M.E. Jernigan

50 total papers · 861 total citations
40 papers, 595 citations indexed

About

M.E. Jernigan is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, M.E. Jernigan has authored 40 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 12 papers in Cognitive Neuroscience and 12 papers in Media Technology. Recurrent topics in M.E. Jernigan's work include Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (8 papers) and Advanced Image Fusion Techniques (8 papers). M.E. Jernigan is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Medical Image Segmentation Techniques (8 papers) and Advanced Image Fusion Techniques (8 papers). M.E. Jernigan collaborates with scholars based in Canada, United States and China. M.E. Jernigan's co-authors include David A. Clausi, Javad Alirezaie, Claude Nahmias, Slawomir Wesolkowski, R.D. Dony, David M. Miller, Jennifer F. Newman, Ernst Wolf, A.R.M. Upton and G.F. McLean and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

M.E. Jernigan

31 papers receiving 524 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M.E. Jernigan	309	101	99	90	87	40	595
Rassoul Amirfattahi	236 0.8×	73 0.7×	63 0.6×	57 0.6×	95 1.1×	48	645
Jian Pu	375 1.2×	159 1.6×	87 0.9×	30 0.3×	49 0.6×	55	650
Abdelmalik Taleb‐Ahmed	211 0.7×	163 1.6×	43 0.4×	52 0.6×	55 0.6×	50	616
Alaa Eleyan	366 1.2×	88 0.9×	57 0.6×	95 1.1×	50 0.6×	56	594
Dominique Ginhac	178 0.6×	65 0.6×	75 0.8×	32 0.4×	59 0.7×	61	691
Hayaru Shouno	171 0.6×	150 1.5×	34 0.3×	40 0.4×	25 0.3×	59	572
Behzad Bozorgtabar	321 1.0×	283 2.8×	88 0.9×	39 0.4×	30 0.3×	37	697
Wei Wu	378 1.2×	172 1.7×	121 1.2×	23 0.3×	22 0.3×	48	670
Ewout Vansteenkiste	216 0.7×	64 0.6×	84 0.8×	16 0.2×	39 0.4×	53	499
Adel S. El‐Fishawy	224 0.7×	189 1.9×	67 0.7×	165 1.8×	116 1.3×	86	636

Countries citing papers authored by M.E. Jernigan

Since Specialization

Citations

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

Fields of papers citing papers by M.E. Jernigan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Jernigan. 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 M.E. Jernigan. The network helps show where M.E. Jernigan may publish in the future.

Co-authorship network of co-authors of M.E. Jernigan

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

All Works

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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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