Eric K. Gibbons

572 total citations
7 papers, 393 citations indexed

About

Eric K. Gibbons is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eric K. Gibbons has authored 7 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Nuclear and High Energy Physics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Eric K. Gibbons's work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and MRI in cancer diagnosis (3 papers). Eric K. Gibbons is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and MRI in cancer diagnosis (3 papers). Eric K. Gibbons collaborates with scholars based in United States. Eric K. Gibbons's co-authors include Akshay Chaudhari, Kathryn J. Stevens, Jeff Wood, Garry E. Gold, Zhongnan Fang, Brian A. Hargreaves, Feliks Kogan, Jin Hyung Lee, Edward DiBella and Lorie Richards and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging and Journal of Magnetic Resonance Imaging.

In The Last Decade

Eric K. Gibbons

7 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric K. Gibbons United States	5	281	104	90	35	32	7	393
Jeff Wood United States	3	234 0.8×	104 1.0×	95 1.1×	44 1.3×	32 1.0×	4	352
Jang‐Hwan Choi South Korea	12	390 1.4×	90 0.9×	370 4.1×	15 0.4×	15 0.5×	65	533
Phillip K Edwards United States	6	216 0.8×	64 0.6×	115 1.3×	11 0.3×	7 0.2×	9	332
Frank Zijlstra Netherlands	11	321 1.1×	55 0.5×	129 1.4×	27 0.8×	3 0.1×	25	454
Ruida Cheng United States	9	106 0.4×	94 0.9×	143 1.6×	28 0.8×	6 0.2×	14	309
Christopher M. Sandino United States	10	302 1.1×	36 0.3×	76 0.8×	8 0.2×	5 0.2×	23	392
Mahesh Keerthivasan United States	11	250 0.9×	24 0.2×	47 0.5×	16 0.5×	14 0.4×	43	316
Éric Van Reeth France	8	184 0.7×	90 0.9×	47 0.5×	11 0.3×	19 0.6×	18	312
Daisuke Fukuoka Japan	10	144 0.5×	76 0.7×	52 0.6×	14 0.4×	11 0.3×	30	358
Jiayu Huo China	9	352 1.3×	61 0.6×	67 0.7×	31 0.9×	5 0.2×	18	495

Countries citing papers authored by Eric K. Gibbons

Since Specialization

Citations

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

Fields of papers citing papers by Eric K. Gibbons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric K. Gibbons. 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 Eric K. Gibbons. The network helps show where Eric K. Gibbons may publish in the future.

Co-authorship network of co-authors of Eric K. Gibbons

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

All Works

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7 of 7 papers shown

Chaudhari, Akshay, Kathryn J. Stevens, Jeff Wood, et al.. (2019). Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers. Journal of Magnetic Resonance Imaging. 51(3). 768–779. 55 indexed citations

Chaudhari, Akshay, Zhongnan Fang, Feliks Kogan, et al.. (2018). Super‐resolution musculoskeletal MRI using deep learning. Magnetic Resonance in Medicine. 80(5). 2139–2154. 269 indexed citations

Gibbons, Eric K., Akshay Chaudhari, Lorie Richards, et al.. (2018). Simultaneous NODDI and GFA parameter map generation from subsampled q‐space imaging using deep learning. Magnetic Resonance in Medicine. 81(4). 2399–2411. 49 indexed citations

Gibbons, Eric K., Patrick Le Roux, John M. Pauly, & Adam B. Kerr. (2017). Slice profile effects on nCPMG SS‐FSE. Magnetic Resonance in Medicine. 79(1). 430–438. 3 indexed citations

Gibbons, Eric K., Shreyas Vasanawala, John M. Pauly, & Adam B. Kerr. (2017). Body diffusion‐weighted imaging using magnetization prepared single‐shot fast spin echo and extended parallel imaging signal averaging. Magnetic Resonance in Medicine. 79(6). 3032–3044. 9 indexed citations

Gibbons, Eric K., Patrick Le Roux, Shreyas Vasanawala, John M. Pauly, & Adam B. Kerr. (2017). Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging. IEEE Transactions on Medical Imaging. 37(1). 200–209. 1 indexed citations

Gibbons, Eric K., Patrick Le Roux, Shreyas Vasanawala, John M. Pauly, & Adam B. Kerr. (2016). Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo. IEEE Transactions on Medical Imaging. 36(2). 549–559. 7 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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