James Michael Murphy

858 citations
50 papers · 578 · h-index 11

Impact in

Papers in

James Michael Murphy

46 papers receiving 543 citations

Peers

James Michael Murphy
Comparison fields: 5 of 109
  • Media Technology 114
  • Internal Medicine 22
  • Computer Vision and Pattern Recognition 128
  • Critical Care and Intensive Care Medicine 20
  • Hematology 43
Replace Jyh‐Wen Chai with:
Jyh‐Wen Chai Taiwan
Philipp Peloschek Austria
Naciye Sinem Gezer Türkiye
George Révész United States
Daniel F. Toth Germany
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Citations per field
00.5×5×10×14.3×
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Citations per year

Countries citing papers authored by James Michael Murphy

Since Specialization
Citations

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

Fields of papers citing papers by James Michael Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James Michael 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 James Michael Murphy Line = papers co-authored together James Michael Murphy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Short- and long-term risks after exposure to diagnostic ultrasound in utero.
1984104
2 200195
3 201562
4 202445
5 201920
6 197720
7 200420
8
Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms
202020
9 202015
10 202214
11 202314
12 202211
13 202111
14 202211
15 201511
16 201410
17 20209
18 20227
19 20157
20 20217

About James Michael Murphy

James Michael Murphy is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Anesthesiology and Pain Medicine and Computational Theory and Mathematics, having authored 50 papers that have together received 578 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (16 papers), Image and Signal Denoising Methods (9 papers), Advanced Image Fusion Techniques (9 papers), Image Retrieval and Classification Techniques (6 papers), Advanced Clustering Algorithms Research (6 papers), Geochemistry and Geologic Mapping (4 papers), Bioinformatics and Genomic Networks (4 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Media Technology (114 citations), Internal Medicine (22 citations), Computer Vision and Pattern Recognition (128 citations), Critical Care and Intensive Care Medicine (20 citations) and Hematology (43 citations). James Michael Murphy has collaborated with scholars based in United States, Hong Kong and Italy. Frequent co-authors include Jacqueline Le Moigne, Miriam Orleans, Albert D. Haverkamp, David J. Harding, Mauro Maggioni, Kangning Cui, Robert J. Plemmons, Linda J. Jacobson, Michele R. Hacker and Cassandra D. Josephson. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Bioinformatics, Remote Sensing, IEEE Geoscience and Remote Sensing Letters and IEEE Transactions on Signal Processing.

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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