Nathan D. Cahill

97 total papers · 1.7k total citations
67 papers, 1000 citations indexed

About

Nathan D. Cahill is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nathan D. Cahill has authored 67 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nathan D. Cahill's work include Medical Image Segmentation Techniques (19 papers), Remote-Sensing Image Classification (11 papers) and Medical Imaging Techniques and Applications (8 papers). Nathan D. Cahill is often cited by papers focused on Medical Image Segmentation Techniques (19 papers), Remote-Sensing Image Classification (11 papers) and Medical Imaging Techniques and Applications (8 papers). Nathan D. Cahill collaborates with scholars based in United States, United Kingdom and Canada. Nathan D. Cahill's co-authors include Stefi A. Baum, Andrew M. Michael, Darren A. Narayan, Tyler L. Hayes, Christopher Kanan, J. Alison Noble, Gajendra J. Katuwal, David J. Hawkes, David W. Messinger and Tonya White and has published in prestigious journals such as PLoS ONE, Monthly Notices of the Royal Astronomical Society and Schizophrenia Bulletin.

In The Last Decade

Nathan D. Cahill

61 papers receiving 950 citations

Author Peers

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

Author						Papers	Cites
Nathan D. Cahill	307	283	189	169	119	67	1000
Mohammad Sadegh Helfroush	601 2.0×	157 0.6×	410 2.2×	208 1.2×	165 1.4×	110	1.2k
Feng Zhao	234 0.8×	300 1.1×	258 1.4×	143 0.8×	35 0.3×	93	1.2k
Mukund Balasubramanian	283 0.9×	260 0.9×	220 1.2×	210 1.2×	52 0.4×	27	948
M. Zervakis	192 0.6×	351 1.2×	96 0.5×	216 1.3×	88 0.7×	48	861
Qiu‐Hua Lin	172 0.6×	352 1.2×	109 0.6×	183 1.1×	48 0.4×	64	1.2k
Sunanda Mitra	306 1.0×	242 0.9×	221 1.2×	175 1.0×	61 0.5×	118	1.1k
Pantelis A. Asvestas	267 0.9×	166 0.6×	143 0.8×	205 1.2×	60 0.5×	82	836
Lijuan Duan	419 1.4×	315 1.1×	247 1.3×	23 0.1×	83 0.7×	95	1.1k
M. Ashraful Amin	540 1.8×	72 0.3×	221 1.2×	77 0.5×	68 0.6×	105	1.1k
Temujin Gautama	244 0.8×	198 0.7×	131 0.7×	39 0.2×	54 0.5×	25	844

Countries citing papers authored by Nathan D. Cahill

Since Specialization

Citations

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

Fields of papers citing papers by Nathan D. Cahill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan D. Cahill. 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 Nathan D. Cahill. The network helps show where Nathan D. Cahill may publish in the future.

Co-authorship network of co-authors of Nathan D. Cahill

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan D. Cahill. A scholar is included among the top collaborators of Nathan D. Cahill 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 Nathan D. Cahill. Nathan D. Cahill 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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