Marco Damonte

483 total citations
13 papers, 190 citations indexed

About

Marco Damonte is a scholar working on Artificial Intelligence, Sociology and Political Science and Philosophy. According to data from OpenAlex, Marco Damonte has authored 13 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Philosophy. Recurrent topics in Marco Damonte's work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (2 papers). Marco Damonte is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Advanced Text Analysis Techniques (2 papers). Marco Damonte collaborates with scholars based in United Kingdom, Italy and United States. Marco Damonte's co-authors include Shay B. Cohen, Giorgio Satta, Fuad Issa, Xiaohui Yan, Yi Chang, Mark Steedman, Saleh Soltan, Amir Saffari, Wael Hamza and Christian Papilloud and has published in prestigious journals such as SHILAP Revista de lepidopterología, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.

In The Last Decade

Marco Damonte

10 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Damonte United Kingdom 6 186 34 16 5 5 13 190
Nikolay Bogoychev United Kingdom 8 124 0.7× 39 1.1× 8 0.5× 8 1.6× 4 0.8× 20 138
Tagyoung Chung United States 9 221 1.2× 38 1.1× 15 0.9× 6 1.2× 5 1.0× 23 237
Miryam de Lhoneux Sweden 7 147 0.8× 23 0.7× 5 0.3× 3 0.6× 4 0.8× 17 161
Khyathi Raghavi Chandu United States 7 110 0.6× 31 0.9× 9 0.6× 3 0.6× 3 0.6× 22 130
Aurélien Max France 9 172 0.9× 15 0.4× 11 0.7× 3 0.6× 7 1.4× 41 176
Claudio Delli Bovi Italy 9 309 1.7× 21 0.6× 22 1.4× 2 0.4× 8 1.6× 14 316
Michele Bevilacqua Italy 8 301 1.6× 54 1.6× 18 1.1× 5 1.0× 12 2.4× 12 314
Daniela Gerz United Kingdom 7 183 1.0× 32 0.9× 5 0.3× 5 1.0× 3 0.6× 8 195
Ai Ti Aw Singapore 8 206 1.1× 27 0.8× 15 0.9× 3 0.6× 5 1.0× 20 217
Shexia He China 9 370 2.0× 70 2.1× 31 1.9× 2 0.4× 5 1.0× 10 381

Countries citing papers authored by Marco Damonte

Since Specialization
Citations

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

Fields of papers citing papers by Marco Damonte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Damonte

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

All Works

13 of 13 papers shown
1.
Damonte, Marco, et al.. (2024). Handling Ontology Gaps in Semantic Parsing. IRIS Research product catalog (Sapienza University of Rome). 345–359.
2.
Damonte, Marco, et al.. (2023). Understanding Disrupted Sentences Using Underspecified Abstract Meaning Representation. 1224–1228. 2 indexed citations
3.
Damonte, Marco, et al.. (2023). Understanding and Answering Incomplete Questions. 1–9. 6 indexed citations
4.
Soltan, Saleh, et al.. (2022). CLASP: Few-Shot Cross-Lingual Data Augmentation for Semantic Parsing. 444–462. 4 indexed citations
5.
Damonte, Marco, et al.. (2020). The Role of Reentrancies in Abstract Meaning Representation Parsing. 2198–2207. 6 indexed citations
6.
Papilloud, Christian, et al.. (2020). Buchbesprechungen | Comptes rendus. SPIRE - Sciences Po Institutional REpository.
7.
Damonte, Marco & Shay B. Cohen. (2019). Structural Neural Encoders for. 3649–3658. 32 indexed citations
8.
Damonte, Marco & Shay B. Cohen. (2018). Cross-Lingual Abstract Meaning Representation Parsing. Edinburgh Research Explorer (University of Edinburgh). 1146–1155. 31 indexed citations
9.
Issa, Fuad, Marco Damonte, Shay B. Cohen, Xiaohui Yan, & Yi Chang. (2018). Abstract Meaning Representation for Paraphrase Detection. Edinburgh Research Explorer. 442–452. 22 indexed citations
10.
Damonte, Marco. (2017). God, the Bible and the Environment. An Historical Excursus on the Relationship between Christian Religion and Ecology. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
11.
Damonte, Marco, Shay B. Cohen, & Giorgio Satta. (2017). An Incremental Parser for Abstract Meaning Representation. 536–546. 85 indexed citations
12.
Damonte, Marco. (2014). Mappare la filosofia contemporanea: il ruolo della Filosofia della Religione. Università degli Studi di Napoli Federico II. 29. 227–250.
13.
Damonte, Marco. (2009). Confrontation Between Civilization, Religions and Professions of Faith. 25. 46–57. 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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