Maria Vasardani

30 papers and 349 indexed citations i.

About

Maria Vasardani is a scholar working on Geography, Planning and Development, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Maria Vasardani has authored 30 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Geography, Planning and Development, 14 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Maria Vasardani’s work include Geographic Information Systems Studies (19 papers), Data Management and Algorithms (14 papers) and Spatial Cognition and Navigation (6 papers). Maria Vasardani is often cited by papers focused on Geographic Information Systems Studies (19 papers), Data Management and Algorithms (14 papers) and Spatial Cognition and Navigation (6 papers). Maria Vasardani collaborates with scholars based in Australia, United States and India. Maria Vasardani's co-authors include Stephan Winter, Kai‐Florian Richter, Martin Tomko, Kourosh Khoshelham, Bharat Lohani, Mohsen Kalantari, Timothy Baldwin, Kwan Hui Lim, Dave Kendal and Lida Rashidi and has published in prestigious journals such as PLoS ONE, Communications of the ACM and ACM Computing Surveys.

In The Last Decade

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

Fields of papers citing papers by Maria Vasardani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Vasardani

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025