Alex Quilici
- Artificial Intelligence top 1%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Software top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Michael M. GorlickAlexander L. WolfGregory F. JohnsonPeyman OreizyDavid S. RosenblumRichard N. TaylorNenad MedvidovićDavid N. Chin
- Topics
- Software Engineering Research (20 papers)AI-based Problem Solving and Planning (12 papers)Software Testing and Debugging Techniques (12 papers)
- Journals
- Communications of the ACMArtificial Intelligence ReviewUser Modeling and User-Adapted Interaction
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Alex Quilici
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 898
- Information Systems 701
- Computer Networks and Communications 504
- Software 231
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Alex Quilici
This map shows the geographic impact of Alex Quilici'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 Alex Quilici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Quilici more than expected).
Fields of papers citing papers by Alex Quilici
This network shows the impact of papers produced by Alex Quilici. 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 Alex Quilici. The network helps show where Alex Quilici may publish in the future.
Co-authorship network of co-authors of Alex Quilici
This figure shows the co-authorship network connecting the top 25 collaborators of Alex Quilici. A scholar is included among the top collaborators of Alex Quilici 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 Alex Quilici. Alex Quilici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | An architecture-based approach to self-adaptive softwarebreakdown → | 630 |
| 8 | 33 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | Program understanding: A constraint satisfaction modeling framework; understanding as plan recognition | 1 |
| 14 | 26 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | The correction machine: formulating explanations for user misconceptions | 5 |
| 20 | Recognizing and responding to plan-oriented misconceptions | 23 |
About Alex Quilici
Alex Quilici is a scholar working on Software, Information Systems and Computer Science Applications, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (20 papers), AI-based Problem Solving and Planning (12 papers) and Software Testing and Debugging Techniques (12 papers). The work is most often cited by research in Software (231 citations), Information Systems (701 citations) and Artificial Intelligence (898 citations). Alex Quilici has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Michael M. Gorlick, Alexander L. Wolf, Gregory F. Johnson, Peyman Oreizy, David S. Rosenblum, Richard N. Taylor, Nenad Medvidović, David N. Chin, Steven Woods and Karen Spärck Jones. Their work appears in journals such as Communications of the ACM, Artificial Intelligence Review and User Modeling and User-Adapted Interaction.
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.