Tibor Lieskovský

874 total citations · 1 hit paper
21 papers, 596 citations indexed

About

Tibor Lieskovský is a scholar working on Space and Planetary Science, Geology and Global and Planetary Change. According to data from OpenAlex, Tibor Lieskovský has authored 21 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Space and Planetary Science, 7 papers in Geology and 6 papers in Global and Planetary Change. Recurrent topics in Tibor Lieskovský's work include 3D Surveying and Cultural Heritage (7 papers), Archaeological Research and Protection (7 papers) and Land Use and Ecosystem Services (5 papers). Tibor Lieskovský is often cited by papers focused on 3D Surveying and Cultural Heritage (7 papers), Archaeological Research and Protection (7 papers) and Land Use and Ecosystem Services (5 papers). Tibor Lieskovský collaborates with scholars based in Slovakia, Switzerland and United States. Tibor Lieskovský's co-authors include Juraj Lieskovský, Matthias Bürgi, Urs Gimmi, Jana Špulerová, Marta Dobrovodská, Peter Bezák, Milan Kováč, Stephen Houston, Marcello A. Canuto and Alexandre Tokovinine and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Remote Sensing.

In The Last Decade

Tibor Lieskovský

14 papers receiving 578 citations

Hit Papers

Ancient lowland Maya comp... 2018 2026 2020 2023 2018 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala
    2018 231 citations Marcello A. Canuto, Francisco Estrada-Belli et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tibor Lieskovský Slovakia 9 226 179 123 114 102 21 596
Sam Turner United Kingdom 12 96 0.4× 108 0.6× 113 0.9× 38 0.3× 33 0.3× 47 478
Christopher T. Fisher United States 13 58 0.3× 298 1.7× 369 3.0× 168 1.5× 107 1.0× 31 777
Álvaro Rodríguez Miranda Spain 8 183 0.8× 36 0.2× 25 0.2× 92 0.8× 33 0.3× 46 464
Boun Suy Tan Australia 7 59 0.3× 202 1.1× 108 0.9× 122 1.1× 126 1.2× 7 379
Marcello A. Canuto United States 10 51 0.2× 175 1.0× 362 2.9× 98 0.9× 66 0.6× 22 631
Theo Spek Netherlands 12 232 1.0× 42 0.2× 103 0.8× 14 0.1× 27 0.3× 39 632
Tina Tin United States 10 45 0.2× 195 1.1× 105 0.9× 112 1.0× 73 0.7× 29 549
Henry Chapman United Kingdom 14 25 0.1× 182 1.0× 160 1.3× 87 0.8× 24 0.2× 42 517
Michael J. Harrower United States 15 22 0.1× 212 1.2× 255 2.1× 91 0.8× 53 0.5× 31 664
Meghan Howey United States 10 44 0.2× 125 0.7× 235 1.9× 46 0.4× 21 0.2× 28 474

Countries citing papers authored by Tibor Lieskovský

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Lieskovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tibor Lieskovský

This figure shows the co-authorship network connecting the top 25 collaborators of Tibor Lieskovský. A scholar is included among the top collaborators of Tibor Lieskovský 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 Tibor Lieskovský. Tibor Lieskovský 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.
Lieskovský, Tibor, et al.. (2025). Airborne Lidar Refines Georeferencing Austro-Hungarian Maps from the First and Second Military Surveys. ISPRS International Journal of Geo-Information. 14(7). 274–274.
2.
3.
Lieskovský, Tibor, et al.. (2024). Photogrammetric Measurement of Grassland Fire Spread: Techniques and Challenges with Low-Cost Unmanned Aerial Vehicles. Drones. 8(7). 282–282. 2 indexed citations
4.
Lieskovský, Juraj, et al.. (2024). Application of LiDAR visualisations for mapping the tillage direction. Soil and Water Research. 19(4). 200–209. 1 indexed citations
5.
6.
Lieskovský, Tibor, et al.. (2024). High Hopes: On Settlement Strategies in the Tribeč Mountains (West Slovakia). 71(2). 253–281. 1 indexed citations
7.
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Lieskovský, Juraj, et al.. (2022). Potential of airborne LiDAR data in detecting cultural landscape features in Slovakia. Landscape Research. 47(5). 539–558. 8 indexed citations
9.
10.
Dreslerová, Dagmar, Jan Kolář, Tomáš Chuman, et al.. (2022). Long time-series ecological niche modelling using archaeological settlement data: Tracing the origins of present-day landscape. Applied Geography. 141. 102669–102669. 9 indexed citations
11.
Hudec, Jozef, et al.. (2021). A BRIEF REPORT ON THE 2019 SEASON IN DUWEYM WAD HAJ. 30(1). 202–224.
12.
Lieskovský, Tibor, et al.. (2021). Archaeological Digital Archiving in Heritage Management in Slovakia. Internet Archaeology. 1 indexed citations
13.
Pazúr, Róbert, Juraj Lieskovský, Matthias Bürgi, et al.. (2020). Abandonment and Recultivation of Agricultural Lands in Slovakia—Patterns and Determinants from the Past to the Future. Land. 9(9). 316–316. 51 indexed citations
14.
Kováč, Milan, et al.. (2020). Semantic Segmentation of Airborne LiDAR Data in Maya Archaeology. Remote Sensing. 12(22). 3685–3685. 33 indexed citations
15.
Canuto, Marcello A., Francisco Estrada-Belli, Thomas G. Garrison, et al.. (2018). Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala. Science. 361(6409). 231 indexed citations breakdown →
16.
Lieskovský, Tibor, et al.. (2017). Usability of LiDAR data for archaeological survey in the Uaxactun area, North Peten, Guatemala..
17.
Lieskovský, Tibor, et al.. (2017). Fuzzy Similarity and Fuzzy Inclusion Measures in Polyline Matching: A Case Study of Potential Streams Identification for Archaeological Modelling in GIS. SHILAP Revista de lepidopterología. 104(1). 115–130. 4 indexed citations
18.
Lieskovský, Juraj, Pavol Kenderessy, Jana Špulerová, et al.. (2014). Factors affecting the persistence of traditional agricultural landscapes in Slovakia during the collectivization of agriculture. Landscape Ecology. 29(5). 867–877. 54 indexed citations
19.
Lieskovský, Juraj, Peter Bezák, Jana Špulerová, et al.. (2014). The abandonment of traditional agricultural landscape in Slovakia – Analysis of extent and driving forces. Journal of Rural Studies. 37. 75–84. 182 indexed citations
20.
Lieskovský, Tibor, et al.. (2013). Selected Mathematical Principles of Archaeological Predictive Models Creation and Validation in the GIS Environment. IV(2/2013). 177–190. 9 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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