Frank Earnest

13 total papers · 536 total citations
8 papers, 342 citations indexed

About

Frank Earnest is a scholar working on Surgery, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Frank Earnest has authored 8 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Oncology. Recurrent topics in Frank Earnest's work include Advanced Data Compression Techniques (2 papers), Image and Signal Denoising Methods (2 papers) and Diverticular Disease and Complications (2 papers). Frank Earnest is often cited by papers focused on Advanced Data Compression Techniques (2 papers), Image and Signal Denoising Methods (2 papers) and Diverticular Disease and Complications (2 papers). Frank Earnest collaborates with scholars based in United States. Frank Earnest's co-authors include Tanya L. Hoskin, Jeff L. Fidler, Joel G. Fletcher, Shannon P. Sheedy, David M. Hough, C. Daniel Johnson, Henry J. Schiller, Mark A. Nathan, Thomas A. Foley and Rachel A. Lindor and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Calcified Tissue International.

In The Last Decade

Frank Earnest

8 papers receiving 326 citations

Author Peers

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

Author						Papers	Cites
Frank Earnest	245	116	78	61	42	8	342
L. Balliu	318 1.3×	31 0.3×	77 1.0×	50 0.8×	9 0.2×	11	382
Olli Kruuna	247 1.0×	33 0.3×	38 0.5×	93 1.5×	20 0.5×	13	382
F. Curros Doyon	135 0.6×	40 0.3×	138 1.8×	11 0.2×	149 3.5×	16	339
W. Pircher	128 0.5×	17 0.1×	54 0.7×	65 1.1×	92 2.2×	8	315
Dennis W. Foley	174 0.7×	37 0.3×	114 1.5×	11 0.2×	52 1.2×	10	298
R Pozzi	138 0.6×	50 0.4×	38 0.5×	31 0.5×	66 1.6×	12	325
Claus Schaefer	152 0.6×	18 0.2×	165 2.1×	20 0.3×	119 2.8×	10	403
Qi Feng	205 0.8×	80 0.7×	94 1.2×	53 0.9×	83 2.0×	8	322
Bradley L. Bufkin	237 1.0×	47 0.4×	178 2.3×	24 0.4×	126 3.0×	12	379
Kullada O. Pichakron	269 1.1×	13 0.1×	77 1.0×	45 0.7×	32 0.8×	9	336

Countries citing papers authored by Frank Earnest

Since Specialization

Citations

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

Fields of papers citing papers by Frank Earnest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Earnest. 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 Frank Earnest. The network helps show where Frank Earnest may publish in the future.

Co-authorship network of co-authors of Frank Earnest

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Earnest. A scholar is included among the top collaborators of Frank Earnest 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 Frank Earnest. Frank Earnest 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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