Maria Maleshkova

22 papers and 221 indexed citations i.

About

Maria Maleshkova is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Maria Maleshkova has authored 22 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Maria Maleshkova’s work include Semantic Web and Ontologies (10 papers), QoS-Aware Web Services Composition and Semantic Matching (6 papers) and Data Quality and Management (4 papers). Maria Maleshkova is often cited by papers focused on Semantic Web and Ontologies (10 papers), QoS-Aware Web Services Composition and Semantic Matching (6 papers) and Data Quality and Management (4 papers). Maria Maleshkova collaborates with scholars based in Germany, United States and United Kingdom. Maria Maleshkova's co-authors include Carlos Pedrinaci, John Domingue, Steffen Lohmann, Stefan Seebacher, Jens Lehmann, Kuldeep Singh, Harsh Thakkar, Harald Sack, Maribel Acosta and Philippe Cudré-Mauroux and has published in prestigious journals such as Lecture notes in computer science, International Journal of Computer Assisted Radiology and Surgery and Future Internet.

In The Last Decade

Co-authorship network of co-authors of Maria Maleshkova i

Fields of papers citing papers by Maria Maleshkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Maleshkova

Since Specialization
Citations

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