Jacob Hinkle

1.0k total citations
47 papers, 578 citations indexed

About

Jacob Hinkle is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Artificial Intelligence. According to data from OpenAlex, Jacob Hinkle has authored 47 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Radiation and 12 papers in Artificial Intelligence. Recurrent topics in Jacob Hinkle's work include Medical Imaging Techniques and Applications (12 papers), Advanced Radiotherapy Techniques (10 papers) and Medical Image Segmentation Techniques (7 papers). Jacob Hinkle is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Advanced Radiotherapy Techniques (10 papers) and Medical Image Segmentation Techniques (7 papers). Jacob Hinkle collaborates with scholars based in United States, Australia and United Kingdom. Jacob Hinkle's co-authors include Sarang Joshi, P. Thomas Fletcher, Nikhil Singh, M. Todd Young, Bill J. Salter, Maxim Ziatdinov, Arvind Ramanathan, Ayana Ghosh, Andrew R. Lupini and Rama K. Vasudevan and has published in prestigious journals such as ACS Nano, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Jacob Hinkle

40 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Hinkle United States 15 163 115 101 94 83 47 578
Ozan Öktem Sweden 15 248 1.5× 95 0.8× 172 1.7× 222 2.4× 96 1.2× 45 901
Yasuaki Hiraoka Japan 20 296 1.8× 71 0.6× 72 0.7× 76 0.8× 14 0.2× 57 1.4k
Andreas Degenhard Germany 13 282 1.7× 137 1.2× 193 1.9× 101 1.1× 45 0.5× 30 559
I.G. Kazantsev Russia 10 164 1.0× 16 0.1× 47 0.5× 72 0.8× 83 1.0× 34 356
Jean-Pièrre Dussault Canada 15 79 0.5× 70 0.6× 28 0.3× 92 1.0× 38 0.5× 58 775
Luis Pizarro United Kingdom 13 199 1.2× 25 0.2× 159 1.6× 117 1.2× 33 0.4× 42 641
Xin Gao China 20 54 0.3× 57 0.5× 94 0.9× 89 0.9× 4 0.0× 61 1.0k
R. Goutte France 13 40 0.2× 32 0.3× 208 2.1× 38 0.4× 35 0.4× 77 499
Saurav Basu United States 8 136 0.8× 66 0.6× 146 1.4× 38 0.4× 3 0.0× 19 442

Countries citing papers authored by Jacob Hinkle

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Hinkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Hinkle

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

All Works

20 of 20 papers shown
1.
Rahman, Monica Sharfin, et al.. (2025). pH Controlled Activation and Stabilization of Enzymes Using Responsive Polymer-Bioconjugates. Biomacromolecules. 26(7). 4209–4218.
2.
Danciu, Ioana, Debangshu Mukherjee, Ian Goethert, et al.. (2024). VISION: Toward a Standardized Process for Radiology Image Management at the National Level. 2(8). 1–7.
3.
Tsaris, Aristeidis, Joshua Romero, Thorsten Kurth, et al.. (2023). Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11.
4.
Jetybayeva, Albina, Nikolay Borodinov, Anton V. Ievlev, et al.. (2023). A review on recent machine learning applications for imaging mass spectrometry studies. Journal of Applied Physics. 133(2). 27 indexed citations
5.
Venkatakrishnan, Singanallur, et al.. (2021). Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography *. Machine Learning Science and Technology. 2(2). 25031–25031. 4 indexed citations
6.
Vasudevan, Rama K., Kyle P. Kelley, Jacob Hinkle, et al.. (2021). Automated Experiment in SPM: Bayesian Optimization for efficient searching of parameter space to maximize functional response. Microscopy and Microanalysis. 27(S1). 470–471. 1 indexed citations
7.
Seal, Sudip K., et al.. (2020). Toward Large-Scale Image Segmentation on Summit. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 3 indexed citations
8.
Alawad, Mohammed, Shang Gao, John X. Qiu, et al.. (2019). Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. PubMed. 2019. 1–4. 15 indexed citations
9.
Gao, Shang, John X. Qiu, Mohammed Alawad, et al.. (2019). Classifying cancer pathology reports with hierarchical self-attention networks. Artificial Intelligence in Medicine. 101. 101726–101726. 40 indexed citations
10.
Hinkle, Jacob, Peter N. Ciesielski, Kenny Gruchalla, Kristin Munch, & Bryon S. Donohoe. (2015). Biomass accessibility analysis using electron tomography. Biotechnology for Biofuels. 8(1). 212–212. 14 indexed citations
11.
Hinkle, Jacob, P. Thomas Fletcher, & Sarang Joshi. (2014). Intrinsic Polynomials for Regression on Riemannian Manifolds. Journal of Mathematical Imaging and Vision. 50(1-2). 32–52. 42 indexed citations
12.
Singh, Nikhil, Jacob Hinkle, Sarang Joshi, & P. Thomas Fletcher. (2013). A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction. PubMed. 2013. 1219–1222. 40 indexed citations
13.
Hinkle, Jacob, et al.. (2012). Tissue characterization using a phantom to validate four‐dimensional tissue deformation. Medical Physics. 39(10). 6065–6070. 2 indexed citations
14.
Hinkle, Jacob, et al.. (2012). 4D CT image reconstruction with diffeomorphic motion model. Medical Image Analysis. 16(6). 1307–1316. 31 indexed citations
15.
Hinkle, Jacob, et al.. (2011). Dosimetric evaluation of a “virtual” image-guidance alternative to explicit 6 degree of freedom robotic couch correction. Practical Radiation Oncology. 2(2). 122–137. 1 indexed citations
16.
Hinkle, Jacob, et al.. (2010). Quantifying variability in radiation dose due to respiratory-induced tumor motion. Medical Image Analysis. 15(4). 640–649. 14 indexed citations
17.
Sawant, Amit, Kim Butts Pauly, Marcus T. Alley, et al.. (2010). WE‐C‐204B‐07: Real‐Time MRI for Soft‐Tissue‐Based IGRT of Moving and Deforming Lung Tumors. Medical Physics. 37(6Part12). 3424–3424. 1 indexed citations
18.
Hinkle, Jacob, P. Thomas Fletcher, Brian Wang, Bill J. Salter, & Sarang Joshi. (2009). 4D MAP Image Reconstruction Incorporating Organ Motion. Lecture notes in computer science. 21. 676–687. 19 indexed citations
19.
Sands, Brian, et al.. (2007). Raman scattering spectroscopy of liquid nitrogen molecules: An advanced undergraduate physics laboratory experiment. American Journal of Physics. 75(6). 488–495. 10 indexed citations
20.
Bayram, Servet, et al.. (2006). Collisional depolarization of Zeeman coherences in the 133 Cs 6p 2 P 3/2 level: Double-resonance two-photon polarization spectroscopy.

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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