Charles S. Haw

43 total papers · 1.3k total citations
26 papers, 389 citations indexed

About

Charles S. Haw is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Charles S. Haw has authored 26 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Neurology, 5 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Charles S. Haw's work include Intracranial Aneurysms: Treatment and Complications (16 papers), Vascular Malformations Diagnosis and Treatment (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Charles S. Haw is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (16 papers), Vascular Malformations Diagnosis and Treatment (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). Charles S. Haw collaborates with scholars based in Canada, United States and Australia. Charles S. Haw's co-authors include Robert A. Willinsky, Karel G. terBrugge, George Tomlinson, Paul Steinbok, Ronit Agid, Gary Redekop, Manraj K. S. Heran, Irene Vanek, Peter Gooderham and Karel G. ter Brugge and has published in prestigious journals such as Stroke, Journal of neurosurgery and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Charles S. Haw

25 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Charles S. Haw	287	69	54	45	38	26	389
D. Spagnoli	229 0.8×	97 1.4×	37 0.7×	51 1.1×	33 0.9×	23	376
Ronald Moussa	149 0.5×	61 0.9×	83 1.5×	117 2.6×	36 0.9×	26	399
Koichiro Ogura	237 0.8×	69 1.0×	32 0.6×	34 0.8×	20 0.5×	22	354
Yoshimi Matsuoka	243 0.8×	76 1.1×	87 1.6×	96 2.1×	31 0.8×	30	441
E Sobata	273 1.0×	111 1.6×	54 1.0×	40 0.9×	8 0.2×	18	348
Roger M. Krzyżewski	252 0.9×	75 1.1×	157 2.9×	41 0.9×	26 0.7×	43	415
Kazufumi Kamikaseda	206 0.7×	70 1.0×	30 0.6×	94 2.1×	29 0.8×	26	420
J.J. van Overbeeke	184 0.6×	96 1.4×	83 1.5×	64 1.4×	19 0.5×	22	364
Moujahed Labidi	101 0.4×	127 1.8×	76 1.4×	137 3.0×	17 0.4×	32	398
Alev Güven	90 0.3×	75 1.1×	25 0.5×	48 1.1×	20 0.5×	31	401

Countries citing papers authored by Charles S. Haw

Since Specialization

Citations

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

Fields of papers citing papers by Charles S. Haw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles S. Haw. 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 Charles S. Haw. The network helps show where Charles S. Haw may publish in the future.

Co-authorship network of co-authors of Charles S. Haw

This figure shows the co-authorship network connecting the top 25 collaborators of Charles S. Haw. A scholar is included among the top collaborators of Charles S. Haw 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 Charles S. Haw. Charles S. Haw 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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