Alexander Nareyek
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Developmental and Educational Psychology
- Sociology and Political Science
- Co-authors
- Austin TateJussi RintanenRobert FourerRobert P. GoldmanHenry KautzEugene C. FreuderEnrico GiunchigliaAmit Kumar
- Topics
- AI-based Problem Solving and Planning (7 papers)Constraint Satisfaction and Optimization (6 papers)Logic, Reasoning, and Knowledge (4 papers)
- Partner nations
- SingaporeUnited StatesItaly
In The Last Decade
Alexander Nareyek
13 papers receiving 169 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 156
- Computer Networks and Communications 47
- Computer Vision and Pattern Recognition 34
- Developmental and Educational Psychology 23
- Sociology and Political Science 22
Countries citing papers authored by Alexander Nareyek
This map shows the geographic impact of Alexander Nareyek'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 Alexander Nareyek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Nareyek more than expected).
Fields of papers citing papers by Alexander Nareyek
This network shows the impact of papers produced by Alexander Nareyek. 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 Alexander Nareyek. The network helps show where Alexander Nareyek may publish in the future.
Co-authorship network of co-authors of Alexander Nareyek
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Nareyek. A scholar is included among the top collaborators of Alexander Nareyek 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 Alexander Nareyek. Alexander Nareyek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Scalable Local Search on Multicore Computers | 3 |
| 3 | 0 | |
| 4 | 22 | |
| 5 | An XML-based Forward-Compatible Framework for Planning System Extensions and Domain Problem Specification | 1 |
| 6 | 42 | |
| 7 | Computer Games - Boon or Bane for AI Research? | 10 |
| 8 | 67 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | Beyond the Plan-Length Criterion | 3 |
| 12 | 14 | |
| 13 | Open World Planning as SCSP | 6 |
| 14 | 11 |
About Alexander Nareyek
Alexander Nareyek is a scholar working on Software, Artificial Intelligence and Computer Networks and Communications, having authored 14 papers that have together received 198 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (7 papers), Constraint Satisfaction and Optimization (6 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Artificial Intelligence (156 citations), Software (15 citations) and Computer Networks and Communications (47 citations). Alexander Nareyek has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Austin Tate, Jussi Rintanen, Robert Fourer, Robert P. Goldman, Henry Kautz, Eugene C. Freuder, Enrico Giunchiglia, Amit Kumar, Edson Vidal and Haiqing Wang. Their work appears in journals such as PLoS ONE, IEEE Intelligent Systems and Lecture notes in computer 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.