Laura Toma

10 papers and 150 indexed citations i.

About

Laura Toma is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Laura Toma has authored 10 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 6 papers in Computer Graphics and Computer-Aided Design and 3 papers in Artificial Intelligence. Recurrent topics in Laura Toma’s work include Data Management and Algorithms (6 papers), Computational Geometry and Mesh Generation (5 papers) and Algorithms and Data Compression (3 papers). Laura Toma is often cited by papers focused on Data Management and Algorithms (6 papers), Computational Geometry and Mesh Generation (5 papers) and Algorithms and Data Compression (3 papers). Laura Toma collaborates with scholars based in United States, The Netherlands and Germany. Laura Toma's co-authors include Lars Arge, Jeffrey Scott Vitter, Herman Haverkort, Yi Zhuang, Dean L. Urban, Jeffrey S. Chase, Patrick N. Halpin, Rajiv Wickremesinghe, Gerth Stølting Brodal and Ulrich Meyer and has published in prestigious journals such as Journal of Algorithms, GeoInformatica and Computational Geometry.

In The Last Decade

Co-authorship network of co-authors of Laura Toma i

Fields of papers citing papers by Laura Toma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Toma

Since Specialization
Citations

This map shows the geographic impact of Laura Toma'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 Laura Toma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Toma 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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2025