Luqi

148 total papers · 826 total citations
79 papers, 485 citations indexed

About

Luqi is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Luqi has authored 79 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 34 papers in Software and 33 papers in Artificial Intelligence. Recurrent topics in Luqi's work include Advanced Software Engineering Methodologies (30 papers), Software Engineering Research (24 papers) and Model-Driven Software Engineering Techniques (22 papers). Luqi is often cited by papers focused on Advanced Software Engineering Methodologies (30 papers), Software Engineering Research (24 papers) and Model-Driven Software Engineering Techniques (22 papers). Luqi collaborates with scholars based in United States, France and Israel. Luqi's co-authors include Mohammad A. Ketabchi, Valdis Bērziņš, Paul Young, Du Zhang, Jiang Guo, Bernd Krämer, Balasubramaniam Ramesh, John M. McDowell, Nabendu Chaki and Suparna Bhattacharya and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Software Engineering and Computer.

In The Last Decade

Luqi

71 papers receiving 424 citations

Author Peers

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

Author Last Decade Papers Cites
Luqi 252 250 185 80 73 79 485
Kristina Lundqvist 141 0.6× 219 0.9× 244 1.3× 88 1.1× 101 1.4× 77 551
Mikhail Auguston 314 1.2× 315 1.3× 191 1.0× 42 0.5× 220 3.0× 74 518
Nicolas Guelfi 205 0.8× 234 0.9× 125 0.7× 35 0.4× 157 2.2× 72 419
Gerardo Schneider 297 1.2× 111 0.4× 111 0.6× 57 0.7× 78 1.1× 83 480
Ed Seidewitz 249 1.0× 246 1.0× 209 1.1× 29 0.4× 77 1.1× 34 463
Christophe Dony 288 1.1× 280 1.1× 97 0.5× 37 0.5× 153 2.1× 77 500
Adilson Marques da Cunha 165 0.7× 209 0.8× 134 0.7× 26 0.3× 65 0.9× 97 485
Roger Duke 296 1.2× 226 0.9× 261 1.4× 61 0.8× 71 1.0× 40 546
András Pataricza 226 0.9× 224 0.9× 334 1.8× 53 0.7× 130 1.8× 62 506
George Stephanides 130 0.5× 288 1.2× 123 0.7× 27 0.3× 127 1.7× 41 510

Countries citing papers authored by Luqi

Since Specialization
Citations

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

Fields of papers citing papers by Luqi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luqi

This figure shows the co-authorship network connecting the top 25 collaborators of Luqi. A scholar is included among the top collaborators of Luqi 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 Luqi. Luqi 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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