Maria Vasardani

1.0k total citations
50 papers, 592 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 592 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, Timothy Baldwin, Mohsen Kalantari, Bharat Lohani and Egemen Tanin 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 570 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Vasardani Australia 14 274 186 157 122 78 50 592
Hansi Senaratne Germany 6 258 0.9× 166 0.9× 117 0.7× 177 1.5× 9 0.1× 17 655
Judith Gelernter United States 10 194 0.7× 95 0.5× 177 1.1× 107 0.9× 50 0.6× 27 576
Cláudio de Souza Baptista Brazil 10 78 0.3× 136 0.7× 134 0.9× 70 0.6× 13 0.2× 88 404
Aidan Slingsby United Kingdom 19 352 1.3× 333 1.8× 175 1.1× 292 2.4× 34 0.4× 70 1.2k
Tumasch Reichenbacher Switzerland 11 188 0.7× 82 0.4× 29 0.2× 65 0.5× 107 1.4× 34 335
Mikael Jern Sweden 13 223 0.8× 255 1.4× 185 1.2× 69 0.6× 18 0.2× 56 891
Peter Gatalsky Germany 8 194 0.7× 187 1.0× 66 0.4× 96 0.8× 17 0.2× 10 542
Sohaib Ghani United States 13 79 0.3× 146 0.8× 114 0.7× 36 0.3× 14 0.2× 26 507
Jorge Poco Brazil 13 66 0.2× 206 1.1× 181 1.2× 237 1.9× 47 0.6× 44 944
Angela Schwering Germany 10 264 1.0× 117 0.6× 154 1.0× 48 0.4× 215 2.8× 45 522

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

20 of 20 papers shown
1.
Duckham, Matt, et al.. (2024). Probabilistic qualitative spatial reasoning with applications to GeoQA. International Journal of Geographical Information Systems. 39(4). 817–846. 1 indexed citations
2.
Duckham, Matt, et al.. (2023). Qualitative spatial reasoning with uncertain evidence using Markov logic networks. International Journal of Geographical Information Systems. 37(9). 2067–2100. 3 indexed citations
3.
Li, Haonan, Martin Tomko, Maria Vasardani, & Timothy Baldwin. (2022). MultiSpanQA: A Dataset for Multi-Span Question Answering. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1250–1260. 15 indexed citations
4.
Wang, Minghan, et al.. (2019). UniMelb at SemEval-2019 Task 12: Multi-model combination for toponym resolution. 1313–1318. 8 indexed citations
5.
Vasardani, Maria, et al.. (2019). Pedestrian's risk-based negotiation model for self-driving vehicles to get the right of way. Accident Analysis & Prevention. 124. 163–173. 25 indexed citations
6.
Vasardani, Maria, et al.. (2019). Smartphone Usability for Emergency Evacuation Applications (Short Paper). DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations
7.
Vasardani, Maria, et al.. (2018). Early Detection of Herding Behaviour during Emergency Evacuations. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 2 indexed citations
8.
Hua, Hongbo, et al.. (2018). Deriving place graphs from spatial databases. RMIT Research Repository (RMIT University Library). 2087. 25–32.
9.
Lim, Kwan Hui, Eunah Lee, Dave Kendal, et al.. (2018). The Grass is Greener on the Other Side. UTAS Research Repository. 275–282. 24 indexed citations
10.
Vasardani, Maria, Lesley Stirling, & Stephan Winter. (2017). The preposition at from a spatial language, cognition, and information systems perspective. Semantics and Pragmatics. 10(3). 1–41. 7 indexed citations
11.
Vasardani, Maria, et al.. (2016). Introducing a framework for automatically differentiating witness accounts of events from social media. RMIT Research Repository (RMIT University Library). 1570. 2 indexed citations
12.
Vasardani, Maria, et al.. (2016). Landmark Extraction from Web-Harvested Place Descriptions. KI - Künstliche Intelligenz. 31(2). 151–159. 8 indexed citations
13.
Vasardani, Maria, et al.. (2016). Similarity matching for integrating spatial information extracted from place descriptions. International Journal of Geographical Information Systems. 31(1). 56–80. 59 indexed citations
14.
Nittel, Silvia, Keith Clarke, Michael Gould, et al.. (2015). Emerging Technological Trends likely to Affect GIScience in the Next 20 Years. VBN Forskningsportal (Aalborg Universitet). 5 indexed citations
15.
Vasardani, Maria, et al.. (2015). Maintaining Relational Consistency in a Graph-Based Place Database. CEUR Workshop Proceedings. 1323. 1 indexed citations
16.
Vasardani, Maria, et al.. (2015). From descriptions to depictions: A dynamic sketch map drawing strategy. Spatial Cognition and Computation. 16(1). 29–53. 14 indexed citations
17.
Vasardani, Maria, et al.. (2014). Getting Lost in Cities: Spatial Patterns of Phonetically Confusing Street Names. Transactions in GIS. 19(4). 535–562.
18.
Liu, Fei, Maria Vasardani, & Timothy Baldwin. (2014). Automatic Identification of Locative Expressions from Social Media Text. 9–16. 35 indexed citations
19.
Vasardani, Maria, et al.. (2013). Extracting Spatial Information From Place Descriptions. 62. 25 indexed citations
20.
Winter, Stephan, Krzysztof Janowicz, Kai‐Florian Richter, & Maria Vasardani. (2012). Knowledge acquisition about places. 4(3). 20–21. 2 indexed citations

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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