Stanislao Lauria
- Artificial Intelligence top 2%
- Control and Systems Engineering top 5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Co-authors
- Theocharis KyriacouGuido BugmannTheodora KoulouriZidong WangXiaohui LiuRobert D. MacredieEwan KleinWeibo Liu
- Topics
- Speech and dialogue systems (5 papers)AI-based Problem Solving and Planning (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsNeurocomputingKnowledge-Based Systems
- Partner nations
- United KingdomChinaSweden
In The Last Decade
Stanislao Lauria
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 485
- Control and Systems Engineering 279
- Computer Networks and Communications 219
- Computer Vision and Pattern Recognition 213
- Social Psychology 117
Countries citing papers authored by Stanislao Lauria
This map shows the geographic impact of Stanislao Lauria'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 Stanislao Lauria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislao Lauria more than expected).
Fields of papers citing papers by Stanislao Lauria
This network shows the impact of papers produced by Stanislao Lauria. 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 Stanislao Lauria. The network helps show where Stanislao Lauria may publish in the future.
Co-authorship network of co-authors of Stanislao Lauria
This figure shows the co-authorship network connecting the top 25 collaborators of Stanislao Lauria. A scholar is included among the top collaborators of Stanislao Lauria 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 Stanislao Lauria. Stanislao Lauria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 67 | |
| 4 | 22 | |
| 5 | 42 | |
| 6 | 34 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 64 | |
| 11 | 28 | |
| 12 | 105 | |
| 13 | 10 | |
| 14 | Instruction Based Learning: how to instruct a personal robot to find HAL. | 11 |
| 15 | 30 | |
| 16 | Corpus-Based Robotics: A Route Instruction Example | 30 |
| 17 | 112 | |
| 18 | 11 | |
| 19 | 30 | |
| 20 | Time complexity analysis of the stochastic diffusion search | 19 |
About Stanislao Lauria
Stanislao Lauria is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and dialogue systems (5 papers), AI-based Problem Solving and Planning (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Science Applications (105 citations), Artificial Intelligence (485 citations) and Control and Systems Engineering (279 citations). Stanislao Lauria has collaborated with scholars based in United Kingdom, China and Sweden. Frequent co-authors include Theocharis Kyriacou, Guido Bugmann, Theodora Koulouri, Zidong Wang, Xiaohui Liu, Robert D. Macredie, Ewan Klein, Weibo Liu, Jian‐an Fang and Xiaohui Liu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Knowledge-Based Systems.
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.