Eva Riccomagno
Impact in
-
- Optimal Experimental Design Methods
-
- Advanced Multi-Objective Optimization Algorithms
- Polynomial and algebraic computation
Papers in
-
- Polynomial and algebraic computation 9
- Topological and Geometric Data Analysis 3
- Advanced Multi-Objective Optimization Algorithms 3
-
- Optimal Experimental Design Methods 7
- Co-authors
- Henry P. Wynn (14 shared papers)Ron Bates (3 shared papers)R. Buck (1 shared paper)Michael J. Chappell (1 shared paper)Giovanni Pistone (6 shared papers)Jim Q. Smith (2 shared papers)Rainer Schwabe (2 shared papers)Lisa J. White (1 shared paper)
- Journals
- International Journal of Approximate Reasoning (2 papers)Statistica Sinica (2 papers)Statistics and Computing (2 papers)Annals of the Institute of Statistical Mathematics (2 papers)Quality and Reliability Engineering International (2 papers)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Eva Riccomagno
40 papers receiving 489 citations
Peers
Comparison fields: 5 of 103
- Management Science and Operations Research 175
- Computational Theory and Mathematics 207
- Statistics, Probability and Uncertainty 87
- Numerical Analysis 53
- Statistics and Probability 52
Countries citing papers authored by Eva Riccomagno
This map shows the geographic impact of Eva Riccomagno'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 Eva Riccomagno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Riccomagno more than expected).
Fields of papers citing papers by Eva Riccomagno
This network shows the impact of papers produced by Eva Riccomagno. 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 Eva Riccomagno. The network helps show where Eva Riccomagno may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Riccomagno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 141 | |
| 2 | 2001 | 79 | |
| 3 | 2010 | 34 | |
| 4 | 1997 | 30 | |
| 5 | 2000 | 23 | |
| 6 | 2022 | 18 | |
| 7 | 2004 | 17 | |
| 8 | 2008 | 17 | |
| 9 | 2018 | 14 | |
| 10 | 2014 | 14 | |
| 11 | 2015 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 1998 | 10 | |
| 14 | 2004 | 9 | |
| 15 | Experimental Design and Observation for Large Systems (with discussion) | 1996 | 8 |
| 16 | 1999 | 8 | |
| 17 | The fan of an experimental design | 1999 | 7 |
| 18 | 2014 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2000 | 6 |
About Eva Riccomagno
Eva Riccomagno is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence, Statistics and Probability and Molecular Biology, having authored 44 papers that have together received 532 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (9 papers), Optimal Experimental Design Methods (7 papers), Bayesian Modeling and Causal Inference (5 papers), Mathematical Approximation and Integration (3 papers), Topological and Geometric Data Analysis (3 papers), Robotic Path Planning Algorithms (3 papers), Advanced Numerical Analysis Techniques (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Management Science and Operations Research (175 citations), Computational Theory and Mathematics (207 citations), Statistics, Probability and Uncertainty (87 citations), Numerical Analysis (53 citations) and Statistics and Probability (52 citations). Eva Riccomagno has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Henry P. Wynn, Ron Bates, R. Buck, Michael J. Chappell, Giovanni Pistone, Jim Q. Smith, Rainer Schwabe, Lisa J. White, Gherardo Varando and Massimo Caccia. Their work appears in journals such as International Journal of Approximate Reasoning, Statistica Sinica, Statistics and Computing, Annals of the Institute of Statistical Mathematics and Quality and Reliability Engineering International.
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.