B D'Alessandro

1.4k citations
51 papers · 814 · h-index 15

Impact in

Papers in

B D'Alessandro

47 papers receiving 749 citations

Peers

B D'Alessandro
Comparison fields: 5 of 125
  • Marketing 229
  • Management Science and Operations Research 171
  • Computational Mathematics 4
  • Artificial Intelligence 207
  • Biophysics 37
Replace Ori Stitelman with:
Ori Stitelman United States
Ioannis Giotis Netherlands
Tien Thanh Nguyen Australia
Rayed AlGhamdi Saudi Arabia
Qusai Y. Shambour Jordan
John P. Dickerson United States
Kan Ren China
Rainer Schwabe Germany
Stephen L. France United States
B D'Alessandro relative to Ori Stitelman United States Ori Stitelman's profile →
Citations per field
00.5×5.3×
Ori Stitelman · 1×
Citations per year

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-authors

The 25 scholars most cited alongside B D'Alessandro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B D'Alessandro Line = papers co-authored together B D'Alessandro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013104
2 200993
3 201292
4 201077
5 201264
6 201329
7 201427
8 202124
9 200923
10
Evaluating and Optimizing Online Advertising: Forget the click, but\nthere are good proxies
201220
11 201220
12 197719
13 201319
14 200915
15 202314
16 201214
17 201214
18 201112
19 201512
20 201411

About B D'Alessandro

B D'Alessandro is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Dermatology and Oncology, having authored 51 papers that have together received 814 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (8 papers), Optical Imaging and Spectroscopy Techniques (8 papers), Consumer Market Behavior and Pricing (6 papers), Optical Coherence Tomography Applications (6 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Machine Learning and Data Classification (5 papers), AI in cancer detection (5 papers) and Skin Protection and Aging (4 papers). The work is most often cited by research in Marketing (229 citations), Management Science and Operations Research (171 citations), Computational Mathematics (4 citations), Artificial Intelligence (207 citations) and Biophysics (37 citations). B D'Alessandro has collaborated with scholars based in United States, Australia and France. Frequent 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. Their work appears in journals such as Big Data, IEEE Transactions on Biomedical Engineering, International Journal of Cosmetic Science, Journal of Biomedical Optics and Endocrinology.

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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