Giulia Vilone

863 total citations · 1 hit paper
11 papers, 490 citations indexed

About

Giulia Vilone is a scholar working on Artificial Intelligence, Health, Toxicology and Mutagenesis and Health Informatics. According to data from OpenAlex, Giulia Vilone has authored 11 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in Health Informatics. Recurrent topics in Giulia Vilone's work include Explainable Artificial Intelligence (XAI) (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Giulia Vilone is often cited by papers focused on Explainable Artificial Intelligence (XAI) (5 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Giulia Vilone collaborates with scholars based in Ireland, United States and India. Giulia Vilone's co-authors include Luca Longo, Cian O’Mahony, Jon A. Arnot, Lesa L. Aylward, Judy S. LaKind, Carol J. Burns, Christina Cowan‐Ellsberry, John N. Westgate, Sean M. Hays and Daniel Q. Naiman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Fusion and Journal of Exposure Science & Environmental Epidemiology.

In The Last Decade

Giulia Vilone

11 papers receiving 468 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Notions of explainability and evaluation approaches for explainable artificial intelligence

2021 309 citations Giulia Vilone, Luca Longo Information Fusion profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Giulia Vilone Ireland	7	311	85	48	39	30	11	490
Ángel Fernández-Leal Spain	6	157 0.5×	56 0.7×	34 0.7×	32 0.8×	24 0.8×	9	411
José Bobes-Bascarán Spain	4	155 0.5×	60 0.7×	36 0.8×	34 0.9×	25 0.8×	7	383
Sayash Kapoor United States	9	153 0.5×	44 0.5×	57 1.2×	16 0.4×	29 1.0×	15	435
Waddah Saeed Malaysia	4	254 0.8×	64 0.8×	20 0.4×	33 0.8×	22 0.7×	5	423
Dylan Slack United States	5	334 1.1×	57 0.7×	57 1.2×	19 0.5×	17 0.6×	6	478
Sophie Hilgard United States	4	302 1.0×	50 0.6×	45 0.9×	20 0.5×	16 0.5×	4	431
Emily Jia United States	2	279 0.9×	45 0.5×	39 0.8×	20 0.5×	16 0.5×	4	399
Alessa Angerschmid Austria	8	184 0.6×	62 0.7×	60 1.3×	40 1.0×	13 0.4×	11	412
Tobias Leemann Germany	3	262 0.8×	25 0.3×	15 0.3×	54 1.4×	20 0.7×	4	513
Sadman Sakib Bangladesh	6	176 0.6×	39 0.5×	10 0.2×	38 1.0×	25 0.8×	13	432

Countries citing papers authored by Giulia Vilone

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Vilone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Vilone

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

All Works

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11 of 11 papers shown

1.

Vilone, Giulia & Luca Longo. (2021). A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods. Frontiers in Artificial Intelligence. 4. 717899–717899. 14 indexed citations

2.

Vilone, Giulia & Luca Longo. (2021). Notions of explainability and evaluation approaches for explainable artificial intelligence. Information Fusion. 76. 89–106. 309 indexed citations breakdown →

3.

Vilone, Giulia, et al.. (2021). A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence. Arrow - TU Dublin (Technological University Dublin). 85–96. 4 indexed citations

4.

Mohandas, Nimmi P., et al.. (2021). Impact of AI technologies on organisational learning: proposing an organisation cognition schema. Development in Learning Organizations An International Journal. 36(5). 7–9. 5 indexed citations

5.

Vilone, Giulia & Luca Longo. (2021). Classification of Explainable Artificial Intelligence Methods through Their Output Formats. SHILAP Revista de lepidopterología. 3(3). 615–661. 79 indexed citations

6.

Hawryluk, Iwona, et al.. (2020). Probabilistic modelling of exposure to pesticide residues in foods and tobacco. International Journal of Environment Agriculture and Biotechnology. 5(2). 261–274. 5 indexed citations

7.

Vilone, Giulia & Luca Longo. (2020). Explainable Artificial Intelligence: a Systematic Review. arXiv (Cornell University). 40 indexed citations

8.

Aylward, Lesa L., Giulia Vilone, Christina Cowan‐Ellsberry, et al.. (2018). Exposure to selected preservatives in personal care products: case study comparison of exposure models and observational biomonitoring data. Journal of Exposure Science & Environmental Epidemiology. 30(1). 28–41. 11 indexed citations

9.

LaKind, Judy S., et al.. (2017). Critical and systematic evaluation of data for estimating human exposures to 2,4-dichlorophenoxyacetic acid (2,4-D) – quality and generalizability. Journal of Toxicology and Environmental Health Part B. 20(8). 423–446. 13 indexed citations

10.

Vilone, Giulia, et al.. (2014). Statistical method to assess usual dietary intakes in the European population. Food Additives & Contaminants Part A. 31(10). 1639–1651. 8 indexed citations

11.

O’Mahony, Cian & Giulia Vilone. (2013). Compiled European Food Consumption Database. EFSA Supporting Publications. 10(4). 2 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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