Danilo Croce

2.0k total citations
63 papers, 774 citations indexed

About

Danilo Croce is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Danilo Croce has authored 63 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Danilo Croce's work include Topic Modeling (45 papers), Natural Language Processing Techniques (39 papers) and Speech and dialogue systems (14 papers). Danilo Croce is often cited by papers focused on Topic Modeling (45 papers), Natural Language Processing Techniques (39 papers) and Speech and dialogue systems (14 papers). Danilo Croce collaborates with scholars based in Italy, United States and Germany. Danilo Croce's co-authors include Roberto Basili, Giuseppe Castellucci, Alessandro Moschitti, Simone Filice, Emanuele Bastianelli, Andrea Vanzo, Daniele Nardi, Marco Pennacchiotti, Michael Roth and Giovanni Da San Martino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Artificial Intelligence.

In The Last Decade

Danilo Croce

53 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danilo Croce Italy	16	666	133	111	31	28	63	774
Igor Labutov United States	11	556 0.8×	84 0.6×	121 1.1×	19 0.6×	40 1.4×	26	674
Xuanjing Huang China	11	542 0.8×	78 0.6×	66 0.6×	19 0.6×	35 1.3×	42	622
Varun Manjunatha United States	8	678 1.0×	80 0.6×	242 2.2×	37 1.2×	29 1.0×	18	847
Eric K. Ringger United States	18	712 1.1×	59 0.4×	131 1.2×	28 0.9×	31 1.1×	61	829
Maíra Gatti de Bayser Brazil	6	666 1.0×	161 1.2×	73 0.7×	43 1.4×	26 0.9×	20	806
Abdelmajid Ben Hamadou Tunisia	13	481 0.7×	115 0.9×	157 1.4×	59 1.9×	82 2.9×	95	683
Duncan A. J. Blythe Germany	9	642 1.0×	86 0.6×	62 0.6×	63 2.0×	95 3.4×	14	852
Hao Fei China	23	1.1k 1.7×	93 0.7×	194 1.7×	41 1.3×	98 3.5×	83	1.3k
Somnath Banerjee India	14	473 0.7×	172 1.3×	111 1.0×	44 1.4×	8 0.3×	64	659

Countries citing papers authored by Danilo Croce

Since Specialization

Citations

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

Fields of papers citing papers by Danilo Croce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Croce

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Croce. A scholar is included among the top collaborators of Danilo Croce 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 Danilo Croce. Danilo Croce 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

Croce, Danilo, et al.. (2025). Large language models for sustainability reporting: A systematic review and research agenda. Sustainable Futures. 10. 101494–101494.

Croce, Danilo, Artem Smirnov, Luigi Tiburzi, et al.. (2024). AI-driven transcriptomic encoders: From explainable models to accurate, sample-independent cancer diagnostics. Expert Systems with Applications. 258. 125126–125126.

Tamantini, Christian, et al.. (2023). Integrating Physical and Cognitive Interaction Capabilities in a Robot-Aided Rehabilitation Platform. IEEE Systems Journal. 1–12. 13 indexed citations

Basile, Valerio, et al.. (2020). Lessons Learned from EVALITA 2020 and Thirteen Years of Evaluation of Italian Language Technology. SHILAP Revista de lepidopterología. 6(2). 79–102.

Croce, Danilo, et al.. (2019). Large scale datasets for Image and Video Captioning in Italian. SHILAP Revista de lepidopterología. 5(2). 49–60. 4 indexed citations

Croce, Danilo, et al.. (2018). Deep Learning for Automatic Image Captioning in Poor Training Conditions. SHILAP Revista de lepidopterología. 4(1). 43–55. 4 indexed citations

Filice, Simone, et al.. (2018). KELP: a Kernel-based Learning Platform. Journal of Machine Learning Research. 18(191). 1–5. 26 indexed citations

Vanzo, Andrea, Roberto Basili, Danilo Croce, & Daniele Nardi. (2017). LU4R: Adaptive Spoken Language Understanding for Robots. SHILAP Revista de lepidopterología. 3(1). 59–76. 1 indexed citations

Bastianelli, Emanuele, Danilo Croce, Andrea Vanzo, Roberto Basili, & Daniele Nardi. (2016). A discriminative approach to grounded spoken language understanding in interactive robotics. Cineca Institutional Research Information System (Tor Vergata University). 2747–2753. 19 indexed citations

10.

Castellucci, Giuseppe, Danilo Croce, Andrea Vanzo, & Roberto Basili. (2015). Context-aware Models for Twitter Sentiment Analysis. SHILAP Revista de lepidopterología. 1(1). 75–89. 2 indexed citations

11.

Bastianelli, Emanuele, Giuseppe Castellucci, Danilo Croce, et al.. (2014). HuRIC: a Human Robot Interaction Corpus. Language Resources and Evaluation. 4519–4526. 20 indexed citations

12.

Vanzo, Andrea, Danilo Croce, & Roberto Basili. (2014). A context-based model for Sentiment Analysis in Twitter. Cineca Institutional Research Information System (Tor Vergata University). 2345–2354. 42 indexed citations

13.

Bastianelli, Emanuele, Danilo Croce, Roberto Basili, & Daniele Nardi. (2013). UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling. IRIS Research product catalog (Sapienza University of Rome). 2. 573–579. 11 indexed citations

14.

Castellucci, Giuseppe, Simone Filice, Danilo Croce, & Roberto Basili. (2013). UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis. Joint Conference on Lexical and Computational Semantics. 2. 369–374. 6 indexed citations

15.

Croce, Danilo, et al.. (2013). UNITOR-CORE_TYPED: Combining Text Similarity and Semantic Filters through SV Regression. Joint Conference on Lexical and Computational Semantics. 1. 59–65. 7 indexed citations

16.

Croce, Danilo & Roberto Basili. (2012). Grammatical feature engineering for fine-grained IR tasks. Cineca Institutional Research Information System (Tor Vergata University). 835. 133–143. 4 indexed citations

17.

Croce, Danilo, et al.. (2012). UNITOR: Combining Semantic Text Similarity functions through SV Regression. Joint Conference on Lexical and Computational Semantics. 1. 597–602. 7 indexed citations

18.

Croce, Danilo, Alessandro Moschitti, Roberto Basili, & Martha Palmer. (2012). Verb Classification using Distributional Similarity in Syntactic and Semantic Structures. Institutional Research Information System (Università degli Studi di Trento). 1. 263–272. 10 indexed citations

19.

Croce, Danilo, Alessandro Moschitti, & Roberto Basili. (2011). Structured Lexical Similarity via Convolution Kernels on Dependency Trees. Cineca Institutional Research Information System (Tor Vergata University). 1034–1046. 86 indexed citations

20.

Croce, Danilo, et al.. (2010). Towards Open-Domain Semantic Role Labeling. Cineca Institutional Research Information System (Tor Vergata University). 237–246. 14 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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