Dimitri Ognibene
- Cognitive Neuroscience top 5%
- Social Psychology top 10%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Giovanni PezzuloThomas H. B. FitzGeraldKarl FristonChristoph MathysFrancesco RigoliYiannis DemirisVincenzo G. FioreXiaosi Gu
- Topics
- Child and Animal Learning Development (6 papers)Neural dynamics and brain function (5 papers)Reinforcement Learning in Robotics (4 papers)
- Partner nations
- United KingdomItalySpain
In The Last Decade
Dimitri Ognibene
34 papers receiving 729 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 470
- Social Psychology 164
- Artificial Intelligence 142
- Experimental and Cognitive Psychology 93
- Computer Vision and Pattern Recognition 69
Countries citing papers authored by Dimitri Ognibene
This map shows the geographic impact of Dimitri Ognibene'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 Dimitri Ognibene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitri Ognibene more than expected).
Fields of papers citing papers by Dimitri Ognibene
This network shows the impact of papers produced by Dimitri Ognibene. 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 Dimitri Ognibene. The network helps show where Dimitri Ognibene may publish in the future.
Co-authorship network of co-authors of Dimitri Ognibene
This figure shows the co-authorship network connecting the top 25 collaborators of Dimitri Ognibene. A scholar is included among the top collaborators of Dimitri Ognibene 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 Dimitri Ognibene. Dimitri Ognibene is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 34 | |
| 8 | 8 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | MB-Courage @ EXIST: GCN Classification for Sexism Identification in Social Networks. | 4 |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 6 | |
| 18 | AUTONOMOUS ACQUISITION OF NATURAL LANGUAGE | 1 |
| 19 | Towards active event recognition | 21 |
| 20 | Integrating reinforcement-learning, accumulator models, and motor-primitives to study action selection and reaching in monkeys | 1 |
About Dimitri Ognibene
Dimitri Ognibene is a scholar working on Cognitive Neuroscience, Health Informatics and Architecture, having authored 38 papers that have together received 754 indexed citations. Recurring topics across this work include Child and Animal Learning Development (6 papers), Neural dynamics and brain function (5 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Cognitive Neuroscience (470 citations), General Decision Sciences (19 citations) and Social Psychology (164 citations). Dimitri Ognibene has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Giovanni Pezzulo, Thomas H. B. FitzGerald, Karl Friston, Christoph Mathys, Francesco Rigoli, Yiannis Demiris, Vincenzo G. Fiore, Xiaosi Gu, Cristina Baldissarri and Eris Chinellato. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and Neural Networks.
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.