Vadim Tikhanoff

1.4k total citations
40 papers, 856 citations indexed

About

Vadim Tikhanoff is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vadim Tikhanoff has authored 40 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 16 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vadim Tikhanoff's work include Robot Manipulation and Learning (13 papers), Robotic Locomotion and Control (7 papers) and Social Robot Interaction and HRI (7 papers). Vadim Tikhanoff is often cited by papers focused on Robot Manipulation and Learning (13 papers), Robotic Locomotion and Control (7 papers) and Social Robot Interaction and HRI (7 papers). Vadim Tikhanoff collaborates with scholars based in Italy, United Kingdom and United States. Vadim Tikhanoff's co-authors include Giorgio Metta, Lorenzo Natale, Angelo Cangelosi, Ugo Pattacini, Francesco Nori, Paul Fitzpatrick, Tanis Mar, Francesca Ciardo, Agnieszka Wykowska and Kyveli Kompatsiari and has published in prestigious journals such as Scientific Reports, Neural Networks and IEEE Transactions on Robotics.

In The Last Decade

Vadim Tikhanoff

40 papers receiving 825 citations

Peers

Vadim Tikhanoff
Comparison fields: 5 of 78
  • Control and Systems Engineering 331
  • Artificial Intelligence 268
  • Cognitive Neuroscience 237
  • Social Psychology 202
  • Computer Vision and Pattern Recognition 192
Replace Alexander Stoytchev with:
Alexander Stoytchev United States
Ugo Pattacini Italy
Matej Hoffmann Czechia
Emre Uğur Türkiye
Tetsunari Inamura Japan
Eris Chinellato Spain
Paul Fitzpatrick United States
Kai-yuh Hsiao United States
Kazunori Komatani Japan
Olivier Sigaud France
Alexander Stoytchev United States View profile →
Citations per field, relative to Vadim Tikhanoff
Vadim Tikhanoff · 1×
Citations per year, relative to Vadim Tikhanoff
Vadim Tikhanoff · 1×

Countries citing papers authored by Vadim Tikhanoff

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Tikhanoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Tikhanoff

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Tikhanoff. A scholar is included among the top collaborators of Vadim Tikhanoff 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 Vadim Tikhanoff. Vadim Tikhanoff 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 6
2 4
3 68
4 5
5 9
6 51
7 48
8 6
9 14
10 22
11 4
12 21
13 14
14
Cross-situational learning of object-word mapping using Neural Modeling Fields
2
15 2
16 38
17 15
18
Towards language acquisition in autonomous robots.
1
19 115
20 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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