Stanislao Lauria

1.7k total citations
37 papers, 1.2k citations indexed

About

Stanislao Lauria is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Stanislao Lauria has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Control and Systems Engineering. Recurrent topics in Stanislao Lauria's work include Speech and dialogue systems (5 papers), AI-based Problem Solving and Planning (4 papers) and Robotics and Sensor-Based Localization (4 papers). Stanislao Lauria is often cited by papers focused on Speech and dialogue systems (5 papers), AI-based Problem Solving and Planning (4 papers) and Robotics and Sensor-Based Localization (4 papers). Stanislao Lauria collaborates with scholars based in United Kingdom, China and Sweden. Stanislao Lauria's 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 and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Stanislao Lauria

37 papers receiving 1.1k citations

Peers

Stanislao Lauria
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
Replace Itsuki Noda with:
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Edward Tunstel United States
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Olivier Pietquin France
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Denis Gračanin United States
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Citations per field, relative to Stanislao Lauria
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Citations per year, relative to Stanislao Lauria
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Countries citing papers authored by Stanislao Lauria

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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