András Lörincz

132 papers and 1.2k indexed citations
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About

András Lörincz is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, András Lörincz has authored 132 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 30 papers in Cognitive Neuroscience and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in András Lörincz’s work include Neural dynamics and brain function (21 papers), Blind Source Separation Techniques (18 papers) and Neural Networks and Applications (16 papers). András Lörincz is often cited by papers focused on Neural dynamics and brain function (21 papers), Blind Source Separation Techniques (18 papers) and Neural Networks and Applications (16 papers). András Lörincz collaborates with scholars based in Hungary, United States and Denmark. András Lörincz's co-authors include István Szita, György Buzsáki, András Miklós, Zoltán Szabó, Bjarne Amstrup, Csaba Szepesvári, Barnabás Póczos, D. D. Smith, Rufin Vogels and Irving Biederman and has published in prestigious journals such as The Journal of Chemical Physics, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Co-authorship network of co-authors of András Lörincz

This figure shows the co-authorship network connecting the top 25 collaborators of András Lörincz. A scholar is included among the top collaborators of András Lörincz 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 András Lörincz. András Lörincz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by András Lörincz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by András Lörincz

Since Specialization
Citations

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