Laura Moreno
- Software top 1%
- Software Reliability and Analysis Research 5
- Software Testing and Debugging Techniques 5
- Information Systems top 0.5%
- Software Engineering Research 21
- Web Data Mining and Analysis 6
- Software Engineering Techniques and Practices 5
- Signal Processing top 5%
- Artificial Intelligence top 2%
- Advanced Software Engineering Methodologies 5
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- Advanced Numerical Methods in Computational Mathematics 8
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- Software System Performance and Reliability 5
- Co-authors
- Andrian MarcusJairo AponteGabriele BavotaSonia HaiducMassimiliano Di PentaRocco OlivetoLori PollockK. Vijay‐Shanker
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Computational Physics (1 paper)Computer Methods in Applied Mechanics and Engineering (4 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Laura Moreno
31 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Software 503
- Information Systems 1.3k
- Computer Science Applications 135
- Signal Processing 201
- Artificial Intelligence 524
Countries citing papers authored by Laura Moreno
This map shows the geographic impact of Laura Moreno'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 Moreno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Moreno more than expected).
Fields of papers citing papers by Laura Moreno
This network shows the impact of papers produced by Laura Moreno. 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 Moreno. The network helps show where Laura Moreno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura Moreno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 21 | |
| 9 | 2017 | 61 | |
| 10 | 2017 | 10 | |
| 11 | 2015 | 71 | |
| 12 | 2015 | 56 | |
| 13 | 2014 | 80 | |
| 14 | 2014 | 74 | |
| 15 | 2014 | 7 | |
| 16 | 2013 | 4 | |
| 17 | 2013 | 41 | |
| 18 | 2012 | 22 | |
| 19 | 2012 | 8 | |
| 20 | On the Use of Automated Text Summarization Techniques for Summarizing Source Codebreakdown → | 2010 | 283 |
About Laura Moreno
Laura Moreno is a scholar working on Software, Information Systems and Fluid Flow and Transfer Processes, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Software Engineering Research (21 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Web Data Mining and Analysis (6 papers), Software Reliability and Analysis Research (5 papers), Software System Performance and Reliability (5 papers), Advanced Software Engineering Methodologies (5 papers), Software Engineering Techniques and Practices (5 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Software (503 citations), Information Systems (1.3k citations) and Computer Science Applications (135 citations). Laura Moreno has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Andrian Marcus, Jairo Aponte, Gabriele Bavota, Sonia Haiduc, Massimiliano Di Penta, Rocco Oliveto, Lori Pollock, K. Vijay‐Shanker, Giriprasad Sridhara and Mario Linares‐Vásquez. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.
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.