Michela Gnaldi

659 total citations
26 papers, 415 citations indexed

About

Michela Gnaldi is a scholar working on Management Science and Operations Research, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Michela Gnaldi has authored 26 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 7 papers in Sociology and Political Science and 5 papers in Computer Networks and Communications. Recurrent topics in Michela Gnaldi's work include Advanced Statistical Modeling Techniques (5 papers), Psychometric Methodologies and Testing (5 papers) and Corruption and Economic Development (3 papers). Michela Gnaldi is often cited by papers focused on Advanced Statistical Modeling Techniques (5 papers), Psychometric Methodologies and Testing (5 papers) and Corruption and Economic Development (3 papers). Michela Gnaldi collaborates with scholars based in Italy, Luxembourg and United Kingdom. Michela Gnaldi's co-authors include Silvia Bacci, Francesco Bartolucci, Simone Borsci, Stefano Federici, Jo Morrison, Ian Schagen, Maria Giovanna Ranalli, Samuel Greiff and Antonio Forcina and has published in prestigious journals such as Psychometrika, Social Indicators Research and Computational Statistics & Data Analysis.

In The Last Decade

Michela Gnaldi

26 papers receiving 385 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michela Gnaldi 81 67 64 62 49 26 415
Miguel Ángel Marzal García-Quismondo 56 0.7× 37 0.6× 95 1.5× 67 1.1× 41 0.8× 57 503
Ulf Kroehne 123 1.5× 44 0.7× 149 2.3× 110 1.8× 72 1.5× 36 615
Hamdollah Ravand 118 1.5× 39 0.6× 113 1.8× 47 0.8× 89 1.8× 32 503
Pengyuan Wang 28 0.3× 42 0.6× 56 0.9× 108 1.7× 45 0.9× 24 468
N. John Castellan 79 1.0× 70 1.0× 72 1.1× 49 0.8× 88 1.8× 40 588
Jenny Pange 39 0.5× 71 1.1× 388 6.1× 53 0.9× 109 2.2× 64 858
Michael Bliemel 43 0.5× 24 0.4× 27 0.4× 83 1.3× 48 1.0× 22 331
Narendra Mulani 70 0.9× 49 0.7× 28 0.4× 79 1.3× 34 0.7× 11 480
Dennison S. Bhola 130 1.6× 33 0.5× 219 3.4× 49 0.8× 57 1.2× 10 456
John C. Callender 157 1.9× 114 1.7× 28 0.4× 119 1.9× 21 0.4× 20 640

Countries citing papers authored by Michela Gnaldi

Since Specialization
Citations

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

Fields of papers citing papers by Michela Gnaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Gnaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Michela Gnaldi. A scholar is included among the top collaborators of Michela Gnaldi 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 Michela Gnaldi. Michela Gnaldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gnaldi, Michela, et al.. (2024). Measuring Corruption Risk in Public Procurement over Emergency Periods. Social Indicators Research. 172(3). 859–877. 1 indexed citations
2.
Gnaldi, Michela, et al.. (2024). Sustainability and high-level corruption in healthcare procurement: Profiles of Italian contracting authorities. Socio-Economic Planning Sciences. 95. 101988–101988. 1 indexed citations
3.
Gnaldi, Michela, et al.. (2023). Validating Corruption Risk Measures: A Key Step to Monitoring SDG Progress. Social Indicators Research. 175(3). 1045–1071. 7 indexed citations
4.
Gnaldi, Michela, et al.. (2022). Spare time use: profiles of Italian Millennials (beyond the media hype). Statistical Methods & Applications. 31(5). 1403–1428. 1 indexed citations
5.
Gnaldi, Michela, et al.. (2021). Understanding and Fighting Corruption in Europe. 1 indexed citations
6.
Gnaldi, Michela, et al.. (2020). Students’ Complex Problem Solving Profiles. Psychometrika. 85(2). 469–501. 11 indexed citations
7.
Gnaldi, Michela, et al.. (2019). Italian Studies on Quality of Life. 12 indexed citations
8.
Gnaldi, Michela, et al.. (2017). Profiles of students on account of complex problem solving (CPS) strategies exploited via log-data. Florence Research (University of Florence). 505–512. 1 indexed citations
9.
Gnaldi, Michela & Maria Giovanna Ranalli. (2015). Measuring University Performance by Means of Composite Indicators: A Robustness Analysis of the Composite Measure Used for the Benchmark of Italian Universities. Social Indicators Research. 129(2). 659–675. 13 indexed citations
10.
Borsci, Simone, Stefano Federici, Silvia Bacci, Michela Gnaldi, & Francesco Bartolucci. (2015). Assessing User Satisfaction in the Era of User Experience: Comparison of the SUS, UMUX, and UMUX-LITE as a Function of Product Experience. International Journal of Human-Computer Interaction. 31(8). 484–495. 118 indexed citations
11.
Bartolucci, Francesco, Silvia Bacci, & Michela Gnaldi. (2015). Statistical Analysis of Questionnaires. 45 indexed citations
12.
Bartolucci, Francesco, Silvia Bacci, & Michela Gnaldi. (2015). Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata. CERN Document Server (European Organization for Nuclear Research). 28 indexed citations
13.
Gnaldi, Michela & Silvia Bacci. (2015). Joint assessment of the latent trait dimensionality and observed differential item functioning of students’ national tests. Quality & Quantity. 50(4). 1429–1447. 4 indexed citations
14.
Gnaldi, Michela, Silvia Bacci, & Francesco Bartolucci. (2015). A multilevel finite mixture item response model to cluster examinees and schools. Advances in Data Analysis and Classification. 10(1). 53–70. 17 indexed citations
15.
Bacci, Silvia, Francesco Bartolucci, & Michela Gnaldi. (2014). A Class of Multidimensional Latent Class IRT Models for Ordinal Polytomous Item Responses. Communication in Statistics- Theory and Methods. 43(4). 787–800. 33 indexed citations
16.
Gnaldi, Michela, et al.. (2013). Methods of Item Analysis in Standardized Student Assessment: an Application to an Italian Case Study. 12(2). 78–92. 1 indexed citations
17.
Bartolucci, Francesco, Silvia Bacci, & Michela Gnaldi. (2013). MultiLCIRT: An R package for multidimensional latent class item response models. Computational Statistics & Data Analysis. 71. 971–985. 38 indexed citations
18.
Forcina, Antonio, et al.. (2011). A revised Brown and Payne model of voting behaviour applied to the 2009 elections in Italy. Statistical Methods & Applications. 21(1). 109–119. 8 indexed citations
19.
Gnaldi, Michela, et al.. (2008). Indicatori di valutazione della qualità della ricerca negli atenei: sensibilità, sostituibilità e capacità discriminatoria.. Research Padua Archive (University of Padua). 3. 139–171. 1 indexed citations
20.
Gnaldi, Michela, et al.. (2005). Attitude items and low ability students: the need for a cautious approach to interpretation. Educational Studies. 31(2). 103–113. 10 indexed citations

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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