Rachael Y. Roberts

3.1k total citations
8 papers, 200 citations indexed

About

Rachael Y. Roberts is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Rachael Y. Roberts has authored 8 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Rachael Y. Roberts's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Pleural and Pulmonary Diseases (2 papers). Rachael Y. Roberts is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Pleural and Pulmonary Diseases (2 papers). Rachael Y. Roberts collaborates with scholars based in United States and Malaysia. Rachael Y. Roberts's co-authors include Samuel G. Armato, Heber MacMahon, Philip Caligiuri, Roger Engelmann, Adam Starkey, William F. Sensakovic, Feng Li, Christopher M. Straus, Hedy L. Kindler and Edwin J.R. van Beek and has published in prestigious journals such as Medical Physics, Academic Radiology and Journal of Thoracic Imaging.

In The Last Decade

Rachael Y. Roberts

8 papers receiving 194 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rachael Y. Roberts United States 5 160 148 37 26 10 8 200
JianZhong Qian United States 8 93 0.6× 82 0.6× 19 0.5× 13 0.5× 25 2.5× 20 137
Erdi Çallı Netherlands 6 270 1.7× 106 0.7× 34 0.9× 106 4.1× 34 3.4× 8 333
Ekta Dharaiya United States 11 243 1.5× 222 1.5× 88 2.4× 15 0.6× 8 0.8× 22 321
Alaleh Rashidnasab United Kingdom 7 121 0.8× 134 0.9× 31 0.8× 71 2.7× 5 0.5× 13 180
Richard W. Lee United Kingdom 4 125 0.8× 50 0.3× 37 1.0× 89 3.4× 11 1.1× 6 240
J. Michael O’Connor United States 9 211 1.3× 165 1.1× 120 3.2× 58 2.2× 9 0.9× 33 281
Are Losnegård Norway 6 99 0.6× 99 0.7× 17 0.5× 11 0.4× 21 2.1× 14 143
Benjamin Irving United Kingdom 9 130 0.8× 48 0.3× 43 1.2× 22 0.8× 43 4.3× 19 202
Benjamin L. Odry United States 8 81 0.5× 101 0.7× 21 0.6× 12 0.5× 17 1.7× 25 143

Countries citing papers authored by Rachael Y. Roberts

Since Specialization
Citations

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

Fields of papers citing papers by Rachael Y. Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachael Y. Roberts. 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 Rachael Y. Roberts. The network helps show where Rachael Y. Roberts may publish in the future.

Co-authorship network of co-authors of Rachael Y. Roberts

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

All Works

8 of 8 papers shown
1.
Sensakovic, William F., Adam Starkey, Rachael Y. Roberts, et al.. (2010). The influence of initial outlines on manual segmentation. Medical Physics. 37(5). 2153–2158. 4 indexed citations
2.
Sensakovic, William F., Samuel G. Armato, Christopher M. Straus, et al.. (2010). Computerized segmentation and measurement of malignant pleural mesothelioma. Medical Physics. 38(1). 238–244. 48 indexed citations
3.
Sensakovic, William F., Adam Starkey, Rachael Y. Roberts, & Samuel G. Armato. (2008). Discrete‐space versus continuous‐space lesion boundary and area definitions. Medical Physics. 35(9). 4070–4078. 3 indexed citations
4.
MacMahon, Heber, Feng Li, Roger Engelmann, Rachael Y. Roberts, & Samuel G. Armato. (2008). Dual Energy Subtraction and Temporal Subtraction Chest Radiography. Journal of Thoracic Imaging. 23(2). 77–85. 40 indexed citations
5.
Armato, Samuel G., Rachael Y. Roberts, Masha Kocherginsky, et al.. (2008). Assessment of Radiologist Performance in the Detection of Lung Nodules. Academic Radiology. 16(1). 28–38. 62 indexed citations
6.
Armato, Samuel G., Rachael Y. Roberts, Michael F. McNitt‐Gray, et al.. (2007). The Lung Image Database Consortium (LIDC). Academic Radiology. 14(12). 1455–1463. 40 indexed citations
7.
Armato, Samuel G., Rachael Y. Roberts, Geoffrey McLennan, et al.. (2007). The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 651429–651429. 2 indexed citations
8.
Armato, Samuel G., Erik Pearson, Rachael Y. Roberts, William F. Sensakovic, & Philip Caligiuri. (2007). TU‐D‐L100J‐05: Assessment of Mesothelioma Tumor Response: Correlation of Tumor Thickness and Tumor Area. Medical Physics. 34(6Part18). 2554–2554. 1 indexed citations

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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