Enrico Santus

2.1k citations
74 papers · 884 indexed · h-index 17

Enrico Santus

73 papers receiving 820 citations

Peers

Enrico Santus
Comparison fields: 5 of 114
  • Health Informatics 24
  • Artificial Intelligence 464
  • Agronomy and Crop Science 119
  • Animal Science and Zoology 109
  • Genetics 192
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Countries citing papers authored by Enrico Santus

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Santus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Enrico Santus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Enrico Santus Line = papers co-authored together Enrico Santus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202317
2 20237
3 20225
4 202213
5 20218
6 202115
7 202030
8 202013
9
Are word embeddings really a bad fit for the estimation of thematic fit
20202
10
Unsupervised Text Style Transfer via Iterative Matching and Translation.
20195
11 201842
12
EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs.
20161
13
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations
201614
14
Taking Antonymy Mask off in Vector Space
201413
15
Intergenomics: business rules and transition into services
20112
16
Milkability and temperament MACE correlation and pilot study results in dairy cattle populations
20075
17
Milkability genetic evaluation in Brown Swiss: An international approach
20052
18
Calf's suckling ability in Italian Brown Swiss
20053
19
Genetic evaluation of longevity in Italian Brown cattle breed
19997
20
Effect of standardization of within country-year sire variance of de-regressed proofs on international evaluations
19975

About Enrico Santus

Enrico Santus is a scholar working on Health Informatics, Agronomy and Crop Science and Artificial Intelligence, having authored 74 papers that have together received 884 indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (24 papers), Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Biomedical Text Mining and Ontologies (10 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Effects of Environmental Stressors on Livestock (6 papers) and Neurobiology of Language and Bilingualism (5 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (464 citations) and Agronomy and Crop Science (119 citations). Enrico Santus has collaborated with scholars based in Italy, United States and Hong Kong. Frequent co-authors include Alessandro Lenci, Emmanuele Chersoni, Chu‐Ren Huang, Qin Lu, Vered Shwartz, Sabine Schulte im Walde, A. Bagnato, A. Rossoni, Dominik Schlechtweg and Zhijing Jin. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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