Evan McCreedy

929 total citations
25 papers, 590 citations indexed

About

Evan McCreedy is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Evan McCreedy has authored 25 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Biomedical Engineering and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Evan McCreedy's work include Medical Image Segmentation Techniques (9 papers), Advanced Neural Network Applications (6 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Evan McCreedy is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Advanced Neural Network Applications (6 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Evan McCreedy collaborates with scholars based in United States, Australia and Finland. Evan McCreedy's co-authors include Matthew McAuliffe, William Gandler, Ruida Cheng, Alexandra Bokinsky, Zhirong Bao, Yicong Wu, Ryan Christensen, Hari Shroff, Abhishek Kumar and Daniel A. Colón‐Ramos and has published in prestigious journals such as Nature Protocols, Magnetic Resonance in Medicine and Molecular Biology of the Cell.

In The Last Decade

Evan McCreedy

24 papers receiving 580 citations

Peers

Evan McCreedy
Comparison fields: 5 of 112
  • Biomedical Engineering 193
  • Radiology, Nuclear Medicine and Imaging 127
  • Biophysics 112
  • Pulmonary and Respiratory Medicine 106
  • Molecular Biology 102
Replace Stefan Wörz with:
Stefan Wörz Germany
Sharmishtaa Seshamani United States
Daniel Jiménez‐Carretero Spain
Chong Zhang Spain
Wenxuan Liang United States
Martin Baiker Netherlands
Belma Dogdas United States
Olutayo I. Olubiyi United States
Oliver Schoppe Germany
Irene Costantini Italy
Stefan Wörz Germany View profile →
Citations per field, relative to Evan McCreedy
Evan McCreedy · 1×
Citations per year, relative to Evan McCreedy
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Countries citing papers authored by Evan McCreedy

Since Specialization
Citations

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

Fields of papers citing papers by Evan McCreedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan McCreedy

This figure shows the co-authorship network connecting the top 25 collaborators of Evan McCreedy. A scholar is included among the top collaborators of Evan McCreedy 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 Evan McCreedy. Evan McCreedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 10
3 9
4 14
5 13
6 18
7 32
8 55
9 9
10 27
11 132
12 15
13 2
14 0
15 3
16 58
17 1
18 111
19 15
20 3

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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