Keefe Murphy

931 citations
22 papers · 592 · h-index 10

Impact in

Papers in

Keefe Murphy

20 papers receiving 573 citations

Peers

Keefe Murphy
Comparison fields: 5 of 98
  • Pulmonary and Respiratory Medicine 244
  • Cancer Research 86
  • Gastroenterology 25
  • Oncology 105
  • Obstetrics and Gynecology 19
Replace Fortunato Bianconi with:
Fortunato Bianconi Italy
Hans M. Westgeest Netherlands
Patrick Lebok Germany
Pasquale Lombardi Italy
Rakesh Chopra India
Russell Broaddus United States
Claire S. Zhu United States
Keita Koseki Japan
M Fukushima Japan
Zhao Yang China
Keefe Murphy relative to Fortunato Bianconi Italy Fortunato Bianconi's profile →
Citations per field
00.5×6.3×
Fortunato Bianconi · 1×
Citations per year

Countries citing papers authored by Keefe Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Keefe Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Keefe Murphy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Keefe Murphy Line = papers co-authored together Keefe Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994132
2 2017110
3 199476
4 201659
5 201844
6 201538
7 200630
8 201929
9 202016
10 202014
11 20159
12 19807
13 20247
14 19927
15
Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models
20215
16 20234
17 20042
18
Parsimonious Model-Based Clustering with Covariates
20171
19 20151
20 20161

About Keefe Murphy

Keefe Murphy is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Statistics and Probability, Molecular Biology and Physiology, having authored 22 papers that have together received 592 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (5 papers), Bayesian Methods and Mixture Models (4 papers), Prostate Cancer Treatment and Research (3 papers), Advanced Clustering Algorithms Research (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (244 citations), Cancer Research (86 citations), Gastroenterology (25 citations), Oncology (105 citations) and Obstetrics and Gynecology (19 citations). Keefe Murphy has collaborated with scholars based in Ireland, United Kingdom and Canada. Frequent co-authors include Thomas Brendan Murphy, R. William G. Watson, Ram Reifen, Brendan Drumm, Iris Rasooly, Philip M. Sherman, Peter Venner, Andrew E. Armitage, Bridget L. Findlay and I. F. Tannock. Their work appears in journals such as British Journal of Urology, International Journal of Surgery, Molecular Oncology, Journal of Clinical Oncology and BMC Medical Informatics and Decision Making.

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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