Franco Maria Nardini

1.7k total citations
94 papers, 965 citations indexed

About

Franco Maria Nardini is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Franco Maria Nardini has authored 94 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 38 papers in Information Systems and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Franco Maria Nardini's work include Topic Modeling (19 papers), Data Management and Algorithms (19 papers) and Information Retrieval and Search Behavior (17 papers). Franco Maria Nardini is often cited by papers focused on Topic Modeling (19 papers), Data Management and Algorithms (19 papers) and Information Retrieval and Search Behavior (17 papers). Franco Maria Nardini collaborates with scholars based in Italy, Brazil and United States. Franco Maria Nardini's co-authors include Raffaele Perego, Claudio Lucchese, Chiara Renso, Fabrizio Silvestri, José Antônio Fernandes de Macêdo, Nicola Tonellotto, Salvatore Orlando, Rossano Venturini, Cristina Ioana Muntean and Ranieri Baraglia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Franco Maria Nardini

83 papers receiving 933 citations

Peers

Franco Maria Nardini

CVPR

TRANS

Panagiotis Symeonidis Greece

Xiang Ao China

YoungOk Kwon United States

Meili Tang China

Zhixu Li China

Massimo Quadrana Italy

Omar Alonso United States

Binbin Hu China

Dwi H. Widyantoro Indonesia

Ron Bekkerman United States

Panagiotis Symeonidis Greece

Franco Maria Nardini

853 ×1.6

1.1k ×3.0

344 ×1.5

CVPR

181 ×1.0

155 ×1.2

TRANS

Citations per year, relative to Franco Maria Nardini Franco Maria Nardini (= 1×) peers Panagiotis Symeonidis

Countries citing papers authored by Franco Maria Nardini

Since Specialization

Citations

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

Fields of papers citing papers by Franco Maria Nardini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franco Maria Nardini. 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 Franco Maria Nardini. The network helps show where Franco Maria Nardini may publish in the future.

Co-authorship network of co-authors of Franco Maria Nardini

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

All Works

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20 of 20 papers shown

Bruch, Sebastian, Maik Fröbe, Thomas Hagen, Franco Maria Nardini, & Martin Potthast. (2025). ReNeuIR at SIGIR 2025: The Fourth Workshop on Reaching Efficiency in Neural Information Retrieval. ISTI Open Portal. 4153–4156. 1 indexed citations

Nardini, Franco Maria, et al.. (2025). ChatGPT Versus Modest Large Language Models: An Extensive Study on Benefits and Drawbacks for Conversational Search. IEEE Access. 13. 15253–15271.

Lucchese, Claudio, et al.. (2025). Efficient Re-ranking with Cross-encoders via Early Exit. ISTI Open Portal. 2534–2544.

Bruch, Sebastian, Franco Maria Nardini, Amir Ingber, & Edo Liberty. (2024). Bridging Dense and Sparse Maximum Inner Product Search. ACM Transactions on Information Systems. 42(6). 1–38. 1 indexed citations

Bruch, Sebastian, Claudio Lucchese, Maria Maistro, & Franco Maria Nardini. (2024). Special Section on Efficiency in Neural Information Retrieval. ACM Transactions on Information Systems. 42(5). 1–4.

Fröbe, Maik, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, & Martin Potthast. (2024). ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. ISTI Open Portal. 3051–3054. 1 indexed citations

Nardini, Franco Maria, et al.. (2023). An Optimal Algorithm for Finding Champions in Tournament Graphs. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10197–10209. 2 indexed citations

Lucchese, Claudio, et al.. (2023). Early Exit Strategies for Learning-to-Rank Cascades. IEEE Access. 11. 126691–126704. 2 indexed citations

Anelli, Vito Walter, et al.. (2023). Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. ISTI Open Portal. 2013–2023. 4 indexed citations

10.

Bruch, Sebastian, Franco Maria Nardini, Amir Ingber, & Edo Liberty. (2023). An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. ACM Transactions on Information Systems. 42(2). 1–43. 2 indexed citations

11.

Bruch, Sebastian, Joel Mackenzie, Maria Maistro, & Franco Maria Nardini. (2023). ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval. Research at the University of Copenhagen (University of Copenhagen). 3456–3459. 4 indexed citations

12.

Lucchese, Claudio, et al.. (2023). Can Embeddings Analysis Explain Large Language Model Ranking?. ARCA (Università Ca' Foscari Venezia). 4150–4154. 3 indexed citations

13.

Gil-Costa, Verónica, et al.. (2021). Efficient traversal of decision tree ensembles with FPGAs. Journal of Parallel and Distributed Computing. 155. 38–49. 3 indexed citations

14.

Nardini, Franco Maria, et al.. (2021). Fast Filtering of Search Results Sorted by Attribute. ACM Transactions on Information Systems. 40(2). 1–24. 1 indexed citations

15.

Lucchese, Claudio, et al.. (2020). Query-level Early Exit for Additive Learning-to-Rank Ensembles. ISTI Open Portal. 3 indexed citations

16.

Lucchese, Claudio, Franco Maria Nardini, Salvatore Orlando, et al.. (2018). Parallel Traversal of Large Ensembles of Decision Trees. IEEE Transactions on Parallel and Distributed Systems. 30(9). 2075–2089. 16 indexed citations

17.

Lucchese, Claudio, Franco Maria Nardini, Salvatore Orlando, et al.. (2018). Parallel Traversal of Large Ensembles of Decision Trees. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

18.

Lucchese, Claudio, et al.. (2017). The Impact of Negative Samples on Learning to Rank.. ARCA (Università Ca' Foscari Venezia). 3 indexed citations

19.

Coletto, Mauro, Andrea Esuli, Claudio Lucchese, et al.. (2017). Perception of social phenomena through the multidimensional analysis of online social networks. ISTI Open Portal. 1. 14–32. 17 indexed citations

20.

Lucchese, Claudio, et al.. (2015). QuickRank: a C++ Suite of Learning to Rank Algorithms. ARCA (Università Ca' Foscari Venezia). 1404. 8 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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