Andrei Paleyes
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Management Information Systems
- Management Science and Operations Research
- Co-authors
- Neil D. LawrenceRaoul-Gabriel UrmaJavier GonzálezAki VehtariChristian CabreraTom DietheBorja BalleBernhard Schölkopf
- Topics
- Software Engineering Research (3 papers)Software System Performance and Reliability (3 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysRoyal Society Open Science
- Partner nations
- United KingdomGermanyFinland
In The Last Decade
Andrei Paleyes
8 papers receiving 289 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 140
- Information Systems 54
- Computer Networks and Communications 49
- Management Information Systems 31
- Management Science and Operations Research 26
Countries citing papers authored by Andrei Paleyes
This map shows the geographic impact of Andrei Paleyes'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 Andrei Paleyes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Paleyes more than expected).
Fields of papers citing papers by Andrei Paleyes
This network shows the impact of papers produced by Andrei Paleyes. 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 Andrei Paleyes. The network helps show where Andrei Paleyes may publish in the future.
Co-authorship network of co-authors of Andrei Paleyes
This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Paleyes. A scholar is included among the top collaborators of Andrei Paleyes 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 Andrei Paleyes. Andrei Paleyes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | Challenges in Deploying Machine Learning: A Survey of Case Studiesbreakdown → | 259 |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 11 |
About Andrei Paleyes
Andrei Paleyes is a scholar working on Information Systems and Management, Software and Information Systems, having authored 10 papers that have together received 303 indexed citations. Recurring topics across this work include Software Engineering Research (3 papers), Software System Performance and Reliability (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (140 citations) and Management Information Systems (31 citations). Andrei Paleyes has collaborated with scholars based in United Kingdom, Germany and Finland. Frequent co-authors include Neil D. Lawrence, Raoul-Gabriel Urma, Javier González, Aki Vehtari, Christian Cabrera, Tom Diethe, Borja Balle, Bernhard Schölkopf, Siyuan Guo and Michael Hutchinson. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Royal Society Open Science.
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.