Alessandro Ghio

4.9k total citations · 1 hit paper
82 papers, 2.5k citations indexed

About

Alessandro Ghio is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Accounting. According to data from OpenAlex, Alessandro Ghio has authored 82 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 16 papers in Accounting. Recurrent topics in Alessandro Ghio's work include Machine Learning and Algorithms (16 papers), Face and Expression Recognition (16 papers) and Machine Learning and Data Classification (13 papers). Alessandro Ghio is often cited by papers focused on Machine Learning and Algorithms (16 papers), Face and Expression Recognition (16 papers) and Machine Learning and Data Classification (13 papers). Alessandro Ghio collaborates with scholars based in Italy, Australia and Canada. Alessandro Ghio's co-authors include Davide Anguita, Luca Oneto, Xavier Parra, Sandro Ridella, Luca Ghelardoni, Roberto Verona, Nicholas McGuigan, Alexeis García-Pérez, Jorge Ortiz and Andrei Filip and has published in prestigious journals such as Journal of Business Ethics, Journal of Management Studies and IEEE Transactions on Smart Grid.

In The Last Decade

Alessandro Ghio

78 papers receiving 2.4k 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.

A public domain dataset for human activity recognition using smartphones

2013 1.2k citations Davide Anguita, Alessandro Ghio et al. RECERCAT (Consorci de Serveis Universitaris de Catalunya) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alessandro Ghio Italy	20	1.1k	955	384	379	335	82	2.5k
Sagheer Abbas Pakistan	40	713 0.6×	1.4k 1.5×	991 2.6×	556 1.5×	168 0.5×	150	4.6k
Jing He China	30	526 0.5×	1.1k 1.2×	1.0k 2.7×	499 1.3×	147 0.4×	300	3.7k
Siddhartha Bhattacharyya India	33	895 0.8×	2.0k 2.1×	230 0.6×	287 0.8×	123 0.4×	208	4.1k
Yunchuan Sun China	28	368 0.3×	816 0.9×	804 2.1×	520 1.4×	98 0.3×	138	2.9k
Ah‐Hwee Tan Singapore	30	1.1k 0.9×	2.3k 2.4×	273 0.7×	279 0.7×	124 0.4×	219	3.9k
Damminda Alahakoon Australia	28	548 0.5×	1.6k 1.7×	423 1.1×	994 2.6×	114 0.3×	197	4.0k
Behrouz Minaei‐Bidgoli Iran	35	689 0.6×	1.9k 2.0×	353 0.9×	181 0.5×	140 0.4×	211	3.7k
Ling Chen China	32	815 0.7×	799 0.8×	477 1.2×	318 0.8×	173 0.5×	252	3.6k
Mu‐Yen Chen Taiwan	31	333 0.3×	1.1k 1.2×	623 1.6×	435 1.1×	86 0.3×	167	3.9k
Chao‐Hsien Chu United States	32	319 0.3×	629 0.7×	848 2.2×	300 0.8×	259 0.8×	178	3.7k

Countries citing papers authored by Alessandro Ghio

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Ghio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Ghio

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ghio, Alessandro, et al.. (2025). Constructing gender through reporting: unveiling the rhetorical strategies of an NGO from 1995 to 2021. Accounting Auditing & Accountability Journal. 38(5). 1454–1482. 2 indexed citations

Baudot, Lisa & Alessandro Ghio. (2025). Qualitative Research in North American Journals: A Promising Trajectory and an Invitation. Accounting Horizons. 39(4). 1–12. 1 indexed citations

Ghio, Alessandro, Bertrand Malsch, & Nicholas McGuigan. (2024). LGBTQI+ professional accountants and the consequences of stigmatization: An identity work perspective. Contemporary Accounting Research. 42(1). 360–390. 1 indexed citations

Ghio, Alessandro, et al.. (2024). The Consideration of Diversity in the Accounting Literature: a Systematic Literature Review. SSRN Electronic Journal. 3 indexed citations

Ghio, Alessandro, et al.. (2024). Nurturing diversity in accounting through “Queering” accounting pedagogy. The British Accounting Review. 58(1). 101516–101516.

Oneto, Luca, et al.. (2015). Model selection for Big Data: Algorithmic stability and Bag of Little Bootstraps on GPUs. CINECA IRIS Institutial research information system (University of Pisa). 261–266. 5 indexed citations

Oneto, Luca, Alessandro Ghio, Sandro Ridella, & Davide Anguita. (2015). Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples. Neural Networks. 65. 115–125. 23 indexed citations

Anguita, Davide, Alessandro Ghio, Luca Oneto, & Sandro Ridella. (2014). Learning with Few Bits on Small-Scale Devices: from Regularization to Energy Efficiency. CINECA IRIS Institutial Research Information System (University of Genoa). 2 indexed citations

Ghio, Alessandro & Luca Oneto. (2014). Byte The Bullet: Learning on Real-World Computing Architectures. CINECA IRIS Institutial Research Information System (University of Genoa). 71–80. 7 indexed citations

10.

Anguita, Davide, et al.. (2013). A public domain dataset for human activity recognition using smartphones. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 437–442. 1164 indexed citations breakdown →

11.

Anguita, Davide, Luca Ghelardoni, Alessandro Ghio, & Sandro Ridella. (2013). A Survey of old and New Results for the Test Error Estimation of a Classifier. Journal of Artificial Intelligence and Soft Computing Research. 3(4). 229–242. 2 indexed citations

12.

Oneto, Luca, Alessandro Ghio, Davide Anguita, & Sandro Ridella. (2013). An improved analysis of the Rademacher data-dependent bound using its self bounding property. Neural Networks. 44. 107–111. 11 indexed citations

13.

Ortiz, Jorge, Alessandro Ghio, Davide Anguita, et al.. (2013). Human activity and motion disorder recognition: towards smarter interactive cognitive environments. CINECA IRIS Institutial Research Information System (University of Genoa). 403–412. 33 indexed citations

14.

Anguita, Davide, Alessandro Ghio, Luca Oneto, & Sandro Ridella. (2013). A Learning Machine with a Bit-Based Hypothesis Space. CINECA IRIS Institutial research information system (University of Pisa). 467–472. 11 indexed citations

15.

Anguita, Davide, et al.. (2012). Human activity recognition on smartphones for mobile context awareness. QRU Quaderns de Recerca en Urbanisme. 1–9. 6 indexed citations

16.

Anguita, Davide, Alessandro Ghio, Luca Oneto, & Sandro Ridella. (2012). Structural Risk Minimization and Rademacher Complexity for Regression. CINECA IRIS Institutial research information system (University of Pisa). 2 indexed citations

17.

Anguita, Davide, Luca Ghelardoni, Alessandro Ghio, Luca Oneto, & Sandro Ridella. (2012). The 'K' in K-fold Cross Validation. CINECA IRIS Institutial research information system (University of Pisa). 441–446. 93 indexed citations

18.

Anguita, Davide, Alessandro Ghio, Luca Oneto, & Sandro Ridella. (2011). Maximal Discrepancy Vs. Rademacher Complexity for Error Estimation. CINECA IRIS Institutial research information system (University of Pisa). 14 indexed citations

19.

Oneto, Luca, Davide Anguita, Alessandro Ghio, & Sandro Ridella. (2011). The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. Neural Information Processing Systems. 24. 585–593. 22 indexed citations

20.

Anguita, Davide, et al.. (2009). K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines.. CINECA IRIS Institutial Research Information System (University of Genoa). 291–297. 66 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.

Explore authors with similar magnitude of impact