William H. Nailon

121 total papers · 1.4k total citations
38 papers, 775 citations indexed

About

William H. Nailon is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, William H. Nailon has authored 38 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Biomedical Engineering and 8 papers in Radiation. Recurrent topics in William H. Nailon's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced Radiotherapy Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). William H. Nailon is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Advanced Radiotherapy Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). William H. Nailon collaborates with scholars based in United Kingdom, United States and Netherlands. William H. Nailon's co-authors include Stephen McLaughlin, Timothy R. Spencer, M.P. Ramo, Duncan B. McLaren, James W. Ironside, Mark Head, Matthew Bishop, Diane Ritchie, Mike E. Davies and Linda McCardle and has published in prestigious journals such as Circulation, PLoS ONE and Analytical Chemistry.

In The Last Decade

William H. Nailon

35 papers receiving 745 citations

Author Peers

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

Author						Papers	Cites
William H. Nailon	239	192	179	141	93	38	775
Ahmed Badawi	200 0.8×	177 0.9×	53 0.3×	94 0.7×	123 1.3×	46	816
Dong Hye Ye	335 1.4×	246 1.3×	53 0.3×	146 1.0×	112 1.2×	53	776
Tommy Löfstedt	103 0.4×	185 1.0×	215 1.2×	78 0.6×	142 1.5×	34	743
Jinke Wang	233 1.0×	237 1.2×	73 0.4×	110 0.8×	178 1.9×	52	709
Can Zhao	369 1.5×	369 1.9×	51 0.3×	136 1.0×	176 1.9×	46	839
Wenjun Xia	175 0.7×	456 2.4×	79 0.4×	376 2.7×	53 0.6×	67	890
Binjie Qin	225 0.9×	346 1.8×	47 0.3×	228 1.6×	155 1.7×	37	751
Alper Güngör	183 0.8×	229 1.2×	140 0.8×	282 2.0×	100 1.1×	41	707
Giovanni Luca Masala	168 0.7×	191 1.0×	44 0.2×	147 1.0×	307 3.3×	61	851
Peter Santago	211 0.9×	238 1.2×	64 0.4×	77 0.5×	88 0.9×	35	773

Countries citing papers authored by William H. Nailon

Since Specialization

Citations

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

Fields of papers citing papers by William H. Nailon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Nailon. 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 William H. Nailon. The network helps show where William H. Nailon may publish in the future.

Co-authorship network of co-authors of William H. Nailon

This figure shows the co-authorship network connecting the top 25 collaborators of William H. Nailon. A scholar is included among the top collaborators of William H. Nailon 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 William H. Nailon. William H. Nailon 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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