Giuseppina Gini

139 papers receiving 2.7k citations

Peers

Giuseppina Gini
Comparison fields: 5 of 151
  • Computational Theory and Mathematics 1.4k
  • Health, Toxicology and Mutagenesis 371
  • Chemical Health and Safety 16
  • Environmental Chemistry 241
  • Rehabilitation 113
Replace Dávid Bajusz with:
Dávid Bajusz Hungary
David T. Stanton United States
Anita Rácz Hungary
Ivo Provazník Czechia
Haiyun Zhou China
John Bosco Balaguru Rayappan India
Leonid Chepelev Canada
Lothar Terfloth Germany
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Yumin Zhang China
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Citations per field
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Dávid Bajusz · 1×
Citations per year

Countries citing papers authored by Giuseppina Gini

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppina Gini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005158
2 2013124
3 2013118
4
VEGA-QSAR: AI Inside a Platform for Predictive Toxicology.
2013110
5 201187
6 201284
7 200383
8 199769
9 201068
10 202065
11 201964
12 201159
13 199957
14 201455
15 202252
16 201152
17 201148
18 202142
19 200441
20 201139

About Giuseppina Gini

Giuseppina Gini is a scholar working on Computational Theory and Mathematics, Biomedical Engineering, Artificial Intelligence, Cognitive Neuroscience and Molecular Biology, having authored 141 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (67 papers), Analytical Chemistry and Chromatography (17 papers), Muscle activation and electromyography studies (16 papers), Machine Learning in Materials Science (15 papers), EEG and Brain-Computer Interfaces (13 papers), Robot Manipulation and Learning (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Chemistry and Chemical Engineering (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Health, Toxicology and Mutagenesis (371 citations), Chemical Health and Safety (16 citations), Environmental Chemistry (241 citations) and Rehabilitation (113 citations). Giuseppina Gini has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Emilio Benfenati, Alla P. Toropova, Andrey A. Toropov, Michele Folgheraiter, Danuta Leszczyńska, Jerzy Leszczyński, Alberto Manganaro, Maria Gabriella Mulas, Alessandra Roncaglioni and Maria Gini. Their work appears in journals such as SAR and QSAR in environmental research, Chemometrics and Intelligent Laboratory Systems, Chemosphere, IEEE Pulse and Advanced Robotics.

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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