Marica Manisera
- Economics and Econometrics top 10%
- Artificial Intelligence
- Statistics and Probability top 5%
- Food Science
- Orthopedics and Sports Medicine top 10%
- Co-authors
- Paola ZuccolottoMarco SandriMaurizio CarpitaElise DusseldorpAnita J. van der KooijMaria IannarioDomenico PiccoloMarika Vezzoli
- Topics
- Sensory Analysis and Statistical Methods (11 papers)Sports Analytics and Performance (9 papers)Statistical Methods and Bayesian Inference (5 papers)
- Cited by
- Statistics and ProbabilityOrthopedics and Sports MedicineTourism, Leisure and Hospitality Management
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPattern Recognition Letters
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Marica Manisera
36 papers receiving 383 citations
Peers
Comparison fields: 5 of 107
- Economics and Econometrics 100
- Artificial Intelligence 86
- Statistics and Probability 85
- Food Science 63
- Orthopedics and Sports Medicine 55
Countries citing papers authored by Marica Manisera
This map shows the geographic impact of Marica Manisera'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 Marica Manisera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marica Manisera more than expected).
Fields of papers citing papers by Marica Manisera
This network shows the impact of papers produced by Marica Manisera. 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 Marica Manisera. The network helps show where Marica Manisera may publish in the future.
Co-authorship network of co-authors of Marica Manisera
This figure shows the co-authorship network connecting the top 25 collaborators of Marica Manisera. A scholar is included among the top collaborators of Marica Manisera 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 Marica Manisera. Marica Manisera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | Weighted Rank Correlation measures in Hierarchical Cluster Analysis | 3 |
| 19 | Weighting the Spearman’s Rank Correlation Index | 3 |
| 20 | 60 |
About Marica Manisera
Marica Manisera is a scholar working on Industrial relations, Statistics and Probability and Food Science, having authored 39 papers that have together received 409 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (11 papers), Sports Analytics and Performance (9 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Statistics and Probability (85 citations), Orthopedics and Sports Medicine (55 citations) and Tourism, Leisure and Hospitality Management (7 citations). Marica Manisera has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Paola Zuccolotto, Marco Sandri, Maurizio Carpita, Elise Dusseldorp, Anita J. van der Kooij, Maria Iannario, Domenico Piccolo and Marika Vezzoli. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pattern Recognition Letters.
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.