Alejandro Agostini

602 citations
30 papers · 419 · h-index 10

Impact in

Papers in

Alejandro Agostini

27 papers receiving 400 citations

Peers

Alejandro Agostini
Comparison fields: 5 of 75
  • Control and Systems Engineering 173
  • Computer Vision and Pattern Recognition 113
  • Artificial Intelligence 159
  • Environmental Engineering 56
  • Ecology 62
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Andrei Stoian France
Hülya Yalçın Türkiye
Emre Başeski Denmark
Zoe Falomir Germany
Jens Wawerla Canada
Claudia Isaza Colombia
Rui Qian China
Banafsheh Rekabdar United States
Bernd Lintermann Germany
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Countries citing papers authored by Alejandro Agostini

Since Specialization
Citations

This map shows the geographic impact of Alejandro Agostini'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 Alejandro Agostini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Agostini more than expected).

Fields of papers citing papers by Alejandro Agostini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Agostini. 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 Alejandro Agostini. The network helps show where Alejandro Agostini may publish in the future.

Co-authors

The 25 scholars most cited alongside Alejandro Agostini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alejandro Agostini Line = papers co-authored together Alejandro Agostini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011112
2 201994
3 200859
4 201528
5 200920
6 201715
7 201014
8 201510
9 20239
10 20209
11 20198
12
Action rule induction from cause-effect pairs learned through robot-teacher interaction
20086
13 20156
14 20215
15 20095
16 20144
17
Affordance estimation for vision-based object replacement on a humanoid robot
20162
18 20152
19 20052
20
Fitting response curves for timing follow-ups in mail surveys
19932

About Alejandro Agostini

Alejandro Agostini is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computational Theory and Mathematics, having authored 30 papers that have together received 419 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (12 papers), Reinforcement Learning in Robotics (12 papers), Robot Manipulation and Learning (7 papers), Evolutionary Algorithms and Applications (6 papers), Advanced Bandit Algorithms Research (3 papers), Robotic Path Planning Algorithms (3 papers), Logic, Reasoning, and Knowledge (3 papers) and Action Observation and Synchronization (2 papers). The work is most often cited by research in Control and Systems Engineering (173 citations), Computer Vision and Pattern Recognition (113 citations), Artificial Intelligence (159 citations), Environmental Engineering (56 citations) and Ecology (62 citations). Alejandro Agostini has collaborated with scholars based in Germany, Spain and Austria. Frequent co-authors include Florentin Wörgötter, Norbert Krüger, Carme Torras, Nils Nölke, Christoph Kleinn, Justus Piater, Enric Celaya, Florentin Wörgötter, Bernd Porr and Dirk Kraft. Their work appears in journals such as Artificial Intelligence, Robotics and Autonomous Systems, Neural Computation, IEEE Robotics and Automation Letters and Remote Sensing.

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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