378
Stelios M. Handanis Greece 7 191 1.2× 41 0.9× 42 1.1× 21 0.6× 7 0.2× 8 248
J. Grover United States 7 177 1.1× 52 1.2× 46 1.2× 20 0.6× 11 0.3× 12 309

Countries citing papers authored by E. Rietzschel

Since Specialization
Citations

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

Fields of papers citing papers by E. Rietzschel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Rietzschel

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

All Works

8 of 8 papers shown
1.
März, Winfried, Günther Silbernagel, G DeBacker, et al.. (2011). 33 PLANT STEROLS AND CARDIOVASCULAR DISEASE: A SYSTEMATIC REVIEW AND META-ANALYSIS. Atherosclerosis Supplements. 12(1). 8–8. 4 indexed citations
2.
Meyer, Tim De, Davy Sinnaeve, Björn Van Gasse, et al.. (2010). Evaluation of standard and advanced preprocessing methods for the univariate analysis of blood serum 1H-NMR spectra. Analytical and Bioanalytical Chemistry. 398(4). 1781–1790. 31 indexed citations
3.
Vermeersch, Sebastian, E. Rietzschel, P. Verdonck, & Patrick Segers. (2008). Comparison of scaling techniques for deriving carotid artery pressures from diameter distension waveforms. Computer Methods in Biomechanics & Biomedical Engineering. 11(sup001). 225–227. 1 indexed citations
4.
Rietzschel, E., Marc De Buyzere, Sofie Bekaert, et al.. (2007). Rationale, design, methods and baseline characteristics of the Asklepios Study. European Journal of Cardiovascular Prevention & Rehabilitation. 14(2). 179–191. 122 indexed citations
5.
Vermeersch, Sebastian, E. Rietzschel, Marc De Buyzere, et al.. (2006). Normalizing the Langewouters pressure-area relationship: a novel geometry-independent description of large artery stiffness?. Journal of Biomechanics. 39. S321–S321. 1 indexed citations
6.
Rietzschel, E., et al.. (2001). A Comparison Between Systolic and Diastolic Pulse Contour Analysis in the Evaluation of Arterial Stiffness. Hypertension. 37(6). E15–22. 58 indexed citations
7.
Rietzschel, E., Daniel Duprez, Marc L. De Buyzere, & Denis Clément. (2000). Inverse relation between aldosterone and venous capacitance in chronically treated congestive heart failure. The American Journal of Cardiology. 85(8). 977–980. 8 indexed citations
8.
Rietzschel, E.. (2000). Interchangeability of carotid and femoral intima-media thickness in risk stratification?. American Journal of Hypertension. 13(6). S188–S189. 14 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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