András Lőrincz

139 papers and 1.3k indexed citations i.

About

András Lőrincz is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, András Lőrincz has authored 139 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 30 papers in Cognitive Neuroscience and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in András Lőrincz’s work include Neural dynamics and brain function (22 papers), Blind Source Separation Techniques (16 papers) and Neural Networks and Applications (13 papers). András Lőrincz is often cited by papers focused on Neural dynamics and brain function (22 papers), Blind Source Separation Techniques (16 papers) and Neural Networks and Applications (13 papers). András Lőrincz collaborates with scholars based in Hungary, United States and Germany. András Lőrincz's co-authors include István Szita, György Buzsáki, Barnabás Póczos, Zoltán Szabó, András Miklós, Csaba Szepesvári, Bjarne Amstrup, D. D. Smith, Moshe Bar and Rufin Vogels and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of András Lőrincz i

Fields of papers citing papers by András Lőrincz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by András Lőrincz

Since Specialization
Citations

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