Jonathan Ford

1.1k total citations
48 papers, 620 citations indexed

About

Jonathan Ford is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Archeology. According to data from OpenAlex, Jonathan Ford has authored 48 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 17 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Archeology. Recurrent topics in Jonathan Ford's work include Forensic Anthropology and Bioarchaeology Studies (15 papers), Autopsy Techniques and Outcomes (14 papers) and Paleopathology and ancient diseases (4 papers). Jonathan Ford is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (15 papers), Autopsy Techniques and Outcomes (14 papers) and Paleopathology and ancient diseases (4 papers). Jonathan Ford collaborates with scholars based in United States, Switzerland and Bulgaria. Jonathan Ford's co-authors include Summer Decker, Don R. Hilbelink, Ian A. Mason, Robert Foley, Lars Ebert, Sabine Franckenberg, Todd Goldstein, Till Sieberth, Michael J. Thali and Akos Dobay and has published in prestigious journals such as SHILAP Revista de lepidopterología, Plastic & Reconstructive Surgery and Journal of Neurotrauma.

In The Last Decade

Jonathan Ford

44 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Ford United States 15 240 214 146 130 73 48 620
Summer Decker United States 16 299 1.2× 269 1.3× 203 1.4× 253 1.9× 90 1.2× 53 803
H. K. Huang United States 11 255 1.1× 202 0.9× 86 0.6× 99 0.8× 96 1.3× 33 672
Ingrid Różyło‐Kalinowska Poland 16 128 0.5× 106 0.5× 58 0.4× 92 0.7× 398 5.5× 73 734
Ayumi Motomura Japan 20 513 2.1× 411 1.9× 203 1.4× 56 0.4× 67 0.9× 75 838
Kenneth Abramovitch United States 16 164 0.7× 86 0.4× 95 0.7× 51 0.4× 501 6.9× 40 815
Yumi Hoshioka Japan 16 336 1.4× 254 1.2× 127 0.9× 38 0.3× 41 0.6× 54 528
Rutsuko Yamaguchi Japan 13 248 1.0× 191 0.9× 101 0.7× 34 0.3× 34 0.5× 61 478
Kahraman Güngör Türkiye 15 89 0.4× 51 0.2× 165 1.1× 47 0.4× 386 5.3× 54 654
Valérie Burdin France 13 72 0.3× 136 0.6× 263 1.8× 183 1.4× 23 0.3× 70 589
Emiko Saito Arita Brazil 15 31 0.1× 227 1.1× 134 0.9× 81 0.6× 406 5.6× 105 804

Countries citing papers authored by Jonathan Ford

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Ford. A scholar is included among the top collaborators of Jonathan Ford 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 Jonathan Ford. Jonathan Ford 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.
Dédouit, Fabrice, Jamie Elifritz, Natalie L. Adolphi, et al.. (2025). The current state of forensic imaging– clinical forensic imaging. International Journal of Legal Medicine. 139(4). 1639–1646. 1 indexed citations
2.
Dédouit, Fabrice, Jamie Elifritz, Natalie L. Adolphi, et al.. (2025). The current state of forensic imaging – recommended radiological tools and international guidelines. International Journal of Legal Medicine. 139(5). 2219–2231. 2 indexed citations
3.
Dédouit, Fabrice, Jamie Elifritz, Natalie L. Adolphi, et al.. (2025). The current state of forensic imaging – post mortem imaging. International Journal of Legal Medicine. 139(3). 1141–1159. 4 indexed citations
4.
5.
Fukuda, Haruki, Summer Decker, Jonathan Ford, Wolf Schweitzer, & Lars Ebert. (2024). Neural radiance fields as a complementary method to photogrammetry for forensic 3D documentation: Initial comparative insights. Forensic Imaging. 39. 200605–200605. 1 indexed citations
6.
Huber, Daniel R., et al.. (2023). Simulating cookiecutter shark bites with a 3D-printed jaw-dental model. Zoomorphology. 142(2). 253–264. 1 indexed citations
7.
Ford, Jonathan, et al.. (2023). Developing an Extreme Learning Machine Based Approach to Weed Segmentation in Pastures. SSRN Electronic Journal. 1 indexed citations
8.
Ebert, Lars, Sabine Franckenberg, Till Sieberth, et al.. (2021). A review of visualization techniques of post-mortem computed tomography data for forensic death investigations. International Journal of Legal Medicine. 135(5). 1855–1867. 30 indexed citations
9.
Ford, Jonathan, et al.. (2021). Implementation of 3D Printing in Medical Care for Preoperative Planning of Complex Ventricular Septal Defect. Journal of Radiology Case Reports. 15(11). 17–29.
10.
Heller, Robert S., Jonathan Ford, Summer Decker, et al.. (2021). Changing Enhancement Pattern and Tumor Volume of Vestibular Schwannomas After Subtotal Resection. World Neurosurgery. 151. e466–e471. 3 indexed citations
11.
Dobay, Akos, Jonathan Ford, Summer Decker, et al.. (2020). Potential use of deep learning techniques for postmortem imaging. Forensic Science Medicine and Pathology. 16(4). 671–679. 22 indexed citations
12.
Decker, Summer, et al.. (2019). 3D analysis of computed tomography (CT)–derived lumbar spine models for the estimation of sex. International Journal of Legal Medicine. 133(5). 1497–1506. 15 indexed citations
13.
Decker, Summer & Jonathan Ford. (2018). Forensic personal identification utilizing part-to-part comparison of CT-derived 3D lumbar models. Forensic Science International. 294. 21–26. 17 indexed citations
14.
Bach, Konrad, Jonathan Ford, Robert Foley, et al.. (2018). Morphometric Analysis of Lumbar Intervertebral Disc Height: An Imaging Study. World Neurosurgery. 124. e106–e118. 31 indexed citations
15.
Decker, Summer, et al.. (2013). Who is this person? A comparison study of current three-dimensional facial approximation methods. Forensic Science International. 229(1-3). 161.e1–161.e8. 23 indexed citations
16.
Decker, Summer & Jonathan Ford. (2013). Accuracy and reliability of soft tissue depth measurements from CT for forensic facial reconstruction. Journal of Forensic Radiology and Imaging. 1(2). 82–82. 4 indexed citations
17.
Decker, Summer, et al.. (2011). Virtual Determination of Sex: Metric and Nonmetric Traits of the Adult Pelvis from 3D Computed Tomography Models*,†. Journal of Forensic Sciences. 56(5). 1107–1114. 108 indexed citations
18.
Decker, Summer, et al.. (2011). A simple method of nose tip shape validation for facial approximation. Forensic Science International. 214(1-3). 208.e1–208.e3. 21 indexed citations
19.
Ford, Jonathan & Ian A. Mason. (2003). Formal Foundations of Operational Semantics. LISP and Symbolic Computation. 16(3). 161–202. 7 indexed citations
20.
Richard, Reg, et al.. (1994). Photographic Measurement of Volar Forearm Skin Movement With Wrist Extension: The Influence of Elbow Position. Journal of Burn Care & Rehabilitation. 15(1). 58–61. 16 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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2026