Urška Demšar

3.7k total citations · 2 hit papers
77 papers, 2.6k citations indexed

About

Urška Demšar is a scholar working on Ecology, Geography, Planning and Development and Transportation. According to data from OpenAlex, Urška Demšar has authored 77 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 20 papers in Geography, Planning and Development and 15 papers in Transportation. Recurrent topics in Urška Demšar's work include Geographic Information Systems Studies (18 papers), Human Mobility and Location-Based Analysis (14 papers) and Data Visualization and Analytics (13 papers). Urška Demšar is often cited by papers focused on Geographic Information Systems Studies (18 papers), Human Mobility and Location-Based Analysis (14 papers) and Data Visualization and Analytics (13 papers). Urška Demšar collaborates with scholars based in United Kingdom, Canada and Ireland. Urška Demšar's co-authors include Kirsi Virrantaus, A. Stewart Fotheringham, Jed Long, Seán McLoone, Patrizia Tenerelli, Sandra Luque, Paul Harris, Chris Brunsdon, M.J. Kraak and Katarzyna Siła-Nowicka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Animal Ecology.

In The Last Decade

Urška Demšar

73 papers receiving 2.5k citations

Hit Papers

Principal Component Analysis on Spatial Data: An Overview 2012 2026 2016 2021 2012 2019 100 200 300

Peers

Urška Demšar
Comparison fields: 5 of 163
  • Global and Planetary Change 614
  • Transportation 600
  • Ecology 493
  • Computer Vision and Pattern Recognition 379
  • Geography, Planning and Development 374
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Citations per field, relative to Urška Demšar
Urška Demšar · 1×
Citations per year, relative to Urška Demšar
Urška Demšar · 1×

Countries citing papers authored by Urška Demšar

Since Specialization
Citations

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

Fields of papers citing papers by Urška Demšar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Urška Demšar

This figure shows the co-authorship network connecting the top 25 collaborators of Urška Demšar. A scholar is included among the top collaborators of Urška Demšar 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 Urška Demšar. Urška Demšar 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
# Work Indexed citations
1 0
2 3
3 15
4 11
5 3
6 6
7 20
8 23
9 28
10 9
11 51
12 4
13
Optimizing the use of biologgers for movement ecology research breakdown →
201
14 12
15 17
16 294
17
A fuzzy multiple-attribute decision making modelling for vulnerability analysis on the basis pf population information
3
18
Data mining of geospatial data: combining visual and automatic methods
10
19
A Visualisation of a Hierarchical Structure in Geographical Metadata
1
20
Exploring geographical metadata by automatic and visual data mining
2

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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