Jose L. Part

About

Jose L. Part is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Jose L. Part has authored 5 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Social Psychology. Recurrent topics in Jose L. Part’s work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Logic, Reasoning, and Knowledge (1 paper). Jose L. Part is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Logic, Reasoning, and Knowledge (1 paper). Jose L. Part collaborates with scholars based in United Kingdom, Italy and United States. Jose L. Part's co-authors include Christopher Kanan, Stefan Wermter, Ronald Kemker, German I. Parisi, Oliver Lemon, Daniele Nardi, Andrea Vanzo, Ioannis Papaioannou, Amanda Cercas Curry and Ondřej Dušek and has published in prestigious journals such as Neural Networks, arXiv (Cornell University) and Edinburgh Napier Research Repository (Edinburgh Napier University).

In The Last Decade

Co-authorship network of co-authors of Jose L. Part i

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Fields of papers citing papers by Jose L. Part

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose L. Part. 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 Jose L. Part. The network helps show where Jose L. Part may publish in the future.

Countries citing papers authored by Jose L. Part

Since Specialization

Citations

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