Jacob Peoples

492 total citations
9 papers, 54 citations indexed

About

Jacob Peoples is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jacob Peoples has authored 9 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Biomedical Engineering and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jacob Peoples's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Jacob Peoples is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Jacob Peoples collaborates with scholars based in Canada, United States and Iran. Jacob Peoples's co-authors include Amber L. Simpson, Randy E. Ellis, Gianluigi Bisleri, Richard Kinh Gian, Natally Horvat, Maria El Homsi, Niamh M. Long, Natalie Gangai, Gábor Fichtinger and Michael I. D’Angelica and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and BMC Cancer.

In The Last Decade

Jacob Peoples

9 papers receiving 53 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob Peoples Canada	4	38	13	11	10	9	9	54
Elvira Stellato Italy	5	57 1.5×	27 2.1×	5 0.5×	9 0.9×	18 2.0×	11	107
Yiwen Zhang China	8	61 1.6×	6 0.5×	4 0.4×	20 2.0×	8 0.9×	20	119
Amel Amalou United States	5	37 1.0×	14 1.1×	3 0.3×	13 1.3×	21 2.3×	6	72
Benson A. Babu United States	5	50 1.3×	5 0.4×	3 0.3×	11 1.1×	40 4.4×	11	88
Clare McGenity United Kingdom	6	35 0.9×	17 1.3×	5 0.5×	5 0.5×	3 0.3×	10	107
Golnoosh Ansari United States	4	35 0.9×	9 0.7×	4 0.4×	7 0.7×	6 0.7×	13	59
Krishna Nand Keshava Murthy United States	5	61 1.6×	7 0.5×	3 0.3×	22 2.2×	13 1.4×	10	134
Maxime Blain France	5	61 1.6×	6 0.5×	7 0.6×	23 2.3×	31 3.4×	12	124
Imad Bousaid France	3	49 1.3×	8 0.6×	2 0.2×	33 3.3×	13 1.4×	3	89
Stefan Braunewell Germany	5	29 0.8×	3 0.2×	10 0.9×	32 3.2×	6 0.7×	5	61

Countries citing papers authored by Jacob Peoples

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Peoples

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob Peoples. 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 Jacob Peoples. The network helps show where Jacob Peoples may publish in the future.

Co-authorship network of co-authors of Jacob Peoples

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

All Works

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9 of 9 papers shown

Peoples, Jacob, Mohammad Hamghalam, Natalie Gangai, et al.. (2025). Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases. PubMed. 2(UNSURE2023). 2326–2357. 1 indexed citations

Peoples, Jacob, et al.. (2025). Radiomic-based approaches in the multi-metastatic setting: a quantitative review. BMC Cancer. 25(1). 538–538. 1 indexed citations

Simpson, Amber L., Jacob Peoples, John M. Creasy, et al.. (2024). Preoperative CT and survival data for patients undergoing resection of colorectal liver metastases. Scientific Data. 11(1). 172–172. 14 indexed citations

Wang, Ge, et al.. (2024). Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction. SHILAP Revista de lepidopterología. 7(1). 13–13. 1 indexed citations

Scott, Jessica M., Meghan Michalski, Amber L. Simpson, et al.. (2023). Mechanisms of Exercise Intolerance Across the Breast Cancer Continuum: A Pooled Analysis of Individual Patient Data. Medicine & Science in Sports & Exercise. 56(4). 590–599. 2 indexed citations

Hu, Ricky, Ishita Chen, Jacob Peoples, et al.. (2022). Radiomics artificial intelligence modelling for prediction of local control for colorectal liver metastases treated with radiotherapy. Physics and Imaging in Radiation Oncology. 24. 36–42. 11 indexed citations

Horvat, Natally, Maria El Homsi, Jacob Peoples, et al.. (2021). A primer on texture analysis in abdominal radiology. Abdominal Radiology. 47(9). 2972–2985. 12 indexed citations

Peoples, Jacob, et al.. (2020). Efficient automatic 2D/3D registration of cardiac ultrasound and CT images. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 9(4). 438–446. 2 indexed citations

Peoples, Jacob, Gianluigi Bisleri, & Randy E. Ellis. (2019). Deformable multimodal registration for navigation in beating-heart cardiac surgery. International Journal of Computer Assisted Radiology and Surgery. 14(6). 955–966. 10 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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