Matej Nikšič

540 citations
18 papers · 361 indexed · 1 hit paper · h-index 5
Topics
Geographic Information Systems Studies (2 papers)Urbanization and City Planning (2 papers)Urban Planning and Valuation (2 papers)
Journals
SHILAP Revista de lepidopterologíaSustainabilityISPRS International Journal of Geo-Information

In The Last Decade

Matej Nikšič

12 papers receiving 342 citations

Hit Papers

Crowdsourcing, Citizen Science or Volunteered Geographic ...20162026201920222016100200300

Peers

Matej Nikšič
Comparison fields: 5 of 67
  • Geography, Planning and Development 134
  • Transportation 94
  • Global and Planetary Change 82
  • Ecological Modeling 49
  • Signal Processing 47
Replace Andrea Pődör with:
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Matej Nikšič relative to Andrea Pődör Hungary Andrea Pődör's profile →
Citations per field
00.5×1.5×
Andrea Pődör · 1×
Citations per year

Countries citing papers authored by Matej Nikšič

Since Specialization
Citations

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

Fields of papers citing papers by Matej Nikšič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matej Nikšič

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 0
3 6
4 3
5 0
6 12
7 2
8 1
9 4
10 16
11 7
12 3
13
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Informationbreakdown →
302
14 0
15 1
16 2
17 1
18 1

About Matej Nikšič

Matej Nikšič is a scholar working on Geography, Planning and Development, Urban Studies and Archeology, having authored 18 papers that have together received 361 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (2 papers), Urbanization and City Planning (2 papers) and Urban Planning and Valuation (2 papers). The work is most often cited by research in Geography, Planning and Development (134 citations), Transportation (94 citations) and Ecological Modeling (49 citations). Matej Nikšič has collaborated with scholars based in Slovenia, Croatia and United Kingdom. Frequent co-authors include Mari Laakso, Marco Paìnho, Ana‐Maria Olteanu‐Raimond, Bin Jiang, Giles M. Foody, Steffen Fritz, Jacinto Estima, Andrea Pődör, Alexis Comber and Linda See. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and ISPRS International Journal of Geo-Information.

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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