I. De Iorio

843 total citations · 1 hit paper
16 papers, 709 citations indexed

About

I. De Iorio is a scholar working on Mechanical Engineering, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, I. De Iorio has authored 16 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 6 papers in Computational Mechanics and 4 papers in Mechanics of Materials. Recurrent topics in I. De Iorio's work include Laser Material Processing Techniques (6 papers), Advanced Surface Polishing Techniques (4 papers) and Mechanical Behavior of Composites (3 papers). I. De Iorio is often cited by papers focused on Laser Material Processing Techniques (6 papers), Advanced Surface Polishing Techniques (4 papers) and Mechanical Behavior of Composites (3 papers). I. De Iorio collaborates with scholars based in Italy. I. De Iorio's co-authors include C. Leone, Valentina Lopresto, G. Caprino, V. Tagliaferri, Roberto Teti, Luigi Nele, L. Lanotte, F. Jovane, Loredana Santo and N. Rinaldi and has published in prestigious journals such as Composites Science and Technology, Composites Part B Engineering and Journal of Materials Processing Technology.

In The Last Decade

I. De Iorio

15 papers receiving 662 citations

Hit Papers

Mechanical characterisation of basalt fibre reinforced pl... 2011 2026 2016 2021 2011 100 200 300 400
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.

  1. Mechanical characterisation of basalt fibre reinforced plastic
    2011 491 citations Valentina Lopresto, C. Leone et al. Composites Part B Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. De Iorio Italy 9 312 292 272 210 199 16 709
Dimitrios Mamalis United Kingdom 13 433 1.4× 234 0.8× 384 1.4× 84 0.4× 95 0.5× 18 765
B. Pradhan India 18 624 2.0× 127 0.4× 300 1.1× 342 1.6× 199 1.0× 53 944
G D Sims United Kingdom 12 341 1.1× 150 0.5× 232 0.9× 145 0.7× 95 0.5× 48 611
Aamir Dean Germany 22 714 2.3× 183 0.6× 430 1.6× 208 1.0× 114 0.6× 43 1.0k
T.J. Swait United Kingdom 11 626 2.0× 202 0.7× 428 1.6× 322 1.5× 151 0.8× 13 990
R.D.F. Moreira Portugal 15 649 2.1× 67 0.2× 279 1.0× 240 1.1× 213 1.1× 55 823
François Côté United Kingdom 9 338 1.1× 224 0.8× 673 2.5× 224 1.1× 53 0.3× 11 817
Mehdi Yasaee United Kingdom 21 1.0k 3.2× 314 1.1× 617 2.3× 336 1.6× 101 0.5× 44 1.3k
Radha Raman Dash India 12 257 0.8× 190 0.7× 268 1.0× 116 0.6× 54 0.3× 25 617
Ömer Yavuz Bozkurt Türkiye 17 507 1.6× 416 1.4× 370 1.4× 126 0.6× 111 0.6× 45 750

Countries citing papers authored by I. De Iorio

Since Specialization
Citations

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

Fields of papers citing papers by I. De Iorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. De Iorio. 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 I. De Iorio. The network helps show where I. De Iorio may publish in the future.

Co-authorship network of co-authors of I. De Iorio

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

All Works

16 of 16 papers shown
1.
Lopresto, Valentina, C. Leone, & I. De Iorio. (2011). Mechanical characterisation of basalt fibre reinforced plastic. Composites Part B Engineering. 42(4). 717–723. 491 indexed citations breakdown →
2.
Lopresto, Valentina, C. Leone, G. Caprino, & I. De Iorio. (2011). Innovative Sandwiches for Civil Applications. Procedia Engineering. 10. 2058–2067. 6 indexed citations
3.
Leone, C., Valentina Lopresto, F. Memola Capece Minutolo, I. De Iorio, & N. Rinaldi. (2010). <title>Laser ablation of maskant used in chemical milling process for aerospace applications</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7751. 77511M–77511M. 2 indexed citations
4.
Leone, C., et al.. (2009). Wood Laser machining using CO2 30W laser in CW and pulse regime. Cineca Institutional Research Information System (Tor Vergata University). 2 indexed citations
5.
Leone, C., et al.. (2009). SOLID STATE ND:YAG LASER CUTTING OF CFRP SHEET: INFLUENCE OF PROCESS PARAMETERS ON KERF GEOMETRY AND HAZ. Zenodo (CERN European Organization for Nuclear Research). 1. 1–10. 38 indexed citations
6.
Leone, C., Valentina Lopresto, & I. De Iorio. (2008). Wood engraving by Q-switched diode-pumped frequency-doubled Nd:YAG green laser. Optics and Lasers in Engineering. 47(1). 161–168. 55 indexed citations
7.
Leone, C., et al.. (2005). Cutting of thin metal sheets using Nd:YAG lasers with different pulse duration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6157. 61570Q–61570Q. 12 indexed citations
8.
Caprino, G., Roberto Teti, & I. De Iorio. (2005). Predicting residual strength of pre-fatigued glass fibre-reinforced plastic laminates through acoustic emission monitoring. Composites Part B Engineering. 36(5). 365–371. 26 indexed citations
9.
Leone, C., G. Caprino, & I. De Iorio. (2005). Interpreting acoustic emission signals by artificial neural networks to predict the residual strength of pre-fatigued GFRP laminates. Composites Science and Technology. 66(2). 233–239. 25 indexed citations
10.
Leone, C., Valentina Lopresto, G. Caprino, & I. De Iorio. (2002). Increasing the wettability of EVA trough a laboratory glow discharge cold plasma reactor treatment. WIT transactions on the built environment. 4. 625–634. 2 indexed citations
11.
Iorio, I. De, C. Leone, Luigi Nele, & V. Tagliaferri. (1997). Plasma treatments of polymeric materials and Al alloy for adhesive bonding. Journal of Materials Processing Technology. 68(2). 179–183. 27 indexed citations
12.
Caprino, G., I. De Iorio, Loredana Santo, & Luigi Nele. (1996). On the machinability of composite materials. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
13.
Lanotte, L., et al.. (1992). Effect of laser cutting on magnetic properties of grain oriented Fe–Si ribbons. Materials Science and Technology. 8(3). 252–256. 9 indexed citations
14.
Lanotte, L., et al.. (1992). Effect of laser cutting on magnetic properties of grain oriented Fe–Si ribbons. Materials Science and Technology. 8(3). 252–256.
15.
Jovane, F., et al.. (1988). Laser Welding of Stainless Steel: Influence of the Edges Morphology. CIRP Annals. 37(1). 545–548. 8 indexed citations
16.
Iorio, I. De, V. Tagliaferri, & L. Lanotte. (1985). Noncrystalline Ni-P Electrodeposits. JOM. 37(11). 48–50. 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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