Laura Moreno

34 total papers · 2.0k total citations
31 papers, 1.4k citations indexed

About

Laura Moreno is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Laura Moreno has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Information Systems, 10 papers in Artificial Intelligence and 9 papers in Software. Recurrent topics in Laura Moreno's work include Software Engineering Research (21 papers), Advanced Numerical Methods in Computational Mathematics (8 papers) and Web Data Mining and Analysis (6 papers). Laura Moreno is often cited by papers focused on Software Engineering Research (21 papers), Advanced Numerical Methods in Computational Mathematics (8 papers) and Web Data Mining and Analysis (6 papers). Laura Moreno collaborates with scholars based in United States, Spain and Italy. Laura Moreno's co-authors include Andrian Marcus, Jairo Aponte, Gabriele Bavota, Sonia Haiduc, Massimiliano Di Penta, Rocco Oliveto, K. Vijay‐Shanker, Lori Pollock, Giriprasad Sridhara and Mario Linares‐Vásquez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Laura Moreno

31 papers receiving 1.4k citations

Hit Papers

On the Use of Automated T... 2010 2026 2015 2020 2010 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laura Moreno 1.3k 520 500 356 198 31 1.4k
Yan Lei 893 0.7× 273 0.5× 845 1.7× 258 0.7× 141 0.7× 73 1.3k
Tom Tourwé 1.5k 1.2× 795 1.5× 851 1.7× 356 1.0× 122 0.6× 45 1.6k
William E. Howden 940 0.8× 239 0.5× 1.6k 3.2× 224 0.6× 221 1.1× 55 1.9k
Emina Torlak 461 0.4× 611 1.2× 537 1.1× 401 1.1× 222 1.1× 48 1.3k
Claus Lewerentz 739 0.6× 417 0.8× 494 1.0× 246 0.7× 108 0.5× 32 1.1k
Yuanyuan Zhang 860 0.7× 320 0.6× 590 1.2× 373 1.0× 258 1.3× 43 1.3k
Murray Hill 391 0.3× 638 1.2× 384 0.8× 237 0.7× 95 0.5× 14 1.1k
H.E. Dunsmore 1.1k 0.8× 279 0.5× 771 1.5× 176 0.5× 34 0.2× 23 1.2k
Miltiadis Allamanis 894 0.7× 492 0.9× 421 0.8× 179 0.5× 225 1.1× 30 1.1k
Ira D. Baxter 1.3k 1.0× 488 0.9× 872 1.7× 253 0.7× 454 2.3× 33 1.4k

Countries citing papers authored by Laura Moreno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Laura Moreno

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

All Works

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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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