Branislav Bajat

2.8k total citations · 1 hit paper
45 papers, 2.0k citations indexed

About

Branislav Bajat is a scholar working on Global and Planetary Change, Environmental Engineering and Economics and Econometrics. According to data from OpenAlex, Branislav Bajat has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 11 papers in Environmental Engineering and 10 papers in Economics and Econometrics. Recurrent topics in Branislav Bajat's work include Soil Geostatistics and Mapping (8 papers), Remote Sensing in Agriculture (7 papers) and Climate variability and models (7 papers). Branislav Bajat is often cited by papers focused on Soil Geostatistics and Mapping (8 papers), Remote Sensing in Agriculture (7 papers) and Climate variability and models (7 papers). Branislav Bajat collaborates with scholars based in Serbia, Netherlands and Canada. Branislav Bajat's co-authors include Miloš Kovačević, Milan Kilibarda, Miloš Marjanović, Vit Voženílek, G.B.M. Heuvelink, Boško Gajić, Aleksandar Sekulić, Jelena Luković, Tomislav Hengl and Mladen Nikolić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geoderma and Remote Sensing.

In The Last Decade

Branislav Bajat

45 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Landslide susceptibility assessment using SVM machine learning algorithm

2011 495 citations Miloš Marjanović, Miloš Kovačević et al. profile →

Peers

Branislav Bajat

GPC

EE

MMPL

AS

AI

Quang‐Thanh Bui Vietnam

Viet‐Ha Nhu Vietnam

Hossein Shafizadeh‐Moghadam Iran

Patrick Bogaert Belgium

Chuanrong Zhang United States

Andrea G. Fabbri Canada

Phuong Thao Thi Ngo Vietnam

Øystein B. Dick Norway

Shattri Mansor Malaysia

Quang‐Thanh Bui Vietnam

Branislav Bajat

1.3k ×1.5

GPC

524 ×0.9

EE

512 ×1.0

MMPL

258 ×0.7

AS

160 ×0.7

AI

Citations per year, relative to Branislav Bajat Branislav Bajat (= 1×) peers Quang‐Thanh Bui

Countries citing papers authored by Branislav Bajat

Since Specialization

Citations

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

Fields of papers citing papers by Branislav Bajat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Branislav Bajat

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

All Works

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20 of 20 papers shown

1.

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

2.

Bajat, Branislav, et al.. (2023). Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia. Agriculture. 13(4). 778–778. 16 indexed citations

3.

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

4.

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

5.

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

6.

Bajat, Branislav, et al.. (2017). Using NoSQL databases in the 3D cadastre domain. Geodetski vestnik. 61(3). 412–426. 6 indexed citations

7.

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

8.

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

9.

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

10.

Bajat, Branislav, et al.. (2013). Mapping probabilities of precipitation occurrence on the territory of the Republic of Serbia by the method of indicator kriging. SHILAP Revista de lepidopterología. 93(2). 23–40. 1 indexed citations

11.

Bajat, Branislav, et al.. (2013). Dasimetrično modeliranje dinamike prebivalstva na urbanih območjih. Geodetski vestnik. 57(4). 777–792. 8 indexed citations

12.

Bajat, Branislav, et al.. (2012). Mapping average annual precipitation in Serbia (1961–1990) by using regression kriging. Theoretical and Applied Climatology. 112(1-2). 1–13. 45 indexed citations

13.

Kilibarda, Milan & Branislav Bajat. (2012). PlotGoogleMaps: The R-Based Web-Mapping Tool for Thematic Spatial Data. GEOMATICA. 66(1). 37–49. 14 indexed citations

14.

Marjanović, Miloš, et al.. (2011). Landslide assessment of the Starca basin (Croatia) using machine learning algorithms. GraFar (University of Belgrade, Faculty of Civil Engineering). 4 indexed citations

15.

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

16.

Marjanović, Miloš, Branislav Bajat, & Miloš Kovačević. (2009). Landslide Susceptibility Assessment with Machine Learning Algorithms. GraFar (University of Belgrade, Faculty of Civil Engineering). 273–278. 55 indexed citations

17.

Hengl, Tomislav, et al.. (2008). Geostatistical modeling of topography using auxiliary maps. Computers & Geosciences. 34(12). 1886–1899. 39 indexed citations

18.

Bajat, Branislav, et al.. (2005). The influence to source of data for accuracy on digital terrain models (DTM). Glasnik srpskog geografskog drustva. 85(1). 265–280. 2 indexed citations

19.

Bajat, Branislav, et al.. (2004). Elements of spatial data quality as information technology support for sustainable development planning. Spatium. 77–83. 14 indexed citations

20.

Bajat, Branislav, et al.. (2003). Quality analysis of digital terrain models for the test area Zlatibor. Glasnik srpskog geografskog drustva. 83(1). 31–42. 2 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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