John J. Schultz

1.5k total citations
39 papers, 636 citations indexed

About

John J. Schultz is a scholar working on Archeology, Genetics and Ocean Engineering. According to data from OpenAlex, John J. Schultz has authored 39 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Archeology, 20 papers in Genetics and 13 papers in Ocean Engineering. Recurrent topics in John J. Schultz's work include Forensic Anthropology and Bioarchaeology Studies (20 papers), Forensic and Genetic Research (19 papers) and Geophysical Methods and Applications (12 papers). John J. Schultz is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (20 papers), Forensic and Genetic Research (19 papers) and Geophysical Methods and Applications (12 papers). John J. Schultz collaborates with scholars based in United States and Lithuania. John J. Schultz's co-authors include Michael M. Martin, Anthony B. Falsetti, Mary Elizabeth Collins, Tosha L. Dupras, Lana J. Williams, Michael E. Sigman, Kenneth Parker, Stephen A. Smith, Matthew H. McIntyre and Rimantas Jankauskas and has published in prestigious journals such as American Journal of Physical Anthropology, Forensic Science International and Journal of Forensic Sciences.

In The Last Decade

John J. Schultz

37 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Schultz United States 14 326 254 171 164 123 39 636
John R. Jervis United Kingdom 10 314 1.0× 165 0.6× 139 0.8× 191 1.2× 115 0.9× 12 487
Pier Matteo Barone Italy 12 291 0.9× 50 0.2× 24 0.1× 186 1.1× 6 0.0× 68 478
James S. Mellett United States 8 149 0.5× 39 0.2× 13 0.1× 92 0.6× 11 0.1× 16 406
Louise F. Martin Switzerland 14 50 0.2× 72 0.3× 33 0.2× 41 0.3× 10 0.1× 34 569
Miguel Ángel Maté‐González Spain 23 18 0.1× 738 2.9× 42 0.2× 26 0.2× 13 0.1× 70 1.4k
Amy Z. Mundorff United States 18 11 0.0× 570 2.2× 498 2.9× 9 0.1× 199 1.6× 36 885
John Chapman United Kingdom 22 44 0.1× 563 2.2× 63 0.4× 8 0.0× 5 0.0× 114 1.8k
Timothy P. McMahon United States 14 11 0.0× 95 0.4× 270 1.6× 148 0.9× 7 0.1× 26 514
Giulia Marciani Italy 14 4 0.0× 271 1.1× 52 0.3× 30 0.2× 7 0.1× 37 767
Javier Valencia Mexico 15 21 0.1× 12 0.0× 212 1.2× 65 0.4× 8 0.1× 49 638

Countries citing papers authored by John J. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by John J. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Schultz. 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 John J. Schultz. The network helps show where John J. Schultz may publish in the future.

Co-authorship network of co-authors of John J. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Schultz. A scholar is included among the top collaborators of John J. Schultz 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 John J. Schultz. John J. Schultz 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.
Schultz, John J., et al.. (2025). Decision trees for estimating osteological sex from the skull using an expanded suite of morphological traits. Journal of Forensic Sciences. 70(3). 835–853.
2.
Schultz, John J., et al.. (2025). The application of decision trees for estimating osteological sex from common measurements of the skull. Journal of Forensic Sciences. 70(3). 854–867.
3.
Schultz, John J., et al.. (2024). Microscopic analysis of cut mark characteristics from chopping/hacking tools. Forensic Science International. 363. 112197–112197. 1 indexed citations
4.
Schultz, John J., et al.. (2024). Sex estimation research trends in forensic anthropology between 2000 and 2022 in five prominent journals. Journal of Forensic Sciences. 69(4). 1138–1154. 5 indexed citations
5.
Schultz, John J., et al.. (2023). Analyzing Cut Mark Characteristics on Bone from Chopping/Hacking Tools. 1 indexed citations
6.
Schultz, John J., et al.. (2023). Documenting Outdoor Simulated Scenes with Photogrammetry. 1 indexed citations
7.
Schultz, John J., et al.. (2018). Skeletal weathering in central Florida: A preliminary approach for developing a scoring protocol to estimate time since death. Forensic Science International. 290. 85–93. 4 indexed citations
8.
Schultz, John J., et al.. (2014). Chemical Differentiation of Osseous, Dental, and Non-skeletal Materials in Forensic Anthropology using Elemental Analysis. Science & Justice. 55(2). 131–138. 24 indexed citations
9.
Dupras, Tosha L., et al.. (2014). Forensic Science. UvA-DARE (University of Amsterdam). 6 indexed citations
10.
Schultz, John J., et al.. (2013). Mapping simulated scenes with skeletal remains using differential GPS in open environments: An assessment of accuracy and practicality. Forensic Science International. 228(1-3). e33–e46. 4 indexed citations
11.
Schultz, John J., et al.. (2013). Detecting submerged objects: The application of side scan sonar to forensic contexts. Forensic Science International. 231(1-3). 306–316. 32 indexed citations
12.
Schultz, John J., et al.. (2012). Determining Sex of the Posterior Ilium from the Robert J. Terry and William M. Bass Collections. Journal of Forensic Sciences. 57(5). 1155–1160. 20 indexed citations
13.
Schultz, John J. & Michael M. Martin. (2011). Controlled GPR grave research: Comparison of reflection profiles between 500 and 250MHz antennae. Forensic Science International. 209(1-3). 64–69. 44 indexed citations
14.
Schultz, John J., et al.. (2011). Utilizing a Magnetic Locator to Search for Buried Firearms and Miscellaneous Weapons at a Controlled Research Site*,†. Journal of Forensic Sciences. 56(5). 1289–1295. 4 indexed citations
15.
Schultz, John J., et al.. (2009). Controlled research utilizing a basic all-metal detector in the search for buried firearms and miscellaneous weapons. Forensic Science International. 195(1-3). 121–127. 14 indexed citations
16.
Schultz, John J. & Tosha L. Dupras. (2008). The Contribution of Forensic Archaeology to Homicide Investigations. Homicide Studies. 12(4). 399–413. 18 indexed citations
17.
Schultz, John J.. (2008). Sequential Monitoring of Burials Containing Small Pig Cadavers Using Ground Penetrating Radar*. Journal of Forensic Sciences. 53(2). 279–287. 97 indexed citations
18.
Schultz, John J., Mary Elizabeth Collins, & Anthony B. Falsetti. (2006). Sequential Monitoring of Burials Containing Large Pig Cadavers Using Ground‐Penetrating Radar. Journal of Forensic Sciences. 51(3). 607–616. 84 indexed citations
19.
Williamson, Matthew A., et al.. (2003). Interpersonal violence between 18th century Native Americans and Europeans in Ohio. American Journal of Physical Anthropology. 122(2). 113–122. 12 indexed citations
20.
Schultz, John J.. (2003). Detecting buried remains in Florida using ground-penetrating radar. University of Florida Digital Collections (University of Florida). 4 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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