Maria Vasardani

73 total papers · 1.0k total citations
50 papers, 589 citations indexed

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 50 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geography, Planning and Development, 19 papers in Signal Processing and 15 papers in Artificial Intelligence. Recurrent topics in Maria Vasardani's work include Geographic Information Systems Studies (29 papers), Data Management and Algorithms (19 papers) and Human Mobility and Location-Based Analysis (11 papers). Maria Vasardani is often cited by papers focused on Geographic Information Systems Studies (29 papers), Data Management and Algorithms (19 papers) and Human Mobility and Location-Based Analysis (11 papers). Maria Vasardani collaborates with scholars based in Australia, United States and Sweden. Maria Vasardani's co-authors include Stephan Winter, Kai‐Florian Richter, Martin Tomko, Fei Liu, Timothy Baldwin, Kourosh Khoshelham, Mohsen Kalantari, Timothy Baldwin, Bharat Lohani and Michael Gould and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Communications of the ACM.

In The Last Decade

Maria Vasardani

47 papers receiving 567 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maria Vasardani 273 186 157 121 77 50 589
Judith Gelernter 198 0.7× 99 0.5× 180 1.1× 107 0.9× 50 0.6× 27 578
Christoph Schlieder 115 0.4× 77 0.4× 185 1.2× 71 0.6× 96 1.2× 61 631
Xuke Hu 85 0.3× 91 0.5× 93 0.6× 129 1.1× 28 0.4× 28 673
Yukiko Kawai 52 0.2× 56 0.3× 138 0.9× 109 0.9× 17 0.2× 105 530
Hansi Senaratne 258 0.9× 166 0.9× 117 0.7× 177 1.5× 9 0.1× 17 653
Zhipeng Gui 149 0.5× 148 0.8× 142 0.9× 116 1.0× 12 0.2× 71 685
Imad Afyouni 47 0.2× 86 0.5× 152 1.0× 56 0.5× 17 0.2× 43 540
Simon Scheider 238 0.9× 201 1.1× 257 1.6× 133 1.1× 10 0.1× 58 636
Alberto Rosi 50 0.2× 55 0.3× 100 0.6× 162 1.3× 9 0.1× 35 574
Karine Zeitouni 57 0.2× 229 1.2× 109 0.7× 192 1.6× 59 0.8× 70 672

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).

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.

Co-authorship network of co-authors of Maria Vasardani

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

All Works

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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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