David Farnell

114 total papers · 949 total citations
22 papers, 374 citations indexed

About

David Farnell is a scholar working on Oncology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, David Farnell has authored 22 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 7 papers in Artificial Intelligence. Recurrent topics in David Farnell's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Colorectal Cancer Screening and Detection (3 papers). David Farnell is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Colorectal Cancer Screening and Detection (3 papers). David Farnell collaborates with scholars based in Canada, United States and Germany. David Farnell's co-authors include C. Blake Gilks, David G. Huntsman, Ali Bashashati, Milton T. Brady, John M. Yanni, G. Graff, Lori K. Weimer, Joan M. Spellman, Daniel A. Gamache and Steven T. Miller and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Farnell

20 papers receiving 369 citations

Author Peers

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

Author						Papers	Cites
David Farnell	94	92	87	69	68	22	374
Elif Peştereli	68 0.7×	62 0.7×	9 0.1×	101 1.5×	27 0.4×	28	442
M. M. M. Pahlplatz	20 0.2×	28 0.3×	95 1.1×	10 0.1×	44 0.6×	28	445
Şeyda Karaveli	71 0.8×	82 0.9×	9 0.1×	37 0.5×	26 0.4×	34	385
Yan Li	37 0.4×	40 0.4×	9 0.1×	13 0.2×	22 0.3×	19	353
Guanyu Ruan	41 0.4×	38 0.4×	22 0.3×	21 0.3×	12 0.2×	25	371
LiVolsi Va	53 0.6×	54 0.6×	5 0.1×	7 0.1×	63 0.9×	20	414
Lei Yuan	50 0.5×	77 0.8×	13 0.1×	8 0.1×	19 0.3×	31	378
N Kavantzas	29 0.3×	13 0.1×	7 0.1×	27 0.4×	24 0.4×	31	405
Vahideh Keyvani	21 0.2×	34 0.4×	25 0.3×	12 0.2×	37 0.5×	19	443
Angela Chan	25 0.3×	61 0.7×	11 0.1×	12 0.2×	22 0.3×	26	352

Countries citing papers authored by David Farnell

Since Specialization

Citations

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

Fields of papers citing papers by David Farnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Farnell

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