Maria Kaïka

153 total papers · 6.3k total citations
77 papers, 4.0k citations indexed

About

Maria Kaïka is a scholar working on Political Science and International Relations, Urban Studies and Sociology and Political Science. According to data from OpenAlex, Maria Kaïka has authored 77 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Political Science and International Relations, 17 papers in Urban Studies and 17 papers in Sociology and Political Science. Recurrent topics in Maria Kaïka's work include Water Governance and Infrastructure (15 papers), Urban Planning and Governance (13 papers) and Housing, Finance, and Neoliberalism (9 papers). Maria Kaïka is often cited by papers focused on Water Governance and Infrastructure (15 papers), Urban Planning and Governance (13 papers) and Housing, Finance, and Neoliberalism (9 papers). Maria Kaïka collaborates with scholars based in Slovakia, United Kingdom and Netherlands. Maria Kaïka's co-authors include E Swyngedouw, Sophie Watson, Gary Bridge, Nik Heynen, Melissa García‐Lamarca, Ben Page, Irina Velicu, Roger Keil, Federico Caprotti and Nikki Luke and has published in prestigious journals such as Ecology and Society, Urban Studies and Progress in Human Geography.

In The Last Decade

Maria Kaïka

65 papers receiving 3.6k citations

Hit Papers

In the Nature of Cities: ... 2000 2026 2008 2017 2006 2000 2017 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Maria Kaïka 1.7k 1.3k 1.1k 655 617 77 4.0k
Matthew Gandy 1.4k 0.8× 838 0.7× 885 0.8× 913 1.4× 493 0.8× 90 3.5k
Judith E. Innes 1.1k 0.7× 1.9k 1.5× 1.8k 1.7× 325 0.5× 1.5k 2.4× 54 6.5k
Karen Bakker 3.1k 1.8× 2.0k 1.6× 623 0.6× 552 0.8× 1.2k 2.0× 80 6.6k
Nik Heynen 882 0.5× 1.4k 1.1× 599 0.6× 677 1.0× 1.2k 1.9× 57 3.9k
Roger Keil 1.2k 0.7× 1.4k 1.1× 2.0k 1.9× 420 0.6× 491 0.8× 138 4.4k
Gavin Bridge 1.6k 0.9× 2.6k 2.0× 265 0.3× 601 0.9× 1.5k 2.4× 84 7.0k
Colin McFarlane 2.3k 1.4× 2.2k 1.8× 2.9k 2.8× 991 1.5× 595 1.0× 103 7.5k
David E. Booher 752 0.4× 1.2k 1.0× 954 0.9× 162 0.2× 1000 1.6× 26 4.2k
David Mosse 1.3k 0.8× 2.3k 1.8× 276 0.3× 117 0.2× 590 1.0× 69 4.7k
Uma Kothari 997 0.6× 2.9k 2.3× 480 0.5× 221 0.3× 818 1.3× 72 5.6k

Countries citing papers authored by Maria Kaïka

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kaïka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kaïka

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kaïka. A scholar is included among the top collaborators of Maria Kaïka 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 Kaïka. Maria Kaïka 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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