Dennis Mackin

4.1k total citations · 3 hit papers
58 papers, 3.0k citations indexed

About

Dennis Mackin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Dennis Mackin has authored 58 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Pulmonary and Respiratory Medicine and 27 papers in Radiation. Recurrent topics in Dennis Mackin's work include Radiomics and Machine Learning in Medical Imaging (32 papers), Radiation Therapy and Dosimetry (23 papers) and Advanced Radiotherapy Techniques (20 papers). Dennis Mackin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), Radiation Therapy and Dosimetry (23 papers) and Advanced Radiotherapy Techniques (20 papers). Dennis Mackin collaborates with scholars based in United States, South Africa and China. Dennis Mackin's 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 and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Dennis Mackin

56 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measuring Computed Tomography Scanner Variability of Radiomics Features

2015 507 citations Dennis Mackin, Xenia Fave et al. Investigative Radiology profile →
Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels

2017 444 citations Dennis Mackin, Laurence E. Court et al. Medical Physics profile →
Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer

2017 272 citations Xenia Fave, Lifei Zhang et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dennis Mackin United States	26	2.4k	1.4k	1.1k	669	443	58	3.0k
Catherine Cheze Le Rest France	29	3.9k 1.6×	1.1k 0.8×	1.1k 1.0×	512 0.8×	516 1.2×	74	4.2k
Kujtim Latifi United States	23	1.4k 0.6×	860 0.6×	563 0.5×	551 0.8×	296 0.7×	109	2.0k
Tianye Niu China	29	2.6k 1.1×	782 0.5×	1.4k 1.3×	453 0.7×	605 1.4×	139	3.2k
Michele Avanzo Italy	22	1.3k 0.6×	719 0.5×	400 0.4×	418 0.6×	253 0.6×	63	1.8k
Tim Lustberg Netherlands	11	3.8k 1.6×	1.5k 1.0×	1.0k 1.0×	398 0.6×	743 1.7×	17	4.3k
Thibaud Coroller United States	16	2.5k 1.0×	1.5k 1.0×	763 0.7×	117 0.2×	408 0.9×	32	2.9k
David Fried United States	18	1.6k 0.7×	809 0.6×	642 0.6×	173 0.3×	452 1.0×	60	2.0k
Aditya Apte United States	27	1.7k 0.7×	834 0.6×	356 0.3×	582 0.9×	542 1.2×	118	2.5k
Ulrike Schick France	30	1.8k 0.7×	1.4k 0.9×	415 0.4×	427 0.6×	732 1.7×	189	3.1k
Xenia Fave United States	13	1.8k 0.8×	755 0.5×	835 0.8×	98 0.1×	354 0.8×	25	1.9k

Countries citing papers authored by Dennis Mackin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dedes, G., S Peterson, Dennis Mackin, et al.. (2022). Comparison of reconstructed prompt gamma emissions using maximum likelihood estimation and origin ensemble algorithms for a Compton camera system tailored to proton range monitoring. Zeitschrift für Medizinische Physik. 33(2). 124–134. 5 indexed citations

Polf, J, et al.. (2021). The Effects of Compton Camera Data Acquisition and Readout Timing on PG Imaging for Proton Range Verification. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(3). 366–373. 8 indexed citations

Peterson, S, et al.. (2020). Secondary Particle Interactions in a Compton Camera Designed for in vivo Range Verification of Proton Therapy. IEEE Transactions on Radiation and Plasma Medical Sciences. 5(3). 383–391. 10 indexed citations

Peterson, S, Dennis Mackin, Yang Hao, et al.. (2020). Computational model for detector timing effects in Compton-camera based prompt-gamma imaging for proton radiotherapy. Physics in Medicine and Biology. 65(12). 125004–125004. 14 indexed citations

Luo, Dershan, Zhifei Wen, Dennis Mackin, et al.. (2020). Use of uniform shots for robust planning of mask-based treatment in Gamma Knife Icon. Physica Medica. 73. 135–157. 2 indexed citations

Zhu, Yitan, Abdallah Mohamed, Stephen Y. Lai, et al.. (2019). Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. JCO Clinical Cancer Informatics. 3(3). 1–9. 39 indexed citations

Ger, Rachel, Shouhao Zhou, Baher Elgohari, et al.. (2019). Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients. PLoS ONE. 14(9). e0222509–e0222509. 51 indexed citations

Owens, Constance A., Christine B. Peterson, Chad Tang, et al.. (2018). Lung tumor segmentation methods: Impact on the uncertainty of radiomics features for non-small cell lung cancer. PLoS ONE. 13(10). e0205003–e0205003. 58 indexed citations

Ger, Rachel, Shouhao Zhou, Hannah Lee, et al.. (2018). Comprehensive Investigation on Controlling for CT Imaging Variabilities in Radiomics Studies. Scientific Reports. 8(1). 13047–13047. 83 indexed citations

10.

Draeger, Emily, Dennis Mackin, S Peterson, et al.. (2018). 3D prompt gamma imaging for proton beam range verification. Physics in Medicine and Biology. 63(3). 35019–35019. 105 indexed citations

11.

Ger, Rachel, Carlos Cárdenas, Brian Anderson, et al.. (2018). Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics. Journal of Visualized Experiments. 24 indexed citations

12.

Mackin, Dennis, et al.. (2017). Prognostic value of combining a quantitative image feature from positron emission tomography with clinical factors in oligometastatic non-small cell lung cancer. Radiotherapy and Oncology. 126(2). 362–367. 25 indexed citations

13.

Fave, Xenia, Lifei Zhang, Jinzhong Yang, et al.. (2017). Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer. Scientific Reports. 7(1). 588–588. 272 indexed citations breakdown →

14.

Draeger, Emily, et al.. (2017). Feasibility Studies of a New Event Selection Method to Improve Spatial Resolution of Compton Imaging for Medical Applications. IEEE Transactions on Radiation and Plasma Medical Sciences. 1(4). 358–367. 19 indexed citations

15.

Mackin, Dennis, Xenia Fave, Lifei Zhang, et al.. (2015). Measuring Computed Tomography Scanner Variability of Radiomics Features. Investigative Radiology. 50(11). 757–765. 507 indexed citations breakdown →

16.

Polf, J, Stephen Avery, Dennis Mackin, & Sam Beddar. (2015). Imaging of prompt gamma rays emitted during delivery of clinical proton beams with a Compton camera: feasibility studies for range verification. Physics in Medicine and Biology. 60(18). 7085–7099. 107 indexed citations

17.

Polf, J, Dennis Mackin, Eunsin Lee, Stephen Avery, & Sam Beddar. (2014). Detecting prompt gamma emission during proton therapy: the effects of detector size and distance from the patient. Physics in Medicine and Biology. 59(9). 2325–2340. 24 indexed citations

18.

Polf, J, Dennis Mackin, M. McCleskey, et al.. (2013). Measurement of characteristic prompt gamma rays emitted from oxygen and carbon in tissue-equivalent samples during proton beam irradiation. Physics in Medicine and Biology. 58(17). 5821–5831. 52 indexed citations

19.

Mackin, Dennis, et al.. (2012). SU‐E‐J‐79: Using the Distance of Closest Approach to Improve Compton Camera Image Quality. Medical Physics. 39(6Part7). 3670–3670. 1 indexed citations

20.

Mackin, Dennis, J Polf, S Peterson, & Sam Beddar. (2012). The effects of Doppler broadening and detector resolution on the performance of three‐stage Compton cameras. Medical Physics. 40(1). 12402–12402. 28 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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