431 total citations 6 papers, 179 citations indexed
About
Alexander Perekrestenko is a scholar working on Artificial Intelligence, Language and Linguistics and Molecular Biology.
According to data from OpenAlex, Alexander Perekrestenko has authored 6 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Language and Linguistics and 2 papers in Molecular Biology. Recurrent topics in Alexander Perekrestenko's work include Translation Studies and Practices (2 papers), DNA and Biological Computing (2 papers) and Evolutionary Algorithms and Applications (2 papers). Alexander Perekrestenko is often cited by papers focused on Translation Studies and Practices (2 papers), DNA and Biological Computing (2 papers) and Evolutionary Algorithms and Applications (2 papers). Alexander Perekrestenko collaborates with scholars based in Spain and Romania. Alexander Perekrestenko's co-authors include Anthony Pym, Robert Mercaş and Gemma Bel-Enguix and has published in prestigious journals such as Procesamiento del lenguaje natural and Minerva Access (University of Melbourne).
Citations per year, relative to Alexander Perekrestenko Alexander Perekrestenko (= 1×)
peers
Albrecht Neubert
Countries citing papers authored by Alexander Perekrestenko
Since
Specialization
Citations
This map shows the geographic impact of Alexander Perekrestenko'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 Alexander Perekrestenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Perekrestenko more than expected).
Fields of papers citing papers by Alexander Perekrestenko
This network shows the impact of papers produced by Alexander Perekrestenko. 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 Alexander Perekrestenko. The network helps show where Alexander Perekrestenko may publish in the future.
Co-authorship network of co-authors of Alexander Perekrestenko
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Perekrestenko.
A scholar is included among the top collaborators of Alexander Perekrestenko 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 Alexander Perekrestenko. Alexander Perekrestenko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
6 of 6 papers shown
1.
Bel-Enguix, Gemma, et al.. (2009). Networks of Evolutionary Processors as Natural Parsers.. 619–625.
Pym, Anthony & Alexander Perekrestenko. (2008). Translation Research Projects 1. Minerva Access (University of Melbourne).150 indexed citations
4.
Pym, Anthony, et al.. (2008). Explicitation profile and translator style. 117–130.14 indexed citations
5.
Perekrestenko, Alexander. (2007). A Note on the Complexity of the Recognition Problem for the Minimalist Grammars with Unbounded Scrambling and Barriers. Procesamiento del lenguaje natural. 39(39). 27–34.
6.
Pym, Anthony, et al.. (2006). Translation Technology and its Teaching (with Much Mention of Localization). Minerva Access (University of Melbourne).14 indexed citations
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.