Pablo Lanillos

1.3k citations
38 papers · 599 · h-index 14

Impact in

Papers in

Pablo Lanillos

35 papers receiving 583 citations

Peers

Pablo Lanillos
Comparison fields: 5 of 91
  • Cognitive Neuroscience 273
  • Human-Computer Interaction 41
  • Computer Vision and Pattern Recognition 145
  • Health Informatics 7
  • Social Psychology 93
Replace Matej Hoffmann with:
Matej Hoffmann Czechia
Olivier Sigaud France
Stefano Nichele Norway
Andrea Soltoggio United Kingdom
Diego R. Faria United Kingdom
Theocharis Kyriacou United Kingdom
María Malfáz Spain
Cheston Tan Singapore
Tomas Kulvičius Germany
Mariacarla Staffa Italy
Pablo Lanillos relative to Matej Hoffmann Czechia Matej Hoffmann's profile →
Citations per field
00.5×3.5×
Matej Hoffmann · 1×
Citations per year

Countries citing papers authored by Pablo Lanillos

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Lanillos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pablo Lanillos, 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 Pablo Lanillos Line = papers co-authored together Pablo Lanillos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 201475
3 201749
4 202135
5 202334
6 201833
7 201231
8 201623
9 201621
10 201418
11 201318
12 202216
13 201516
14 202213
15 202112
16 202111
17 202310
18 201610
19 20179
20 20236

About Pablo Lanillos

Pablo Lanillos is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Social Psychology, Control and Systems Engineering and Computer Networks and Communications, having authored 38 papers that have together received 599 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Embodied and Extended Cognition (10 papers), Robot Manipulation and Learning (7 papers), Action Observation and Synchronization (6 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Optimization and Search Problems (3 papers), Visual Attention and Saliency Detection (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Cognitive Neuroscience (273 citations), Human-Computer Interaction (41 citations), Computer Vision and Pattern Recognition (145 citations), Health Informatics (7 citations) and Social Psychology (93 citations). Pablo Lanillos has collaborated with scholars based in Netherlands, Germany and Spain. Frequent co-authors include Gordon Cheng, Eva Besada-Portas, Gonzalo Pájares, Yuichi Yamashita, Emmanuel Dean‐Leon, Yukie Nagai, Seng Keat Gan, Salah Sukkarieh, José J. Ruz and Jorge Dias. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, Sensors, International Journal of Approximate Reasoning, Information Sciences and Advanced Robotics.

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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