Iris Agresti

445 total citations
21 papers, 257 citations indexed

About

Iris Agresti is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Iris Agresti has authored 21 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Atomic and Molecular Physics, and Optics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Iris Agresti's work include Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (11 papers) and Quantum Computing Algorithms and Architecture (9 papers). Iris Agresti is often cited by papers focused on Quantum Information and Cryptography (19 papers), Quantum Mechanics and Applications (11 papers) and Quantum Computing Algorithms and Architecture (9 papers). Iris Agresti collaborates with scholars based in Italy, Brazil and Austria. Iris Agresti's co-authors include Fabio Sciarrino, Gonzalo Carvacho, Davide Poderini, Emanuele Polino, Rafael Chaves, Alessia Suprano, Giorgio Milani, Lorenzo Marrucci, Marco Bentivegna and Andrea Rocchetto and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Iris Agresti

20 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Agresti Italy 10 204 203 34 27 13 21 257
Amir Moqanaki Austria 5 219 1.1× 197 1.0× 33 1.0× 44 1.6× 7 0.5× 8 260
Giorgio Milani Italy 9 323 1.6× 266 1.3× 25 0.7× 68 2.5× 23 1.8× 16 390
Nikolai Miklin Germany 10 214 1.0× 227 1.1× 31 0.9× 8 0.3× 4 0.3× 22 253
Lukas Knips Germany 10 249 1.2× 241 1.2× 32 0.9× 21 0.8× 11 0.8× 20 290
Daniel Burchardt Germany 2 205 1.0× 273 1.3× 26 0.8× 52 1.9× 25 1.9× 2 303
Yang-Fan Jiang China 9 300 1.5× 288 1.4× 20 0.6× 43 1.6× 15 1.2× 13 338
Ya-Li Mao China 8 260 1.3× 264 1.3× 19 0.6× 39 1.4× 16 1.2× 15 297
Ariel Bendersky Argentina 7 172 0.8× 146 0.7× 12 0.4× 18 0.7× 9 0.7× 13 192
R. Gutiérrez-Jáuregui United States 8 229 1.1× 281 1.4× 60 1.8× 20 0.7× 11 0.8× 21 326
G. Khoury United States 6 268 1.3× 288 1.4× 13 0.4× 34 1.3× 13 1.0× 10 325

Countries citing papers authored by Iris Agresti

Since Specialization
Citations

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

Fields of papers citing papers by Iris Agresti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Agresti

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

All Works

20 of 20 papers shown
1.
Agresti, Iris, Koushik Paul, Simone Piacentini, et al.. (2025). Demonstration of hardware efficient photonic variational quantum algorithm. Physical Review Research. 7(4).
2.
Agresti, Iris, Simone Piacentini, Andrea Crespi, et al.. (2025). Experimental quantum-enhanced kernel-based machine learning on a photonic processor. Nature Photonics. 19(9). 1020–1027. 2 indexed citations
3.
Quintino, Marco Túlio, et al.. (2024). Experimental superposition of a quantum evolution with its time reverse. Physical Review Research. 6(2). 4 indexed citations
4.
Corrielli, Giacomo, Iris Agresti, Gonzalo Carvacho, et al.. (2024). High-fidelity four-photon GHZ states on chip. npj Quantum Information. 10(1). 15 indexed citations
5.
Piacentini, Simone, et al.. (2024). Programmable multiphoton quantum interference in a single spatial mode. Science Advances. 10(16). eadj0993–eadj0993. 6 indexed citations
6.
Polino, Emanuele, Davide Poderini, Iris Agresti, et al.. (2024). Photonic implementation of quantum gravity simulator. Advanced Photonics Nexus. 3(3). 4 indexed citations
7.
Polino, Emanuele, Davide Poderini, Iris Agresti, et al.. (2023). Experimental nonclassicality in a causal network without assuming freedom of choice. Nature Communications. 14(1). 909–909. 13 indexed citations
8.
Polino, Emanuele, et al.. (2023). Machine-learning-based device-independent certification of quantum networks. Physical Review Research. 5(2). 4 indexed citations
9.
Corrielli, Giacomo, Iris Agresti, Gonzalo Carvacho, et al.. (2023). Generation of four-photon GHZ states on a laser written integrated platform. QM4A.7–QM4A.7. 1 indexed citations
10.
Agresti, Iris, Davide Poderini, Nikolai Miklin, et al.. (2022). Experimental test of quantum causal influences. IRIS Research product catalog (Sapienza University of Rome). 13 indexed citations
11.
Suprano, Alessia, Davide Poderini, Emanuele Polino, et al.. (2022). Experimental Genuine Tripartite Nonlocality in a Quantum Triangle Network. PRX Quantum. 3(3). 16 indexed citations
12.
Agresti, Iris, Davide Poderini, Nikolai Miklin, et al.. (2022). Experimental test of quantum causal influences within an instrumental process. Conference on Lasers and Electro-Optics. 125. FTh5O.6–FTh5O.6. 1 indexed citations
13.
Agresti, Iris, Davide Poderini, Emanuele Polino, et al.. (2021). Experimental Robust Self-Testing of the State Generated by a Quantum Network. PRX Quantum. 2(2). 18 indexed citations
14.
Chaves, Rafael, Emanuele Polino, Davide Poderini, et al.. (2021). Causal Networks and Freedom of Choice in Bell’s Theorem. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 21 indexed citations
15.
Poderini, Davide, Iris Agresti, Emanuele Polino, et al.. (2020). Experimental violation of n-locality in a star quantum network. Nature Communications. 11(1). 2467–2467. 42 indexed citations
16.
Rocchetto, Andrea, Scott Aaronson, Simone Severini, et al.. (2019). Experimental learning of quantum states. IRIS Research product catalog (Sapienza University of Rome). 44 indexed citations
17.
Agresti, Iris, Gonzalo Carvacho, Davide Poderini, et al.. (2019). Experimental Connection between the Instrumental and Bell Inequalities. SHILAP Revista de lepidopterología. 27–27. 3 indexed citations
18.
D’Ambrosio, Vincenzo, Gonzalo Carvacho, Iris Agresti, Lorenzo Marrucci, & Fabio Sciarrino. (2019). Tunable Two-Photon Quantum Interference of Structured Light. Physical Review Letters. 122(1). 13601–13601. 30 indexed citations
19.
D’Ambrosio, Vincenzo, Lorenzo Marrucci, Gonzalo Carvacho, Iris Agresti, & Fabio Sciarrino. (2019). Tunable two-photon quantum interference of structured light. F5A.50–F5A.50. 1 indexed citations
20.
Poderini, Davide, Rafael Chaves, Iris Agresti, Gonzalo Carvacho, & Fabio Sciarrino. (2019). Exclusivity graph approach to Instrumental inequalities. arXiv (Cornell University). 1274–1283. 1 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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