Michael P. Eckert

649 citations
18 papers · 534 · h-index 9

Impact in

Papers in

Michael P. Eckert

16 papers receiving 490 citations

Peers

Michael P. Eckert
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 326
  • Media Technology 106
  • Cognitive Neuroscience 149
  • Computer Graphics and Computer-Aided Design 18
  • Developmental Biology 6
Replace Otto H. Schade with:
Otto H. Schade United States
Ethan D. Montag United States
Ian R. Moorhead United Kingdom
Florent Autrusseau France
Anthony Hayes Australia
Sharmishtaa Seshamani United States
Tang Chao China
J. M. Valeton Netherlands
Oscar Nestares United States
James Larimer United States
Michael P. Eckert relative to Otto H. Schade United States Otto H. Schade's profile →
Citations per field
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Otto H. Schade · 1×
Citations per year

Countries citing papers authored by Michael P. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Michael P. Eckert, 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 Michael P. Eckert Line = papers co-authored together Michael P. Eckert links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1998263
2 199451
3 200150
4
The significance of eye movements and image acceleration for coding television image sequences
199337
5 199336
6 199532
7 199220
8 199910
9 19939
10 19976
11 20005
12
New Approaches in Medical Image Analysis
19994
13 19973
14 19953
15 19942
16 19972
17 19901
18
Separability of spatiotemporal spectra of image sequences. Ph.D. Thesis
19920

About Michael P. Eckert

Michael P. Eckert is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering, having authored 18 papers that have together received 534 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (6 papers), Advanced Vision and Imaging (4 papers), Visual perception and processing mechanisms (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers), Neural dynamics and brain function (3 papers), Image and Signal Denoising Methods (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Media Technology (106 citations), Cognitive Neuroscience (149 citations), Computer Graphics and Computer-Aided Design (18 citations) and Developmental Biology (6 citations). Michael P. Eckert has collaborated with scholars based in United States and Australia. Frequent co-authors include Andrew P. Bradley, Gershon Buchsbaum, Andrew B. Watson, Jochen Zeil, Dev P. Chakraborty, Anthony Maeder, Gregory A. Carter, Donald McLean and Robert Heard. Their work appears in journals such as Journal of the Optical Society of America A, Signal Processing, Philosophical Transactions of the Royal Society B Biological Sciences, Medical Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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