Anthony Ortiz

446 total citations
19 papers, 198 citations indexed

About

Anthony Ortiz is a scholar working on Radiology, Nuclear Medicine and Imaging, Media Technology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anthony Ortiz has authored 19 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Media Technology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anthony Ortiz's work include Remote-Sensing Image Classification (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Automated Road and Building Extraction (3 papers). Anthony Ortiz is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Automated Road and Building Extraction (3 papers). Anthony Ortiz collaborates with scholars based in United States, United Kingdom and Canada. Anthony Ortiz's co-authors include Juan Lavista Ferres, Caleb Robinson, Rahul Dodhia, Ivan S. Klyuzhin, Arman Rahmim, Yixi Xu, Arindam Banerjee, Sunil Gupta, Jane Wang and Pavan K. Bhatraju and has published in prestigious journals such as PLoS ONE, Scientific Reports and JAMA Network Open.

In The Last Decade

Anthony Ortiz

19 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony Ortiz United States 10 67 65 26 24 24 19 198
Zhenhua Zhang China 7 23 0.3× 10 0.2× 23 0.9× 35 1.5× 8 0.3× 30 266
Abraham George Smith Denmark 10 21 0.3× 38 0.6× 53 2.0× 16 0.7× 10 0.4× 20 278
Hyun‐chong Cho South Korea 10 74 1.1× 51 0.8× 22 0.8× 15 0.6× 10 0.4× 53 281
Dongmei Yan China 10 16 0.2× 16 0.2× 22 0.8× 27 1.1× 46 1.9× 28 286
Dongya Liu China 7 58 0.9× 57 0.9× 30 1.2× 127 5.3× 24 1.0× 12 304
Florian M. Savoy United States 10 86 1.3× 68 1.0× 27 1.0× 42 1.8× 42 1.8× 22 260
Haeyun Lee South Korea 8 146 2.2× 113 1.7× 29 1.1× 11 0.5× 83 3.5× 15 328
Arna Fariza Indonesia 9 56 0.8× 46 0.7× 20 0.8× 89 3.7× 4 0.2× 68 276
Jingya Yang China 9 44 0.7× 33 0.5× 39 1.5× 53 2.2× 33 1.4× 21 262

Countries citing papers authored by Anthony Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Ortiz

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

All Works

19 of 19 papers shown
1.
Ortiz, Anthony, et al.. (2025). AI-Enabled Screening for Retinopathy of Prematurity in Low-Resource Settings. JAMA Network Open. 8(4). e257831–e257831. 1 indexed citations
2.
Kiesecker, Joseph M., Jeffrey S. Evans, James R. Oakleaf, et al.. (2024). Land use and Europe’s renewable energy transition: identifying low-conflict areas for wind and solar development. Frontiers in Environmental Science. 12. 12 indexed citations
3.
Robinson, Caleb, et al.. (2024). TorchGeo: Deep Learning With Geospatial Data. ACM Transactions on Spatial Algorithms and Systems. 11(4). 1–28. 2 indexed citations
4.
Khan, Christin Brangwynne, Kimberly T. Goetz, Caleb Robinson, et al.. (2023). A Biologist’s Guide to the Galaxy: Leveraging Artificial Intelligence and Very High-Resolution Satellite Imagery to Monitor Marine Mammals from Space. Journal of Marine Science and Engineering. 11(3). 595–595. 12 indexed citations
5.
Fobi, Simone, M. Cardona, Elliott J. Collins, et al.. (2023). Poverty rate prediction using multi-modal survey and earth observation data. 23–29. 1 indexed citations
6.
Swai, Johnson Kyeba, et al.. (2023). Efficacy of the spatial repellent product Mosquito Shield™ against wild pyrethroid-resistant Anopheles arabiensis in south-eastern Tanzania. Malaria Journal. 22(1). 249–249. 12 indexed citations
7.
Kiesecker, Joseph M., K. Nagaraju Shivaprakash, James R. Oakleaf, et al.. (2023). The Road to India’s Renewable Energy Transition Must Pass through Crowded Lands. Land. 12(11). 2049–2049. 1 indexed citations
8.
Xu, Yixi, Ivan S. Klyuzhin, Sara Harsini, et al.. (2023). Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. Computers in Biology and Medicine. 158. 106882–106882. 20 indexed citations
9.
10.
Ortiz, Anthony, Joseph M. Kiesecker, Caleb Robinson, et al.. (2022). An Artificial Intelligence Dataset for Solar Energy Locations in India. Scientific Data. 9(1). 497–497. 28 indexed citations
11.
Robinson, Caleb, Marian Blazes, Anthony Ortiz, et al.. (2022). Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement. PLoS ONE. 17(10). e0274098–e0274098. 11 indexed citations
12.
Klyuzhin, Ivan S., Yixi Xu, Anthony Ortiz, et al.. (2022). Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Computer Methods and Programs in Biomedicine. 219. 106750–106750. 13 indexed citations
13.
Ortiz, Anthony, Marian Blazes, Caleb Robinson, et al.. (2022). Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes. Scientific Reports. 12(1). 1716–1716. 28 indexed citations
14.
Robinson, Caleb, et al.. (2022). TorchGeo. 1–12. 24 indexed citations
15.
Robinson, Caleb, et al.. (2022). Fast building segmentation from satellite imagery and few local labels. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 1462–1470. 11 indexed citations
16.
Gholami, Shahrzad, Caleb Robinson, Anthony Ortiz, et al.. (2022). On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach. 1029–1036. 8 indexed citations
17.
Ortiz, Anthony, Tenzing Chogyal Sherpa, Finu Shrestha, et al.. (2022). Mapping Glacial Lakes Using Historically Guided Segmentation Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 9226–9240. 5 indexed citations
18.
Klyuzhin, Ivan S., Yixi Xu, Sara Harsini, et al.. (2021). Unsupervised background removal by dual-modality PET/CT guidance: application to PSMA imaging of metastases. 62. 36–36. 4 indexed citations
19.

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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