Gregory R. Hart

2.3k total citations
25 papers, 961 citations indexed

About

Gregory R. Hart is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Gregory R. Hart has authored 25 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Oncology and 7 papers in Artificial Intelligence. Recurrent topics in Gregory R. Hart's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Colorectal Cancer Screening and Detection (4 papers). Gregory R. Hart is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Colorectal Cancer Screening and Detection (4 papers). Gregory R. Hart collaborates with scholars based in United States, Australia and Canada. Gregory R. Hart's co-authors include Jun Deng, Bradley J. Nartowt, Barry D. Weiss, Wazir Muhammad, Ying Liang, Daniel McGee, Michael Burgoon, Kenneth J. Smith, Jay Blanchard and Barbara H. Warren and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Gregory R. Hart

23 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory R. Hart United States	14	306	299	208	190	141	25	961
Gail Barker United States	15	353 1.2×	232 0.8×	279 1.3×	185 1.0×	80 0.6×	34	1.2k
Gary Groot Canada	17	189 0.6×	221 0.7×	297 1.4×	262 1.4×	65 0.5×	73	1.2k
Kerstin Noëlle Vokinger Switzerland	19	273 0.9×	340 1.1×	88 0.4×	158 0.8×	101 0.7×	68	1.6k
Geraldine McGinty United States	18	67 0.2×	456 1.5×	250 1.2×	168 0.9×	99 0.7×	58	1.1k
Megan Coffee United States	12	171 0.6×	264 0.9×	148 0.7×	60 0.3×	39 0.3×	19	1.1k
Idalid Franco United States	13	241 0.8×	639 2.1×	73 0.4×	235 1.2×	599 4.2×	58	1.3k
Selen Bozkurt Türkiye	20	312 1.0×	214 0.7×	52 0.3×	101 0.5×	259 1.8×	111	1.3k
Ziyue Zu China	6	185 0.6×	528 1.8×	80 0.4×	163 0.9×	120 0.9×	13	1.4k
Skyler B. Johnson United States	18	106 0.3×	158 0.5×	225 1.1×	245 1.3×	392 2.8×	89	1.4k
Knut Magne Augestad Norway	21	134 0.4×	100 0.3×	90 0.4×	537 2.8×	153 1.1×	55	1.5k

Countries citing papers authored by Gregory R. Hart

Since Specialization

Citations

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

Fields of papers citing papers by Gregory R. Hart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory R. Hart. 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 Gregory R. Hart. The network helps show where Gregory R. Hart may publish in the future.

Co-authorship network of co-authors of Gregory R. Hart

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

All Works

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20 of 20 papers shown

Hart, Gregory R., et al.. (2023). Long-term survival and second malignant tumor prediction in pediatric, adolescent, and young adult cancer survivors using Random Survival Forests: a SEER analysis. Scientific Reports. 13(1). 1911–1911. 4 indexed citations

Hart, Gregory R., et al.. (2023). Statistical biopsy: An emerging screening approach for early detection of cancers. Frontiers in Artificial Intelligence. 5. 1059093–1059093.

Kerr, Cliff C., Dina Mistry, Robyn M. Stuart, et al.. (2021). Controlling COVID-19 via test-trace-quarantine. Nature Communications. 12(1). 2993–2993. 73 indexed citations

Jackson, Michael L., Gregory R. Hart, Denise J. McCulloch, et al.. (2021). Effects of weather-related social distancing on city-scale transmission of respiratory viruses: a retrospective cohort study. BMC Infectious Diseases. 21(1). 335–335. 13 indexed citations

Hart, Gregory R., Gloria S. Huang, Ying Liang, et al.. (2020). Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence. Frontiers in Artificial Intelligence. 3. 539879–539879. 20 indexed citations

Nartowt, Bradley J., et al.. (2020). Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification. Frontiers in Big Data. 3. 6–6. 46 indexed citations

Liang, Ying, Wazir Muhammad, Gregory R. Hart, et al.. (2020). A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation. Scientific Reports. 10(1). 9808–9808. 21 indexed citations

Muhammad, Wazir, Gregory R. Hart, Bradley J. Nartowt, & Jun Deng. (2019). In silico Simulation to Quantify Liver Cancer Risk with Smoking. International Journal of Radiation Oncology*Biology*Physics. 105(1). E137–E137. 1 indexed citations

Nartowt, Bradley J., Gregory R. Hart, Xavier Llor, et al.. (2019). Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. PLoS ONE. 14(8). e0221421–e0221421. 38 indexed citations

10.

Hart, Gregory R., et al.. (2019). Predicting breast cancer risk using personal health data and machine learning models. PLoS ONE. 14(12). e0226765–e0226765. 91 indexed citations

11.

Muhammad, Wazir, Ying Liang, Gregory R. Hart, Bradley J. Nartowt, & Jun Deng. (2019). Monte Carlo simulation of coherently scattered photons based on the inverse-sampling technique. Acta Crystallographica Section A Foundations and Advances. 76(1). 70–78. 1 indexed citations

12.

Muhammad, Wazir, Gregory R. Hart, Bradley J. Nartowt, et al.. (2019). Pancreatic Cancer Prediction Through an Artificial Neural Network. Frontiers in Artificial Intelligence. 2. 2–2. 110 indexed citations

13.

Hart, Gregory R., Bradley J. Nartowt, Wazir Muhammad, et al.. (2019). Stratifying Ovarian Cancer Risk Using Personal Health Data. Frontiers in Big Data. 2. 24–24. 6 indexed citations

14.

Hart, Gregory R., et al.. (2018). Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network. Scientific Reports. 8(1). 1701–1701. 70 indexed citations

15.

Hart, Gregory R., Gowthaman Gunabushanam, Ying Liang, et al.. (2018). Lung Nodule Detection via Deep Reinforcement Learning. Frontiers in Oncology. 8. 86 indexed citations

16.

Hart, Gregory R., et al.. (2018). A multi-parameterized artificial neural network for lung cancer risk prediction. PLoS ONE. 13(10). e0205264–e0205264. 56 indexed citations

17.

Hart, Gregory R. & Andrew L. Ferguson. (2015). Error catastrophe and phase transition in the empirical fitness landscape of HIV. Physical Review E. 91(3). 32705–32705. 8 indexed citations

18.

Hart, Gregory R. & Andrew L. Ferguson. (2015). Empirical fitness models for hepatitis C virus immunogen design. Physical Biology. 12(6). 66006–66006. 16 indexed citations

19.

Weiss, Barry D., Jay Blanchard, Daniel McGee, et al.. (1994). Illiteracy among Medicaid Recipients and its Relationship to Health Care Costs. Journal of Health Care for the Poor and Underserved. 5(2). 99–111. 170 indexed citations

20.

Weiss, Barry D., et al.. (1991). The Relationship Between Literacy and Health. Journal of Health Care for the Poor and Underserved. 1(4). 351–363. 97 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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