Francis Ferraro

1.2k total citations
40 papers, 383 citations indexed

About

Francis Ferraro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Francis Ferraro has authored 40 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Francis Ferraro's work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (10 papers). Francis Ferraro is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (10 papers). Francis Ferraro collaborates with scholars based in United States, United Kingdom and Belgium. Francis Ferraro's co-authors include Tim Finin, Benjamin Van Durme, Rachel Rudinger, Pushpendre Rastogi, Ting-Hao Huang, Dhruv Batra, C. Lawrence Zitnick, Michel Galley, Lucy Vanderwende and Pushmeet Kohli and has published in prestigious journals such as Optica, Transactions of the Association for Computational Linguistics and Journal of Web Semantics.

In The Last Decade

Francis Ferraro

33 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francis Ferraro United States	9	262	145	68	35	23	40	383
Leo Gao Canada	4	359 1.4×	68 0.5×	94 1.4×	27 0.8×	21 0.9×	4	469
Luu Anh Tuan Singapore	12	432 1.6×	68 0.5×	93 1.4×	15 0.4×	25 1.1×	31	497
Nima Asadi United States	9	215 0.8×	84 0.6×	129 1.9×	58 1.7×	60 2.6×	22	357
Wenpeng Hu China	12	390 1.5×	125 0.9×	56 0.8×	12 0.3×	7 0.3×	27	438
Wangchunshu Zhou China	14	382 1.5×	174 1.2×	29 0.4×	11 0.3×	16 0.7×	37	476
Yanhong Wu Hong Kong	8	102 0.4×	156 1.1×	21 0.3×	17 0.5×	23 1.0×	10	243
Aleksandr Drozd Japan	11	378 1.4×	55 0.4×	49 0.7×	38 1.1×	19 0.8×	28	477
David Martins de Matos Portugal	13	323 1.2×	89 0.6×	101 1.5×	25 0.7×	79 3.4×	58	449
Hao Fu China	9	164 0.6×	56 0.4×	144 2.1×	56 1.6×	28 1.2×	11	278

Countries citing papers authored by Francis Ferraro

Since Specialization

Citations

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

Fields of papers citing papers by Francis Ferraro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Ferraro

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

Missinne, Jeroen, Junwen He, Guy Lepage, et al.. (2025). Low-loss integration of high-density polymer waveguides with silicon photonics for co-packaged optics. Optica. 12(6). 821–821. 3 indexed citations

Raff, Edward, et al.. (2024). WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions. Maryland Shared Open Access Repository (USMAI Consortium). 364–388.

Lukin, Stephanie M., et al.. (2024). MUMOSA, Interactive Dashboard for MUlti-MOdal Situation Awareness. 32–47.

Lu, Fred, et al.. (2024). High-Dimensional Distributed Sparse Classification with Scalable Communication-Efficient Global Updates. arXiv (Cornell University). 2037–2047. 1 indexed citations

Ferraro, Francis, et al.. (2024). Enhancing Knowledge Graph Consistency through Open Large Language Models: A Case Study. Proceedings of the AAAI Symposium Series. 3(1). 203–208. 1 indexed citations

Ferraro, Francis, et al.. (2024). GPT-4 as a Moral Reasoner for Robot Command Rejection. 54–63.

Ferraro, Francis, et al.. (2023). PASTA: A Dataset for Modeling PArticipant STAtes in Narratives. Transactions of the Association for Computational Linguistics. 11. 1283–1300.

Verheyen, Peter, Roger Loo, Francis Ferraro, et al.. (2023). Low dark current and high responsivity Si-contacted Ge-on-Si avalanche photodetectors in a 300-mm Si photonics platform. IET conference proceedings.. 2023(34). 1178–1181. 1 indexed citations

Ferraro, Francis, et al.. (2022). Jointly Identifying and Fixing Inconsistent Readings from Information Extraction Systems. Maryland Shared Open Access Repository (USMAI Consortium). 42–52. 1 indexed citations

10.

Ferraro, Francis, et al.. (2020). CASIE: Extracting Cybersecurity Event Information from Text. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8749–8757. 62 indexed citations

11.

Ferraro, Francis, et al.. (2020). A Discrete Variational Recurrent Topic Model without the Reparametrization Trick. Maryland Shared Open Access Repository (USMAI Consortium). 33. 13831–13843. 1 indexed citations

12.

Kalpakis, Konstantinos, et al.. (2020). Reflections on: Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization. Maryland Shared Open Access Repository (USMAI Consortium). 2576.

13.

Matuszek, Cynthia, et al.. (2019). ¿Es un platano? Exploring the Application of a Physically Grounded Language Acquisition System to Spanish. Maryland Shared Open Access Repository (USMAI Consortium). 7–17. 2 indexed citations

14.

Ferraro, Francis, et al.. (2018). Optimal Semantic Distance for Negative Example Selection in Grounded Language Acquisition. Maryland Shared Open Access Repository (USMAI Consortium). 2 indexed citations

15.

Huang, Ting-Hao, Francis Ferraro, Nasrin Mostafazadeh, et al.. (2016). Visual Storytelling. 1233–1239. 138 indexed citations

16.

Ferraro, Francis, Nasrin Mostafazadeh, Ting-Hao Huang, et al.. (2015). On Available Corpora for Empirical Methods in Vision & Language.. arXiv (Cornell University). 1 indexed citations

17.

Rudinger, Rachel, Pushpendre Rastogi, Francis Ferraro, & Benjamin Van Durme. (2015). Script Induction as Language Modeling. 1681–1686. 59 indexed citations

18.

Ferraro, Francis, et al.. (2015). Topic Identification and Discovery on Text and Speech. 2377–2387. 6 indexed citations

19.

Ferraro, Francis, et al.. (2013). Nerit: Named Entity Recognition for Informal Text. 10 indexed citations

20.

Ferraro, Francis, Matt Post, & Benjamin Van Durme. (2012). Judging Grammaticality with Count-Induced Tree Substitution Grammars. 116–121. 3 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