Laura Semini

425 total citations
28 papers, 119 citations indexed

About

Laura Semini is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Laura Semini has authored 28 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Information Systems and 7 papers in Computational Theory and Mathematics. Recurrent topics in Laura Semini's work include Advanced Software Engineering Methodologies (11 papers), Software Engineering Research (10 papers) and Logic, Reasoning, and Knowledge (6 papers). Laura Semini is often cited by papers focused on Advanced Software Engineering Methodologies (11 papers), Software Engineering Research (10 papers) and Logic, Reasoning, and Knowledge (6 papers). Laura Semini collaborates with scholars based in Italy, United Kingdom and United States. Laura Semini's co-authors include Stefania Gnesi, Carlo Montangero, Alessandro Fantechi, Davide Bacciu, Antonio Carta, Alessio Ferrari, Stephan Reiff‐Marganiec, Gian-Luigi Ferrari, Mauro Gáspari and Vincenzo Ambriola and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Systems and Software and Science of Computer Programming.

In The Last Decade

Laura Semini

23 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Semini Italy 7 71 52 28 21 20 28 119
Hugo A. López Denmark 7 42 0.6× 23 0.4× 13 0.5× 21 1.0× 9 0.5× 24 94
Brigitte Bartsch-Spörl Netherlands 4 123 1.7× 41 0.8× 12 0.4× 16 0.8× 9 0.5× 8 162
Raimund K. Ege United States 7 60 0.8× 60 1.2× 50 1.8× 7 0.3× 18 0.9× 40 137
Kyung-Goo Doh South Korea 8 97 1.4× 87 1.7× 27 1.0× 22 1.0× 30 1.5× 22 140
Anderson Santana de Oliveira France 9 91 1.3× 134 2.6× 81 2.9× 11 0.5× 7 0.3× 25 193
Guido Wimmel Germany 6 50 0.7× 90 1.7× 31 1.1× 19 0.9× 38 1.9× 10 128
Petra Brosch Austria 7 81 1.1× 105 2.0× 29 1.0× 8 0.4× 103 5.2× 16 154
Agata Półrola Poland 8 99 1.4× 49 0.9× 25 0.9× 110 5.2× 48 2.4× 20 169
Iovka Boneva France 6 74 1.0× 22 0.4× 36 1.3× 13 0.6× 8 0.4× 14 91
Alessandro Lapadula Italy 6 55 0.8× 53 1.0× 23 0.8× 9 0.4× 11 0.6× 9 67

Countries citing papers authored by Laura Semini

Since Specialization
Citations

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

Fields of papers citing papers by Laura Semini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Semini

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

All Works

20 of 20 papers shown
1.
Fantechi, Alessandro, et al.. (2023). Inconsistency Detection in Natural Language Requirements using ChatGPT: a Preliminary Evaluation. CINECA IRIS Institutial research information system (University of Pisa). 335–340. 12 indexed citations
2.
Fantechi, Alessandro, Stefania Gnesi, & Laura Semini. (2022). VIBE: Looking for Variability In amBiguous rEquirements. Journal of Systems and Software. 195. 111540–111540. 2 indexed citations
3.
Fantechi, Alessandro, et al.. (2020). A comparison of NLP Tools for RE to extract Variation Points.. 1 indexed citations
4.
Fantechi, Alessandro, Stefania Gnesi, & Laura Semini. (2019). From Generic Requirements to Variability.. 3 indexed citations
5.
Fantechi, Alessandro, Alessio Ferrari, Stefania Gnesi, & Laura Semini. (2018). Hacking an Ambiguity Detection Tool to Extract Variation Points. CINECA IRIS Institutial research information system (University of Pisa). 43–50. 7 indexed citations
6.
Fantechi, Alessandro, Alessio Ferrari, Stefania Gnesi, & Laura Semini. (2018). Requirement Engineering of Software Product Lines: Extracting Variability Using NLP. CINECA IRIS Institutial research information system (University of Pisa). 418–423. 6 indexed citations
7.
Bacciu, Davide, Antonio Carta, Stefania Gnesi, & Laura Semini. (2016). An experience in using machine learning for short-term predictions in smart transportation systems. Journal of Logical and Algebraic Methods in Programming. 87. 52–66. 17 indexed citations
8.
Bacciu, Davide, Stefania Gnesi, & Laura Semini. (2015). Using a Machine Learning Approach to Implement and Evaluate Product Line Features. SHILAP Revista de lepidopterología. 188. 75–83. 3 indexed citations
9.
Montangero, Carlo, Stephan Reiff‐Marganiec, & Laura Semini. (2008). Logic-based Conflict Detection for Distributed Policies. Figshare. 89(4). 511–538. 2 indexed citations
10.
Montangero, Carlo & Laura Semini. (2008). Barbed Model–Driven Software Development: A Case Study. Electronic Notes in Theoretical Computer Science. 207. 171–186. 1 indexed citations
11.
Montangero, Carlo, Stephan Reiff‐Marganiec, & Laura Semini. (2007). Logic-based detection of conflicts in APPEL policies. 257–271. 6 indexed citations
12.
Ferrari, Gianluigi, et al.. (2003). The Mob-adtl Model and Method to Design Network Aware Applications. UnipiEprints Open Archive (Università di Pisa). 1 indexed citations
13.
Montangero, Carlo & Laura Semini. (2001). Software specification and design: from formal methods to standard middleware. CINECA IRIS Institutial research information system (University of Pisa). 6. 229–240. 1 indexed citations
14.
Montangero, Carlo & Laura Semini. (2000). Specification and Composition of Software Components: Formal Methods meet Standards. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
15.
Montangero, Carlo & Laura Semini. (1999). Composing specifications for coordination. UnipiEprints Open Archive (Università di Pisa). 118–133. 3 indexed citations
16.
Semini, Laura & Carlo Montangero. (1999). A refinement calculus for tuple spaces. Science of Computer Programming. 34(2). 79–140. 5 indexed citations
17.
Montangero, Carlo & Laura Semini. (1996). Refining by architectural styles or architecting by refinements. 76–79. 4 indexed citations
18.
Ambriola, Vincenzo, et al.. (1996). A proposal to merge Multiple Tuple Spaces, Object Orientation, and Logic Programming. Computer Languages. 22(2-3). 79–93. 5 indexed citations
19.
Ambriola, Vincenzo, et al.. (1994). A Proposal to Merge Object Orientation, Logic Programming, and Multiple Tuple Spaces.. International Conference on Lightning Protection. 64–69. 2 indexed citations
20.
Gáspari, Mauro & Laura Semini. (1993). Fairness in Logic Languages based on Shared Dataspace.. International Conference on Lightning Protection. 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.

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