P.H. Schimpf

1.4k citations
39 papers · 977 indexed · h-index 15

P.H. Schimpf

36 papers receiving 913 citations

Peers

P.H. Schimpf
Comparison fields: 5 of 106
  • Cognitive Neuroscience 484
  • Radiology, Nuclear Medicine and Imaging 340
  • Signal Processing 112
  • Neurology 52
  • Experimental and Cognitive Psychology 60
Replace Joseph Muscat with:
Joseph Muscat Malta
H. Nowak Germany
Martin Luessi United States
Okito Yamashita Japan
Philip J. Bones New Zealand
Tracey Cassar Malta
Giuseppe Placidi Italy
Stephen B. Baumann United States
Felix Darvas United States
Shu Zhang China
P.H. Schimpf relative to Joseph Muscat Malta Joseph Muscat's profile →
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Citations per year

Countries citing papers authored by P.H. Schimpf

Since Specialization
Citations

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

Fields of papers citing papers by P.H. Schimpf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.H. Schimpf. 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 P.H. Schimpf. The network helps show where P.H. Schimpf may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20162
2
Finite element active learning module assessment of student improvement, learning styles, gender differences and ethnic differences
20141
3 20123
4 20099
5 200916
6 20074
7 200783
8 200620
9 200620
10 2006119
11 200562
12 20043
13 200433
14 200477
15 2002180
16 199910
17 199827
18 199619
19 199510
20 199549

About P.H. Schimpf

P.H. Schimpf is a scholar working on Architecture, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 977 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (13 papers), Electrical and Bioimpedance Tomography (11 papers), Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), EEG and Brain-Computer Interfaces (5 papers), ECG Monitoring and Analysis (4 papers) and Experimental Learning in Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (484 citations), Radiology, Nuclear Medicine and Imaging (340 citations) and Signal Processing (112 citations). P.H. Schimpf has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jens Haueisen, Ceon Ramon, Hesheng Liu, Larry R. Vandervert, Van J. Wedeen, John George, David S. Tuch, John W. Belliveau, Akira Ishimaru and Y. Kim. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Physics in Medicine and Biology, Brain Topography, BioMedical Engineering OnLine and Creativity Research Journal.

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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