Gido M. van de Ven

About

Gido M. van de Ven is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gido M. van de Ven has authored 8 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gido M. van de Ven’s work include Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Memory and Neural Mechanisms (3 papers). Gido M. van de Ven is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Multimodal Machine Learning Applications (3 papers) and Memory and Neural Mechanisms (3 papers). Gido M. van de Ven collaborates with scholars based in United States, United Kingdom and Belgium. Gido M. van de Ven's co-authors include Andreas S. Tolias, Hava T. Siegelmann, David Dupret, Stéphanie Trouche, Colin G. McNamara, Tinne Tuytelaars, Kevin Allen, Alexander Morley, Vítor Lopes‐dos‐Santos and Kate E. Watkins and has published in prestigious journals such as Neuron, Nature Communications and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Gido M. van de Ven i

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Fields of papers citing papers by Gido M. van de Ven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gido M. van de Ven. 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 Gido M. van de Ven. The network helps show where Gido M. van de Ven may publish in the future.

Countries citing papers authored by Gido M. van de Ven

Since Specialization

Citations

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

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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