Paul Wach

3.7k citations
143 papers · 2.8k · h-index 29

Impact in

Papers in

Paul Wach

129 papers receiving 2.7k citations

Peers

Paul Wach
Comparison fields: 5 of 141
  • Endocrinology, Diabetes and Metabolism 481
  • Radiology, Nuclear Medicine and Imaging 608
  • Cardiology and Cardiovascular Medicine 556
  • Biophysics 144
  • Bioengineering 109
Replace Kenneth L. Zierler with:
Kenneth L. Zierler United States
Richard J. Bing United States
Takashi Katagiri Japan
Giovanni Sparacino Italy
Ichiro Sakuma Japan
Fumihiko Kajiya Japan
Sneh Anand India
Marinette van der Graaf Netherlands
Brent D. Cameron United States
Shien‐Fong Lin United States
Paul Wach relative to Kenneth L. Zierler United States Kenneth L. Zierler's profile →
Citations per field
00.5×
Kenneth L. Zierler · 1×
Citations per year

Countries citing papers authored by Paul Wach

Since Specialization
Citations

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

Fields of papers citing papers by Paul Wach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996309
2 2005187
3 2006156
4 2008140
5 2000136
6 1998125
7 1998104
8 199893
9 199988
10 199680
11 200072
12 199671
13 199967
14 199664
15 200258
16 199358
17 199754
18 200252
19 200545
20 200640

About Paul Wach

Paul Wach is a scholar working on Radiology, Nuclear Medicine and Imaging, Control and Systems Engineering, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering, having authored 143 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (31 papers), Systems Engineering Methodologies and Applications (16 papers), Electrical and Bioimpedance Tomography (16 papers), Diabetes Management and Research (15 papers), Cardiac electrophysiology and arrhythmias (13 papers), Atomic and Subatomic Physics Research (12 papers), Cardiac Arrhythmias and Treatments (8 papers) and Ultrasonics and Acoustic Wave Propagation (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (481 citations), Radiology, Nuclear Medicine and Imaging (608 citations), Cardiology and Cardiovascular Medicine (556 citations), Biophysics (144 citations) and Bioengineering (109 citations). Paul Wach has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Rudolf Stollberger, Zlatko Trajanoski, F. Skrabal, Thomas R. Pieber, Jürgen Fortin, Peter Kotanko, B. Tilg, Martin Ellmerer, Gernot Brunner and G. Fischer. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Computer Methods and Programs in Biomedicine, American Journal of Physiology-Endocrinology and Metabolism, Biosensors and Bioelectronics and Diabetes Care.

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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