Silvia Bacci

2.1k citations
94 papers · 1.6k · h-index 22

Impact in

Papers in

    • Statistical Methods and Inference 9
    • Statistical Methods and Bayesian Inference 8
    • Physics of Superconductivity and Magnetism 15
    • Advanced Condensed Matter Physics 11
    • Theoretical and Computational Physics 7

Silvia Bacci

88 papers receiving 1.5k citations

Peers

Silvia Bacci
Comparison fields: 5 of 150
  • Condensed Matter Physics 678
  • Statistics and Probability 155
  • Electronic, Optical and Magnetic Materials 233
  • Atomic and Molecular Physics, and Optics 336
  • Human-Computer Interaction 52
Replace Anil Khurana with:
Anil Khurana India
Francesco Bartolucci Italy
Ye Sun United States
David Preiss United Kingdom
Jean‐Marc Robin France
B. A. Vojak United States
Siew Ann Cheong Singapore
Giacomo Livan United Kingdom
Joachim Merz Germany
Silvia Bacci relative to Anil Khurana India Anil Khurana's profile →
Citations per field
00.5×10×20×25.8×
Anil Khurana · 1×
Citations per year

Countries citing papers authored by Silvia Bacci

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Bacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990261
2 2015127
3 1990100
4 199074
5 201669
6 201352
7 201550
8 199140
9 199339
10 201339
11 201438
12
Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata
201534
13 199133
14 201331
15 199027
16 199027
17 199126
18 201626
19 201726
20 199223

About Silvia Bacci

Silvia Bacci is a scholar working on Statistics and Probability, Condensed Matter Physics, Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (15 papers), Advanced Condensed Matter Physics (11 papers), Psychometric Methodologies and Testing (10 papers), Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (8 papers), Bayesian Methods and Mixture Models (7 papers), Theoretical and Computational Physics (7 papers) and Advanced Statistical Modeling Techniques (7 papers). The work is most often cited by research in Condensed Matter Physics (678 citations), Statistics and Probability (155 citations), Electronic, Optical and Magnetic Materials (233 citations), Atomic and Molecular Physics, and Optics (336 citations) and Human-Computer Interaction (52 citations). Silvia Bacci has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include E. R. Gagliano, Francesco Bartolucci, Elbio Dagotto, Michela Gnaldi, Robert Joynt, Adriana Moreo, Liliana Minelli, Fulvia Pennoni, Stefano Federici and Bruno Bertaccini. Their work appears in journals such as Physical review. B, Condensed matter, Quality & Quantity, Computational Statistics & Data Analysis, Advances in Data Analysis and Classification and Socio-Economic Planning Sciences.

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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