Maria Vasardani
- Geography, Planning and Development top 0.5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Transportation top 5%
- Automotive Engineering top 10%
- Co-authors
- Stephan WinterKai‐Florian RichterMartin TomkoFei LiuTimothy BaldwinKourosh KhoshelhamMohsen KalantariBharat Lohani
- Topics
- Geographic Information Systems Studies (29 papers)Data Management and Algorithms (19 papers)Human Mobility and Location-Based Analysis (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECommunications of the ACM
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Maria Vasardani
47 papers receiving 570 citations
Peers
Comparison fields: 5 of 82
- Geography, Planning and Development 274
- Signal Processing 186
- Artificial Intelligence 157
- Transportation 122
- Automotive Engineering 78
Countries citing papers authored by Maria Vasardani
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | 25 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 24 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | Introducing a framework for automatically differentiating witness accounts of events from social media | 2 |
| 12 | 8 | |
| 13 | 59 | |
| 14 | 6 | |
| 15 | Emerging Technological Trends likely to Affect GIScience in the Next 20 Years | 5 |
| 16 | Maintaining Relational Consistency in a Graph-Based Place Database | 1 |
| 17 | 14 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | Extracting Spatial Information From Place Descriptions | 25 |
About Maria Vasardani
Maria Vasardani is a scholar working on Geography, Planning and Development, Transportation and Signal Processing, having authored 50 papers that have together received 592 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (29 papers), Data Management and Algorithms (19 papers) and Human Mobility and Location-Based Analysis (11 papers). The work is most often cited by research in Geography, Planning and Development (274 citations), Transportation (122 citations) and Signal Processing (186 citations). Maria Vasardani has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Stephan Winter, Kai‐Florian Richter, Martin Tomko, Fei Liu, Timothy Baldwin, Kourosh Khoshelham, Timothy Baldwin, Mohsen Kalantari, Bharat Lohani and Paulo Raposo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Communications of the ACM.
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.