Dennis Mackin
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Biomedical Engineering top 2%
- Radiation top 1%
- Oncology top 10%
- Co-authors
- Laurence E. CourtJinzhong YangXenia FaveLifei ZhangA. Kyle JonesSam BeddarJ PolfDavid Fried
- Topics
- Radiomics and Machine Learning in Medical Imaging (32 papers)Radiation Therapy and Dosimetry (23 papers)Advanced Radiotherapy Techniques (20 papers)
- Partner nations
- United StatesSouth AfricaChina
In The Last Decade
Dennis Mackin
56 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Radiology, Nuclear Medicine and Imaging 2.4k
- Pulmonary and Respiratory Medicine 1.4k
- Biomedical Engineering 1.1k
- Radiation 669
- Oncology 443
Countries citing papers authored by Dennis Mackin
This map shows the geographic impact of Dennis Mackin'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 Dennis Mackin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Mackin more than expected).
Fields of papers citing papers by Dennis Mackin
This network shows the impact of papers produced by Dennis Mackin. 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 Dennis Mackin. The network helps show where Dennis Mackin may publish in the future.
Co-authorship network of co-authors of Dennis Mackin
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Mackin. A scholar is included among the top collaborators of Dennis Mackin 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 Dennis Mackin. Dennis Mackin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 39 | |
| 7 | 51 | |
| 8 | 58 | |
| 9 | 83 | |
| 10 | 105 | |
| 11 | 24 | |
| 12 | 25 | |
| 13 | Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancerbreakdown → | 272 |
| 14 | 19 | |
| 15 | Measuring Computed Tomography Scanner Variability of Radiomics Featuresbreakdown → | 507 |
| 16 | 107 | |
| 17 | 24 | |
| 18 | 52 | |
| 19 | 1 | |
| 20 | 28 |
About Dennis Mackin
Dennis Mackin is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 3.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (32 papers), Radiation Therapy and Dosimetry (23 papers) and Advanced Radiotherapy Techniques (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Radiation (669 citations) and Health Informatics (73 citations). Dennis Mackin has collaborated with scholars based in United States, South Africa and China. Frequent co-authors include Laurence E. Court, Jinzhong Yang, Xenia Fave, Lifei Zhang, A. Kyle Jones, Sam Beddar, J Polf, David Fried, Cristina T. Dodge and D Followill. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and 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.