Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
- Journal
- Scientific Reports
In The Last Decade
doi.org/10.1038/srep11044 →Countries where authors are citing Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
This map shows the geographic impact of Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer. 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 Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer more than expected).
Fields of papers citing Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
This network shows the impact of Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer.
About Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
This paper, published in 2015, received 358 indexed citations . Written by Chintan Parmar, Ralph T. H. Leijenaar, Patrick Großmann, Emmanuel Rios Velazquez, Johan Bussink, D. Rietveld, Michelle M. Rietbergen, Benjamin Haibe‐Kains, Philippe Lambin and Hugo J.W.L. Aerts covering the research area of Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. It is primarily cited by scholars working on Radiology, Nuclear Medicine and Imaging (344 citations), Pulmonary and Respiratory Medicine (150 citations) and Biomedical Engineering (107 citations). Published in Scientific Reports.
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.
This paper is also available at doi.org/10.1038/srep11044.