Scheila Mânica

691 total citations
64 papers, 419 citations indexed

About

Scheila Mânica is a scholar working on Archeology, Oral Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Scheila Mânica has authored 64 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Archeology, 31 papers in Oral Surgery and 17 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Scheila Mânica's work include Forensic Anthropology and Bioarchaeology Studies (48 papers), Dental Radiography and Imaging (31 papers) and Autopsy Techniques and Outcomes (16 papers). Scheila Mânica is often cited by papers focused on Forensic Anthropology and Bioarchaeology Studies (48 papers), Dental Radiography and Imaging (31 papers) and Autopsy Techniques and Outcomes (16 papers). Scheila Mânica collaborates with scholars based in United Kingdom, Brazil and Indonesia. Scheila Mânica's co-authors include Ademir Franco, Simon Shepherd, Mark Hector, Peter Mossey, Andrew Forgie, Nathan Brown, Rafael Guerra Lund, Luiz Renato Paranhos, John Murray and Samarika Dahal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Forensic Science International.

In The Last Decade

Scheila Mânica

57 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scheila Mânica United Kingdom 12 322 244 106 97 42 64 419
Emilio Nuzzolese Italy 13 332 1.0× 212 0.9× 123 1.2× 112 1.2× 26 0.6× 56 527
Francesco Pradella Italy 12 268 0.8× 223 0.9× 86 0.8× 123 1.3× 24 0.6× 19 406
Birgit Marré Germany 10 250 0.8× 177 0.7× 88 0.8× 52 0.5× 17 0.4× 18 495
Alex Forrest Australia 11 155 0.5× 149 0.6× 73 0.7× 33 0.3× 37 0.9× 26 324
Fernando Fortes Pícoli Brazil 11 150 0.5× 153 0.6× 85 0.8× 21 0.2× 22 0.5× 29 293
H James Australia 9 226 0.7× 112 0.5× 89 0.8× 60 0.6× 20 0.5× 18 309
Dolores Biočina‐Lukenda Croatia 8 97 0.3× 117 0.5× 43 0.4× 92 0.9× 25 0.6× 32 307
Ana Côrte-Real Portugal 11 92 0.3× 101 0.4× 31 0.3× 51 0.5× 27 0.6× 46 275
Antonio De Donno Italy 10 185 0.6× 66 0.3× 68 0.6× 50 0.5× 18 0.4× 25 279
B. Knell Switzerland 5 602 1.9× 285 1.2× 244 2.3× 243 2.5× 21 0.5× 7 653

Countries citing papers authored by Scheila Mânica

Since Specialization
Citations

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

Fields of papers citing papers by Scheila Mânica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scheila Mânica

This figure shows the co-authorship network connecting the top 25 collaborators of Scheila Mânica. A scholar is included among the top collaborators of Scheila Mânica 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 Scheila Mânica. Scheila Mânica 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.
Mânica, Scheila, et al.. (2024). Dental damage: Creating 3D anatomical models to illustrate destructive effects on human teeth. Morphologie. 108(363). 100911–100911.
2.
Franco, Ademir, et al.. (2024). Radiographic morphology of canines tested for sexual dimorphism via convolutional-neural-network-based artificial intelligence. Morphologie. 108(362). 100772–100772. 4 indexed citations
3.
Mânica, Scheila, et al.. (2024). Missing persons of post-conflict countries: Assessing dental identification through a questionnaire-based study in Syria. Forensic Science International Reports. 10. 100393–100393.
4.
Mânica, Scheila, et al.. (2024). Identifying teeth and tooth fragments from digital 3D models. Morphologie. 108(362). 100774–100774. 2 indexed citations
5.
Mânica, Scheila, et al.. (2023). The radiographic diversity of dental patterns for human identification — Systematic review and meta-analysis. Journal of Forensic and Legal Medicine. 95. 102507–102507. 1 indexed citations
6.
Mânica, Scheila, et al.. (2023). Sixty years of research in dental age estimation: a bibliometric study. Egyptian Journal of Forensic Sciences. 13(1). 5 indexed citations
7.
Murray, John, et al.. (2023). Applying artificial intelligence to determination of legal age of majority from radiographic data. Morphologie. 108(360). 100723–100723. 9 indexed citations
8.
Shepherd, Simon, et al.. (2023). Biological profiling using the human mandible. Journal of Oral Biosciences. 66(1). 5–12. 7 indexed citations
9.
Shepherd, Simon, et al.. (2022). 3D segmentation of dental crown for volumetric age estimation with CBCT imaging. International Journal of Legal Medicine. 137(1). 123–130. 16 indexed citations
10.
Mânica, Scheila, et al.. (2022). Application of the London Atlas Software App 2nd edition for the radiographic assessment of dental development. Journal of Clinical and Experimental Dentistry. 14(11). e944–e952. 3 indexed citations
11.
Franco, Ademir, et al.. (2021). Exploring the use of selfies in human identification. Journal of Forensic and Legal Medicine. 85. 102293–102293. 3 indexed citations
12.
Dahal, Samarika, Andrew Forgie, & Scheila Mânica. (2021). Age Estimation Using Monoradicular Teeth by comparing Pulp/Tooth Area Ratios between Bucco-lingual and Mesio-distal Periapical Radiographs. SHILAP Revista de lepidopterología. 19(3). 577–581. 5 indexed citations
13.
Mânica, Scheila, et al.. (2020). Forensic Odontology:psychological aspects reflected in the dental mirror. Discovery Research Portal (University of Dundee). 2 indexed citations
14.
Mânica, Scheila, et al.. (2020). Automated Identification from Dental Data (AutoIDD): A new development in digital forensics. Forensic Science International. 309. 110218–110218. 26 indexed citations
15.
Mânica, Scheila, et al.. (2019). Age estimation using canine pulp volumes in adults: a CBCT image analysis. International Journal of Legal Medicine. 133(6). 1967–1976. 56 indexed citations
16.
Mânica, Scheila, et al.. (2019). Fashion for a reason: Oral jewellery to aid forensic odontology. Journal of Forensic and Legal Medicine. 66. 38–43. 10 indexed citations
17.
Mânica, Scheila, F.S.L. Wong, Graham Davis, & Helen M. Liversidge. (2018). Estimating age using permanent molars and third cervical vertebrae shape with a novel semi-automated method. Journal of Forensic and Legal Medicine. 58. 140–144. 2 indexed citations
18.
Mânica, Scheila, Helen M. Liversidge, & Mark Hector. (2018). Can human maxillary premolar crown dimensions discriminate between males and females. Discovery Research Portal (University of Dundee). 12(2). 41–46. 1 indexed citations
19.
Mânica, Scheila, et al.. (2018). Accuracy of dental identification of individuals with unrestored permanent teeth by visual comparison with radiographs of mixed dentition. Forensic Science International. 289. 337–343. 11 indexed citations
20.
Mânica, Scheila. (2016). Discussing a Forensic Dental Examination of 1861--A Scientific and Historic Overview.. PubMed. 61(1). 21–6. 2 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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