B D'Alessandro

1.4k total citations
51 papers, 814 citations indexed

About

B D'Alessandro is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, B D'Alessandro has authored 51 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in B D'Alessandro's work include Cutaneous Melanoma Detection and Management (8 papers), Optical Imaging and Spectroscopy Techniques (8 papers) and Optical Coherence Tomography Applications (6 papers). B D'Alessandro is often cited by papers focused on Cutaneous Melanoma Detection and Management (8 papers), Optical Imaging and Spectroscopy Techniques (8 papers) and Optical Coherence Tomography Applications (6 papers). B D'Alessandro collaborates with scholars based in United States, France and Australia. B D'Alessandro's co-authors include Foster Provost, Claudia Perlich, Ori Stitelman, Atam P. Dhawan, Troy Raeder, Alan T. Murray, Xiaohan Zhang, Yun Q. Shi, Antonio Bellastella and Nizar A. Mullani and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Journal of Investigative Dermatology.

In The Last Decade

B D'Alessandro

47 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B D'Alessandro United States 15 229 207 171 136 110 51 814
Tien Thanh Nguyen Australia 21 91 0.4× 567 2.7× 147 0.9× 419 3.1× 180 1.6× 57 1.2k
John P. Dickerson United States 23 54 0.2× 303 1.5× 203 1.2× 144 1.1× 133 1.2× 88 1.3k
Ori Stitelman United States 7 169 0.7× 192 0.9× 126 0.7× 99 0.7× 65 0.6× 9 615
Qusai Y. Shambour Jordan 15 52 0.2× 421 2.0× 83 0.5× 636 4.7× 163 1.5× 71 1.2k
Rainer Schwabe Germany 15 74 0.3× 98 0.5× 378 2.2× 20 0.1× 78 0.7× 90 876
Praphula Kumar Jain India 17 52 0.2× 312 1.5× 52 0.3× 131 1.0× 88 0.8× 28 606
Yang Cai United States 18 248 1.1× 157 0.8× 367 2.1× 76 0.6× 11 0.1× 88 915

Countries citing papers authored by B D'Alessandro

Since Specialization
Citations

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

Fields of papers citing papers by B D'Alessandro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B D'Alessandro. 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 B D'Alessandro. The network helps show where B D'Alessandro may publish in the future.

Co-authorship network of co-authors of B D'Alessandro

This figure shows the co-authorship network connecting the top 25 collaborators of B D'Alessandro. A scholar is included among the top collaborators of B D'Alessandro 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 B D'Alessandro. B D'Alessandro 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.
Rezze, Gisele Gargantini, B D'Alessandro, G. Szabó, et al.. (2025). Skin region images extracted from 3D total body photographs for lesion detection. Scientific Data. 12(1). 1442–1442. 1 indexed citations
2.
D'Alessandro, B, Clare Primiero, Aideen McInerney‐Leo, et al.. (2024). Combining Automated Lesion Risk and Change Assessment Improves Melanoma Detection: A Retrospective Accuracy Study. Journal of Investigative Dermatology. 145(3). 703–706.e1. 2 indexed citations
3.
Reingold, Rachel, Alexander Pan, Lukas Kraehenbuehl, et al.. (2024). Oral minoxidil for late alopecia in cancer survivors. Breast Cancer Research and Treatment. 208(3). 491–499. 8 indexed citations
4.
Marchetti, Michael A., Stephen W. Dusza, B D'Alessandro, et al.. (2023). 3D Whole‐body skin imaging for automated melanoma detection. Journal of the European Academy of Dermatology and Venereology. 37(5). 945–950. 14 indexed citations
5.
Lorenc, Z. Paul, Stacy Smith, Lawrence S. Bass, et al.. (2023). Validating the Reliability and Clinical Relevance of a Nasolabial Fold Photonumeric Scale. Journal of Drugs in Dermatology. 23(1). 1319–1324.
6.
Betz‐Stablein, Brigid, B D'Alessandro, Elsemieke I. Plasmeijer, et al.. (2021). Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks. Dermatology. 238(1). 4–11. 24 indexed citations
7.
D'Alessandro, B, et al.. (2016). Explaining Classification Models Built on High-Dimensional Sparse Data. arXiv (Cornell University). 36–40. 1 indexed citations
8.
D'Alessandro, B, et al.. (2015). Evaluating and Optimizing Online Advertising: Forget the Click, but There Are Good Proxies. Big Data. 3(2). 90–102. 6 indexed citations
9.
D'Alessandro, B, Claudia Perlich, & Troy Raeder. (2014). Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets. Big Data. 2(2). 87–96. 11 indexed citations
10.
D'Alessandro, B, et al.. (2014). Scalable hands-free transfer learning for online advertising. 1573–1582. 27 indexed citations
11.
Perlich, Claudia, B D'Alessandro, Ori Stitelman, Troy Raeder, & Foster Provost. (2013). Machine Learning for Targeted Display Advertising: Transfer Learning in Action. The Faculty Digital Archive (New York University). 8 indexed citations
12.
D'Alessandro, B. (2013). Bring the Noise: Embracing Randomness Is the Key to Scaling Up Machine Learning Algorithms. Big Data. 1(2). 110–112. 10 indexed citations
13.
D'Alessandro, B, et al.. (2012). Evaluating and Optimizing Online Advertising: Forget the click, but\nthere are good proxies. The Faculty Digital Archive (New York University). 20 indexed citations
14.
D'Alessandro, B & Atam P. Dhawan. (2011). Voxel-based, parallel simulation of light in skin tissue for the reconstruction of subsurface skin lesion volumes. PubMed. 2011. 8448–8451. 4 indexed citations
15.
D'Alessandro, B, Atam P. Dhawan, & Nizar A. Mullani. (2011). Computer aided analysis of epi-illumination and transillumination images of skin lesions for diagnosis of skin cancers. PubMed. 2011. 3434–8. 7 indexed citations
16.
D'Alessandro, B & Atam P. Dhawan. (2010). Multispectral transillumination imaging of skin lesions for oxygenated and deoxygenated hemoglobin measurement. PubMed. 28. 6637–6640. 4 indexed citations
17.
Dhawan, Atam P., et al.. (2010). Optical Imaging Modalities for Biomedical Applications. IEEE Reviews in Biomedical Engineering. 3. 69–92. 77 indexed citations
18.
Dhawan, Atam P., et al.. (2009). Multispectral optical imaging of skin-lesions for detection of malignant melanomas. PubMed. 2009. 5352–5355. 15 indexed citations
19.
D'Alessandro, B, et al.. (1990). Hypopituitarism following a direct bullet injury to the pituitary. A case report.. PubMed. 14(4). 251–4. 3 indexed citations
20.
Bellastella, Antonio, et al.. (1982). Temporal relationship between circannual levels of luteinizing hormone and testosterone in prepubertal boys with constitutional short stature.. PubMed. 9(2). 123–5. 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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