Milan Kilibarda

6.3k total citations · 1 hit paper
32 papers, 4.0k citations indexed

About

Milan Kilibarda is a scholar working on Global and Planetary Change, Environmental Engineering and Ecology. According to data from OpenAlex, Milan Kilibarda has authored 32 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 9 papers in Environmental Engineering and 8 papers in Ecology. Recurrent topics in Milan Kilibarda's work include Remote Sensing in Agriculture (7 papers), Climate variability and models (7 papers) and Spatial and Panel Data Analysis (5 papers). Milan Kilibarda is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Climate variability and models (7 papers) and Spatial and Panel Data Analysis (5 papers). Milan Kilibarda collaborates with scholars based in Serbia, Netherlands and Croatia. Milan Kilibarda's co-authors include G.B.M. Heuvelink, Branislav Bajat, Tomislav Hengl, Bernhard Bauer-Marschallinger, Marvin N. Wright, Wei Shangguan, Mário Guevara, M. Ruiperez González, Eloi Ribeiro and S. Mantel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing.

In The Last Decade

Milan Kilibarda

32 papers receiving 3.9k citations

Hit Papers

SoilGrids250m: Global gridded soil information based on m... 2017 2026 2020 2023 2017 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Kilibarda Serbia 16 1.3k 1.3k 835 774 655 32 4.0k
Ichsani Wheeler Netherlands 8 1.1k 0.8× 1.1k 0.9× 842 1.0× 916 1.2× 456 0.7× 11 3.5k
S. Mantel Netherlands 10 1.1k 0.8× 995 0.8× 825 1.0× 824 1.1× 431 0.7× 33 3.3k
Mário Guevara United States 13 1.1k 0.8× 1.1k 0.9× 880 1.1× 796 1.0× 518 0.8× 40 3.4k
Xiaoyuan Geng Canada 18 1.4k 1.1× 1.5k 1.2× 1.5k 1.8× 906 1.2× 631 1.0× 35 4.3k
M. Ruiperez González Netherlands 5 1.2k 0.9× 1.3k 1.0× 947 1.1× 1.2k 1.6× 546 0.8× 12 4.2k
Bernhard Bauer-Marschallinger Austria 19 1.4k 1.0× 1.8k 1.4× 997 1.2× 807 1.0× 1.1k 1.6× 43 4.2k
Jorge Mendes de Jesus Netherlands 5 1.4k 1.0× 1.8k 1.4× 1.1k 1.3× 1.3k 1.7× 643 1.0× 9 4.8k
Edson Eyji Sano Brazil 27 1.5k 1.1× 829 0.7× 1.4k 1.7× 748 1.0× 309 0.5× 170 3.7k
J.G.B. Leenaars Netherlands 13 1.4k 1.0× 1.9k 1.5× 1.1k 1.3× 1.5k 2.0× 620 0.9× 37 5.2k
Laura Poggio United Kingdom 27 895 0.7× 1.7k 1.3× 968 1.2× 1.1k 1.4× 331 0.5× 65 3.7k

Countries citing papers authored by Milan Kilibarda

Since Specialization
Citations

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

Fields of papers citing papers by Milan Kilibarda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Kilibarda

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Kilibarda. A scholar is included among the top collaborators of Milan Kilibarda 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 Milan Kilibarda. Milan Kilibarda 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.
Matavulj, Predrag, et al.. (2024). Interseasonal transfer learning for crop mapping using Sentinel-1 data. International Journal of Applied Earth Observation and Geoinformation. 128. 103718–103718. 14 indexed citations
2.
Bajat, Branislav, et al.. (2023). Transfer learning approach based on satellite image time series for the crop classification problem. Journal Of Big Data. 10(1). 13 indexed citations
3.
Kilibarda, Milan, et al.. (2023). Ground Surface Subsidence Monitoring Using Sentinel-1 in the “Kostolac” Open Pit Coal Mine. Remote Sensing. 15(10). 2519–2519. 9 indexed citations
4.
Parente, Leandro, Tomislav Hengl, Martin Landa, et al.. (2022). A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat. PeerJ. 10. e13573–e13573. 25 indexed citations
5.
Sekulić, Aleksandar, et al.. (2021). A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation. Scientific Data. 8(1). 123–123. 19 indexed citations
6.
Kilibarda, Milan, et al.. (2020). The optimal conformal projection for pan-European mapping. Geodetski vestnik. 64(2). 214–226. 1 indexed citations
7.
Bajat, Branislav, et al.. (2020). Space-time high-resolution data of the potential insolation and solar duration for Montenegro. Spatium. 45–52. 1 indexed citations
8.
Sekulić, Aleksandar, et al.. (2019). Spatio-temporal regression kriging model of mean daily temperature for Croatia. Theoretical and Applied Climatology. 140(1-2). 101–114. 27 indexed citations
9.
Hengl, Tomislav, Jorge Mendes de Jesus, G.B.M. Heuvelink, et al.. (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE. 12(2). e0169748–e0169748. 2903 indexed citations breakdown →
10.
Kilibarda, Milan, et al.. (2017). Three-dimensional urban solar potential maps: Case study of the i-Scope Project. Thermal Science. 22(1 Part B). 663–673. 2 indexed citations
11.
Burić, Dragan, Jelena Luković, Branislav Bajat, Milan Kilibarda, & Nenad Živković. (2015). Recent trends in daily rainfall extremes over Montenegro (1951–2010). Natural hazards and earth system sciences. 15(9). 2069–2077. 41 indexed citations
12.
Kilibarda, Milan, Melita Perčec Tadić, Tomislav Hengl, Jelena Luković, & Branislav Bajat. (2015). Global geographic and feature space coverage of temperature data in the context of spatio-temporal interpolation. Spatial Statistics. 14. 22–38. 30 indexed citations
13.
Kilibarda, Milan, Tomislav Hengl, G.B.M. Heuvelink, et al.. (2014). Spatio‐temporal interpolation of daily temperatures for global land areas at 1 km resolution. Journal of Geophysical Research Atmospheres. 119(5). 2294–2313. 190 indexed citations
14.
Ćujić, Mirjana, Snežana Dragović, Marko Sabovljević, et al.. (2013). Use of Mosses as Biomonitors of Major, Minor and Trace Element Deposition Around the Largest Thermal Power Plant in Serbia. CLEAN - Soil Air Water. 42(1). 5–11. 9 indexed citations
15.
Bajat, Branislav, et al.. (2013). Dasimetrično modeliranje dinamike prebivalstva na urbanih območjih. Geodetski vestnik. 57(4). 777–792. 8 indexed citations
16.
Kilibarda, Milan & Branislav Bajat. (2012). PlotGoogleMaps: The R-Based Web-Mapping Tool for Thematic Spatial Data. GEOMATICA. 66(1). 37–49. 14 indexed citations
17.
Bajat, Branislav, et al.. (2011). Spatial modelling of population concentration using geographically weighted regression method. SHILAP Revista de lepidopterología. 61(3). 151–167. 6 indexed citations
18.
Kilibarda, Milan, et al.. (2010). Application of Google Maps API service for creating web map of information retrieved from CORINE land cover databases. Glasnik srpskog geografskog drustva. 90(4). 103–114. 4 indexed citations
19.
Kilibarda, Milan. (1993). HIV infection among drug abusers in the Belgrade area.. PubMed. 45(1). 135–46. 5 indexed citations
20.
Kilibarda, Milan, et al.. (1955). The influence of chronic exposition to lead on blood pressure. Archives of Industrial Hygiene and Toxicology. 6(1). 23–26. 1 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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