Filippo Domma

817 citations
40 papers · 614 · h-index 16

Impact in

Papers in

Filippo Domma

38 papers receiving 585 citations

Peers

Filippo Domma
Comparison fields: 5 of 93
  • Statistics and Probability 324
  • Statistics, Probability and Uncertainty 217
  • Aging 37
  • Finance 97
  • Safety, Risk, Reliability and Quality 76
Replace Sabrina Giordano with:
Sabrina Giordano Italy
S. T. Boris Choy Australia
David D. Hanagal India
Mohamed Ibrahim Egypt
Kahadawala Cooray United States
C. Caroni Greece
Eric Beutner Netherlands
Malwane M. A. Ananda United States
Henrik Ramlau-Hansen Denmark
Enrique Calderín–Ojeda Australia
Filippo Domma relative to Sabrina Giordano Italy Sabrina Giordano's profile →
Citations per field
00.5×2.6×
Sabrina Giordano · 1×
Citations per year

Countries citing papers authored by Filippo Domma

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Domma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Filippo Domma, 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 Filippo Domma Line = papers co-authored together Filippo Domma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201257
2 201343
3 200642
4 201238
5 201035
6 201132
7 201730
8 200630
9 201126
10 201726
11 200926
12 200823
13 201523
14 200920
15 201819
16 201617
17 201415
18 201613
19 202310
20 200710

About Filippo Domma

Filippo Domma is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Finance, Economics and Econometrics and Safety, Risk, Reliability and Quality, having authored 40 papers that have together received 614 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (22 papers), Probabilistic and Robust Engineering Design (13 papers), Financial Risk and Volatility Modeling (9 papers), Reliability and Maintenance Optimization (6 papers), Hydrology and Drought Analysis (5 papers), Statistical Methods and Bayesian Inference (4 papers), Bayesian Methods and Mixture Models (4 papers) and Probability and Risk Models (3 papers). The work is most often cited by research in Statistics and Probability (324 citations), Statistics, Probability and Uncertainty (217 citations), Aging (37 citations), Finance (97 citations) and Safety, Risk, Reliability and Quality (76 citations). Filippo Domma has collaborated with scholars based in Italy, Montenegro and United States. Frequent co-authors include Sabrina Giordano, Francesca Condino, Pier Francesco Perri, Alberto Montesanto, Graziella Bonanno, Mariangela Zenga, Giuseppe Passarino, Božidar V. Popović, Vincenzo Mari and E Feraco. Their work appears in journals such as Statistical Papers, Scientific Reports, Journal of Productivity Analysis, Physica A Statistical Mechanics and its Applications and Biogerontology.

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.

Explore authors with similar magnitude of impact