Anna Corazza

1.0k citations
70 papers · 817 · h-index 16

Impact in

  • Software top 2%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Software Engineering Techniques and Practices

Papers in

Anna Corazza

65 papers receiving 755 citations

Peers

Anna Corazza
Comparison fields: 5 of 70
  • Software 284
  • Information Systems 490
  • Artificial Intelligence 449
  • Computer Networks and Communications 155
  • Signal Processing 60
Replace Marcos Didonet Del Fabro with:
Marcos Didonet Del Fabro Brazil
Markus Pizka Germany
P.S. Yu United States
Rajeev R. Raje United States
Toufique Ahmed United States
Maria João Varanda Pereira Portugal
A. J. Riel United States
Neil Goldman United States
Scott N. Woodfield United States
Marc Rochkind United States
Anna Corazza relative to Marcos Didonet Del Fabro Brazil Marcos Didonet Del Fabro's profile →
Citations per field
00.5×2.9×
Marcos Didonet Del Fabro · 1×
Citations per year

Countries citing papers authored by Anna Corazza

Since Specialization
Citations

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

Fields of papers citing papers by Anna Corazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Corazza, 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 Anna Corazza Line = papers co-authored together Anna Corazza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201179
2 201170
3 201052
4 201251
5 201050
6 201041
7 201641
8 199132
9 201629
10 201527
11 201620
12 201020
13 201518
14 201817
15 200917
16 200816
17
Stochastic Context-Free Grammars for Island-Driven Probabilistic Parsing
199113
18 201612
19 201112
20 201611

About Anna Corazza

Anna Corazza is a scholar working on Artificial Intelligence, Information Systems, Software, Molecular Biology and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 817 indexed citations. Recurring topics across this work include Software Engineering Research (25 papers), Natural Language Processing Techniques (22 papers), Topic Modeling (18 papers), Software Reliability and Analysis Research (15 papers), Speech and dialogue systems (13 papers), Software Testing and Debugging Techniques (9 papers), Semantic Web and Ontologies (8 papers) and Biomedical Text Mining and Ontologies (8 papers). The work is most often cited by research in Software (284 citations), Information Systems (490 citations), Artificial Intelligence (449 citations), Computer Networks and Communications (155 citations) and Signal Processing (60 citations). Anna Corazza has collaborated with scholars based in Italy, Canada and New Zealand. Frequent co-authors include Sergio Di Martino, Giuseppe Scanniello, Valerio Maggio, Filomena Ferrucci, Carmine Gravino, Giorgio Satta, E. Mendes, Federica Sarro, Renato De Mori and Stefano Silvestri. Their work appears in journals such as Empirical Software Engineering, IEEE Transactions on Pattern Analysis and Machine Intelligence, Language Resources and Evaluation, Journal of Systems and Software and Computer Speech & Language.

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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