John Albanese

1.0k total citations
25 papers, 655 citations indexed

About

John Albanese is a scholar working on Archeology, Genetics and Insect Science. According to data from OpenAlex, John Albanese has authored 25 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Archeology, 11 papers in Genetics and 4 papers in Insect Science. Recurrent topics in John Albanese's work include Forensic Anthropology and Bioarchaeology Studies (17 papers), Forensic and Genetic Research (10 papers) and Paleopathology and ancient diseases (6 papers). John Albanese is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (17 papers), Forensic and Genetic Research (10 papers) and Paleopathology and ancient diseases (6 papers). John Albanese collaborates with scholars based in Canada, United States and Portugal. John Albanese's co-authors include David Hunt, Hugo F.V. Cardoso, Andrew Tuck, Shelley R. Saunders, Dennis J. Stanford, Luiz Airton Saavedra de Paiva, Sarah Walshaw, David Albala, Liza G. Ovington and Cláudia Regina Plens and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Physical Anthropology and Journal of Archaeological Science.

In The Last Decade

John Albanese

23 papers receiving 616 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 Albanese Canada 11 526 303 140 78 54 25 655
Christian M. Crowder United States 13 451 0.9× 194 0.6× 118 0.8× 60 0.8× 74 1.4× 33 703
Francisco Curate Portugal 16 684 1.3× 262 0.9× 204 1.5× 125 1.6× 98 1.8× 74 845
Tracy L. Rogers Canada 16 757 1.4× 293 1.0× 189 1.4× 90 1.2× 110 2.0× 31 939
Constantine Eliopoulos United Kingdom 11 492 0.9× 236 0.8× 83 0.6× 67 0.9× 80 1.5× 31 600
David Navega Portugal 12 600 1.1× 271 0.9× 197 1.4× 39 0.5× 61 1.1× 32 672
María Teresa Ferreira Portugal 15 621 1.2× 225 0.7× 118 0.8× 47 0.6× 91 1.7× 85 813
Kyra E. Stull United States 18 744 1.4× 351 1.2× 254 1.8× 76 1.0× 74 1.4× 49 859
D. Troy Case United States 17 476 0.9× 271 0.9× 120 0.9× 155 2.0× 103 1.9× 32 764
Murray K. Marks United States 8 395 0.8× 139 0.5× 160 1.1× 41 0.5× 62 1.1× 19 469
Konstantinos Moraitis Greece 16 439 0.8× 169 0.6× 83 0.6× 70 0.9× 141 2.6× 64 830

Countries citing papers authored by John Albanese

Since Specialization
Citations

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

Fields of papers citing papers by John Albanese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Albanese

This figure shows the co-authorship network connecting the top 25 collaborators of John Albanese. A scholar is included among the top collaborators of John Albanese 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 Albanese. John Albanese 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.
2.
Albanese, John, et al.. (2024). New More Generic and Inclusive Regression Formulae for the Estimation of Stature from Long Bone Lengths in Children. SHILAP Revista de lepidopterología. 4(1). 62–75. 3 indexed citations
3.
Albanese, John, et al.. (2023). A Non-Racial Approach to Assessing Group Membership of Victims in a Mass Grave Using Cranial Data. SHILAP Revista de lepidopterología. 3(1). 22–33. 1 indexed citations
4.
Plens, Cláudia Regina, et al.. (2021). Reflections on methods to estimate race and ancestry on reference osteological samples in the Brazilian context. Ethics Medicine and Public Health. 18. 100680–100680. 7 indexed citations
5.
Albanese, John, et al.. (2020). Structural violence and the nature of cemetery-based skeletal reference collections. SHILAP Revista de lepidopterología. 6(2). 81–103. 4 indexed citations
6.
Walshaw, Sarah, et al.. (2019). Linear and appositional growth in children as indicators of social and economic change during the Medieval Islamic to Christian transition in Santarém, Portugal. International Journal of Osteoarchaeology. 29(5). 736–746. 10 indexed citations
7.
Albanese, John, et al.. (2017). Estimating Biological Characteristics With Virtual Laser Data. Journal of Forensic Sciences. 63(3). 815–823. 12 indexed citations
8.
Albanese, John, et al.. (2016). Do group-specific equations provide the best estimates of stature?. Forensic Science International. 261. 154–158. 10 indexed citations
9.
Cardoso, Hugo F.V., et al.. (2015). The relationship between cadaver, living and forensic stature: A review of current knowledge and a test using a sample of adult Portuguese males. Forensic Science International. 258. 55–63. 15 indexed citations
10.
Albanese, John, et al.. (2015). An alternative approach for estimating stature from long bones that is not population- or group-specific. Forensic Science International. 259. 59–68. 37 indexed citations
11.
Albanese, John. (2013). A Method for Estimating Sex Using the Clavicle, Humerus, Radius, and Ulna. Journal of Forensic Sciences. 58(6). 1413–1419. 63 indexed citations
12.
Albanese, John, et al.. (2011). Latent Evidence Detection using a Combination of Near Infrared and High Dynamic Range Photography: An Example Using Bloodstains. Journal of Forensic Sciences. 56(6). 1601–1603. 17 indexed citations
13.
Albanese, John, et al.. (2011). Do century-specific equations provide better estimates of stature? A test of the 19–20th century boundary for the stature estimation feature in Fordisc 3.0. Forensic Science International. 219(1-3). 286.e1–286.e3. 12 indexed citations
14.
Albanese, John, et al.. (2008). A Metric Method for Sex Determination Using the Proximal Femur and Fragmentary Hipbone*,†. Journal of Forensic Sciences. 53(6). 1283–1288. 72 indexed citations
15.
Hunt, David & John Albanese. (2004). History and demographic composition of the Robert J. Terry anatomical collection. American Journal of Physical Anthropology. 127(4). 406–417. 175 indexed citations
16.
Albanese, John, Hugo F.V. Cardoso, & Shelley R. Saunders. (2004). Universal methodology for developing univariate sample-specific sex determination methods: an example using the epicondylar breadth of the humerus. Journal of Archaeological Science. 32(1). 143–152. 73 indexed citations
17.
Albanese, John. (2003). A Metric Method for Sex Determination Using the Hipbone and the Femur. Journal of Forensic Sciences. 48(2). 1–11. 112 indexed citations
18.
Walker, Danny N., et al.. (1978). Dunlap-McMurry Burial (48NA67) Natrona County, Wyoming. 21(4). 15–40. 2 indexed citations
19.
Albanese, John. (1978). Paleotopography and Bison Traps. Plains Anthropologist. 23(82). 58–62. 3 indexed citations
20.
Stanford, Dennis J. & John Albanese. (1975). Preliminary Results of the Smithsonian Institution Excavation at the Claypool Site, Washington County, Colorado. 41(4). 22–28. 7 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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