M. Ed Jernigan

9 total papers · 444 total citations
6 papers, 268 citations indexed

About

M. Ed Jernigan is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience. According to data from OpenAlex, M. Ed Jernigan has authored 6 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Cognitive Neuroscience. Recurrent topics in M. Ed Jernigan's work include Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Medical Image Segmentation Techniques (2 papers). M. Ed Jernigan is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers) and Medical Image Segmentation Techniques (2 papers). M. Ed Jernigan collaborates with scholars based in Canada. M. Ed Jernigan's co-authors include David A. Clausi, John A. Robinson, Neil D. B. Bruce, Susan J. Leat, Claude Nahmias and Javad Alirezaie and has published in prestigious journals such as Pattern Recognition, International Journal of Pattern Recognition and Artificial Intelligence and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

M. Ed Jernigan

6 papers receiving 231 citations

Author Peers

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

Author Last Decade Papers Cites
M. Ed Jernigan 176 90 45 29 25 6 268
J. Föglein 195 1.1× 81 0.9× 53 1.2× 19 0.7× 14 0.6× 8 323
C H Chen 173 1.0× 48 0.5× 74 1.6× 22 0.8× 11 0.4× 6 330
Panagiota Bosdogianni 141 0.8× 88 1.0× 43 1.0× 28 1.0× 15 0.6× 9 323
Khamar Basha Shaik 160 0.9× 58 0.6× 44 1.0× 13 0.4× 11 0.4× 6 328
Wenshuo Gao 196 1.1× 70 0.8× 20 0.4× 21 0.7× 12 0.5× 4 312
Alexandru Drîmbărean 193 1.1× 81 0.9× 31 0.7× 25 0.9× 8 0.3× 15 299
M. Radha 179 1.0× 52 0.6× 45 1.0× 28 1.0× 6 0.2× 4 282
Cheng Huang 149 0.8× 51 0.6× 53 1.2× 48 1.7× 6 0.2× 7 271
Ralf R. Kohler 221 1.3× 63 0.7× 40 0.9× 22 0.8× 5 0.2× 6 311
Валентина Кустикова 129 0.7× 29 0.3× 61 1.4× 15 0.5× 11 0.4× 7 266

Countries citing papers authored by M. Ed Jernigan

Since Specialization
Citations

This map shows the geographic impact of M. Ed 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. Ed 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. Ed Jernigan more than expected).

Fields of papers citing papers by M. Ed Jernigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ed Jernigan. A scholar is included among the top collaborators of M. Ed 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. Ed Jernigan. M. Ed 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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