Davide Ballabio

116 papers receiving 5.3k citations

Davide Ballabio's Hit Papers

Classification tools in chemistry. Part 1: linear models. PLS-DA 2013 · 1.0k citations
1.0k0+4+9Years since publication2505007501000

Peers

Davide Ballabio
Comparison fields: 5 of 188
  • Analytical Chemistry 1.6k
  • Computational Theory and Mathematics 1.3k
  • Biophysics 427
  • Spectroscopy 596
  • Food Science 575
Replace Márcia M. C. Ferreira with:
Márcia M. C. Ferreira Brazil
Károly Héberger Hungary
Riccardo Leardi Italy
Jahan B. Ghasemi Iran
Beata Walczak Poland
Viviana Consonni Italy
Johan Trygg Sweden
Yong‐Huan Yun China
Johan A. Westerhuis Netherlands
Курт Вармуза Austria
Davide Ballabio relative to Márcia M. C. Ferreira Brazil Márcia M. C. Ferreira's profile →
Citations per field
00.5×3.6×
Márcia M. C. Ferreira · 1×
Citations per year

Countries citing papers authored by Davide Ballabio

Since Specialization
Citations

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

Fields of papers citing papers by Davide Ballabio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Classification tools in chemistry. Part 1: linear models. PLS-DA
Hit paper breakdown →
20131036
2
Comparison of Different Approaches to Define the Applicability Domain of QSAR Models
Hit paper breakdown →
2012439
3 2010314
4 2017259
5 2015180
6 2013156
7 2012130
8 2013127
9 2006122
10 2006121
11 2005110
12 2009106
13 201194
14 201888
15 201688
16 201477
17 201375
18 201064
19 200859
20 202057

About Davide Ballabio

Davide Ballabio is a scholar working on Analytical Chemistry, Computational Theory and Mathematics, Biomedical Engineering, Spectroscopy and Molecular Biology, having authored 124 papers that have together received 5.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (46 papers), Computational Drug Discovery Methods (40 papers), Advanced Chemical Sensor Technologies (28 papers), Analytical Chemistry and Chromatography (25 papers), Advanced Statistical Methods and Models (10 papers), Meat and Animal Product Quality (8 papers), Machine Learning in Materials Science (8 papers) and Fermentation and Sensory Analysis (7 papers). The work is most often cited by research in Analytical Chemistry (1.6k citations), Computational Theory and Mathematics (1.3k citations), Biophysics (427 citations), Spectroscopy (596 citations) and Food Science (575 citations). Davide Ballabio has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Viviana Consonni, Roberto Todeschini, Francesca Grisoni, Andrea Mauri, Faizan Sahigara, Maria Stella Cosio, Kamel Mansouri, S. Benedetti, Mahdi Vasighi and Susanna Buratti. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Analytica Chimica Acta, Journal of Chemometrics, Journal of Chemical Information and Modeling and Journal of Cheminformatics.

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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