Michael P. Eckert

647 total citations
16 papers, 439 citations indexed

About

Michael P. Eckert is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael P. Eckert has authored 16 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael P. Eckert's work include Digital Radiography and Breast Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image and Signal Denoising Methods (3 papers). Michael P. Eckert is often cited by papers focused on Digital Radiography and Breast Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image and Signal Denoising Methods (3 papers). Michael P. Eckert collaborates with scholars based in United States and Australia. Michael P. Eckert's co-authors include Andrew P. Bradley, Gershon Buchsbaum, Andrew B. Watson, Dev P. Chakraborty, Gregory A. Carter, Anthony Maeder, Donald McLean and Robert Heard and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Philosophical Transactions of the Royal Society B Biological Sciences and Medical Physics.

In The Last Decade

Michael P. Eckert

15 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael P. Eckert United States	7	290	122	99	57	49	16	439
Jonas Gårding Sweden	11	336 1.2×	175 1.4×	63 0.6×	41 0.7×	26 0.5×	18	579
Florent Autrusseau France	13	365 1.3×	44 0.4×	77 0.8×	49 0.9×	21 0.4×	42	520
Oscar Nestares United States	8	211 0.7×	231 1.9×	61 0.6×	18 0.3×	5 0.1×	27	498
Md. Khayrul Bashar Japan	10	236 0.8×	46 0.4×	95 1.0×	7 0.1×	31 0.6×	34	416
R. F. Wagner United States	7	96 0.3×	227 1.9×	23 0.2×	50 0.9×	94 1.9×	21	522
Michael Stokes United States	4	272 0.9×	50 0.4×	68 0.7×	195 3.4×	10 0.2×	9	441
Gunvant Chaudhari United States	8	37 0.1×	80 0.7×	44 0.4×	65 1.1×	27 0.6×	16	314
Fenqiang Zhao United States	10	110 0.4×	97 0.8×	62 0.6×	41 0.7×	8 0.2×	32	433
Ke Yan Australia	7	536 1.8×	174 1.4×	85 0.9×	12 0.2×	24 0.5×	11	666
Antonio Carlos Sobieranski Brazil	8	169 0.6×	43 0.4×	66 0.7×	72 1.3×	7 0.1×	25	427

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-authorship network of co-authors of Michael P. Eckert

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

All Works

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16 of 16 papers shown

1.

Eckert, Michael P. & Gregory A. Carter. (2000). Flowers produce variations in color saturation by arranging petals at oblique and varying angles. Journal of the Optical Society of America A. 17(5). 825–825. 5 indexed citations

2.

Maeder, Anthony, et al.. (1999). New Approaches in Medical Image Analysis. SPIE eBooks. 3747. 3 indexed citations

3.

Maeder, Anthony & Michael P. Eckert. (1999). <title>Medical image compression: quality and performance issues</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3747. 93–101. 4 indexed citations

4.

Eckert, Michael P. & Andrew P. Bradley. (1998). Perceptual quality metrics applied to still image compression. Signal Processing. 70(3). 177–200. 242 indexed citations

5.

McLean, Donald, et al.. (1997). Review of the first 50 cases completed by the RACR mammography QA programme: Phantom image quality, processor control and dose considerations. Australasian Radiology. 41(4). 387–391. 2 indexed citations

6.

Eckert, Michael P.. (1997). <title>Lossy compression using wavelets, block DCT, and lapped orthogonal transforms optimized with a perceptual model</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3031. 339–350. 6 indexed citations

7.

McLean, Donald, et al.. (1997). Review of the first 50 cases completed by the RACR mammography QA programme: Phantom image quality, processor control and dose considerations. Australasian Radiology. 41(4). 387–391. 2 indexed citations

8.

Chakraborty, Dev P. & Michael P. Eckert. (1995). Quantitative versus subjective evaluation of mammography accreditation phantom images. Medical Physics. 22(2). 133–143. 30 indexed citations

9.

Eckert, Michael P. & Dev P. Chakraborty. (1995). <title>Video display quality control measurements for picture archiving and communication systems (PACS)</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2431. 328–340. 3 indexed citations

10.

Eckert, Michael P. & Dev P. Chakraborty. (1994). <title>Quantitative analysis of phantom images in mammography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2167. 887–899. 2 indexed citations

11.

Watson, Andrew B. & Michael P. Eckert. (1994). Motion-contrast sensitivity: visibility of motion gradients of various spatial frequencies. Journal of the Optical Society of America A. 11(2). 496–496. 49 indexed citations

12.

Eckert, Michael P. & Gershon Buchsbaum. (1993). The significance of eye movements and image acceleration for coding television image sequences. MIT Press eBooks. 89–98. 34 indexed citations

13.

Eckert, Michael P. & Gershon Buchsbaum. (1993). Efficient coding of natural time varying images in the early visual system. Philosophical Transactions of the Royal Society B Biological Sciences. 339(1290). 385–395. 33 indexed citations

14.

Eckert, Michael P. & Gershon Buchsbaum. (1993). Effect of tracking strategies on the velocity structure of two-dimensional image sequences. Journal of the Optical Society of America A. 10(7). 1582–1582. 7 indexed citations

15.

Eckert, Michael P., Gershon Buchsbaum, & Andrew B. Watson. (1992). Separability of spatiotemporal spectra of image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 14(12). 1210–1213. 17 indexed citations

16.

Eckert, Michael P., Gershon Buchsbaum, & Andrew B. Watson. (1992). Separability of spatiotemporal spectra of image sequences. Ph.D. Thesis.

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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