Luigi D’Ambra
- Food Science top 10%
- Statistics and Probability top 5%
- Surgery
- Pulmonary and Respiratory Medicine
- Management Science and Operations Research
- Co-authors
- Eric J. BehBiagio SimonettiPietro AmentaStefano BertiPasquale SarnacchiaroMichele GalloPierfrancesco BonfanteClaudio Bianchi
- Topics
- Sensory Analysis and Statistical Methods (16 papers)Advanced Statistical Methods and Models (8 papers)Spectroscopy and Chemometric Analyses (5 papers)
In The Last Decade
Luigi D’Ambra
39 papers receiving 310 citations
Peers
Comparison fields: 5 of 116
- Food Science 108
- Statistics and Probability 72
- Surgery 56
- Pulmonary and Respiratory Medicine 33
- Management Science and Operations Research 31
Countries citing papers authored by Luigi D’Ambra
This map shows the geographic impact of Luigi D’Ambra'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 Luigi D’Ambra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luigi D’Ambra more than expected).
Fields of papers citing papers by Luigi D’Ambra
This network shows the impact of papers produced by Luigi D’Ambra. 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 Luigi D’Ambra. The network helps show where Luigi D’Ambra may publish in the future.
Co-authorship network of co-authors of Luigi D’Ambra
This figure shows the co-authorship network connecting the top 25 collaborators of Luigi D’Ambra. A scholar is included among the top collaborators of Luigi D’Ambra 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 Luigi D’Ambra. Luigi D’Ambra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 6 | |
| 4 | Double pancreaticojejunostomy in pure laparoscopic central pancreatectomy: an uncommon reconstructive strategy. | 0 |
| 5 | Dimensionality reduction methods | 4 |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | Massima Entropia generalizzata e Simple Component Analysis per l'analisi della customer satisfaction nel trasporto pubblico locale: l'esperienza dell'azienda AMTS di Benevento | 1 |
| 16 | 23 | |
| 17 | La valutazione della customer satisfaction. | 2 |
| 18 | 25 | |
| 19 | Spatial Dimension of Choice Models and Zoning Processes within a Trasportation System | 1 |
| 20 | Non symmetrical analysis of three-way contingency tables | 22 |
About Luigi D’Ambra
Luigi D’Ambra is a scholar working on Statistics and Probability, Food Science and Analytical Chemistry, having authored 43 papers that have together received 327 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (16 papers), Advanced Statistical Methods and Models (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Computational Mathematics (8 citations), Statistics and Probability (72 citations) and Food Science (108 citations). Luigi D’Ambra has collaborated with scholars based in Italy, Australia and Canada. Frequent co-authors include Eric J. Beh, Biagio Simonetti, Pietro Amenta, Stefano Berti, Pasquale Sarnacchiaro, Michele Gallo, Pierfrancesco Bonfante, Claudio Bianchi, Daniela Gianquinto and Giovanni Meccariello. Their work appears in journals such as Journal of the American College of Surgeons, World Journal of Surgery and Surgical Endoscopy.
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.