Miloš Marjanović

1.1k total citations · 1 hit paper
24 papers, 761 citations indexed

About

Miloš Marjanović is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Miloš Marjanović has authored 24 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management, Monitoring, Policy and Law, 11 papers in Global and Planetary Change and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Miloš Marjanović's work include Landslides and related hazards (18 papers), Geotechnical Engineering and Analysis (7 papers) and Flood Risk Assessment and Management (6 papers). Miloš Marjanović is often cited by papers focused on Landslides and related hazards (18 papers), Geotechnical Engineering and Analysis (7 papers) and Flood Risk Assessment and Management (6 papers). Miloš Marjanović collaborates with scholars based in Serbia, Czechia and United States. Miloš Marjanović's co-authors include Branislav Bajat, Miloš Kovačević, Vit Voženílek, Biljana Abolmasov, Zoran Radić, Ana Mladenovič, Michael Krautblatter, Velјko Perović, Milan Kilibarda and Aleksandar Miladinović and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Remote Sensing.

In The Last Decade

Miloš Marjanović

23 papers receiving 750 citations

Hit Papers

Landslide susceptibility assessment using SVM machine lea... 2011 2026 2016 2021 2011 100 200 300 400
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. Landslide susceptibility assessment using SVM machine learning algorithm
    2011 495 citations Miloš Marjanović, Miloš Kovačević et al. Engineering Geology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miloš Marjanović Serbia 9 569 385 148 147 138 24 761
Yanli Wu China 12 616 1.1× 453 1.2× 181 1.2× 169 1.1× 167 1.2× 16 856
Netra R. Regmi United States 11 542 1.0× 416 1.1× 182 1.2× 139 0.9× 142 1.0× 16 701
Ngô Văn Liêm Vietnam 12 513 0.9× 403 1.0× 176 1.2× 117 0.8× 106 0.8× 25 890
Huichan Chai China 9 640 1.1× 548 1.4× 171 1.2× 187 1.3× 155 1.1× 13 886
Atsuko Nonomura Japan 10 690 1.2× 527 1.4× 211 1.4× 138 0.9× 196 1.4× 43 884
Phuong Thao Thi Ngo Vietnam 8 429 0.8× 324 0.8× 126 0.9× 98 0.7× 107 0.8× 10 643
Seyed Mahmoud Fatemi Aghda Iran 13 498 0.9× 437 1.1× 109 0.7× 153 1.0× 148 1.1× 43 892
Yacine Achour Algeria 8 511 0.9× 361 0.9× 144 1.0× 126 0.9× 144 1.0× 13 662
Shouyun Liang China 12 497 0.9× 298 0.8× 178 1.2× 124 0.8× 151 1.1× 33 751

Countries citing papers authored by Miloš Marjanović

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Marjanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Marjanović

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Marjanović. A scholar is included among the top collaborators of Miloš Marjanović 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 Miloš Marjanović. Miloš Marjanović 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.
Marjanović, Miloš, et al.. (2024). Comparison of Different Numerical Methods in Modeling of Debris Flows—Case Study in Selanac (Serbia). Applied Sciences. 14(19). 9059–9059. 1 indexed citations
2.
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
3.
Marjanović, M., S. M. Carbotte, S. C. Singh, et al.. (2023). Insights into dike nucleation and eruption dynamics from high-resolution seismic imaging of magmatic system at the East Pacific Rise. Science Advances. 9(39). eadi2698–eadi2698. 4 indexed citations
4.
5.
Marjanović, Miloš, et al.. (2021). Pre-failure deformation monitoring as rockfall prediction tool. IOP Conference Series Earth and Environmental Science. 833(1). 12197–12197. 1 indexed citations
6.
Marjanović, Miloš, et al.. (2019). Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept. Engineering Geology. 256. 23–38. 44 indexed citations
7.
Peshevski, Igor, et al.. (2019). Preliminary regional landslide susceptibility assessment using limited data. Geologia Croatica. 72(1). 81–92. 5 indexed citations
8.
Perović, Velјko, et al.. (2019). Spatial assessment of the areas sensitive to degradation in the rural area of the municipality Čukarica. International Soil and Water Conservation Research. 7(1). 71–80. 25 indexed citations
9.
Marjanović, Miloš, et al.. (2018). Assessment of landslide‐related hazard and risk on the road network of the Valjevo city, Serbia. ce/papers. 2(2-3). 365–370. 1 indexed citations
10.
Marjanović, Miloš, et al.. (2018). Preliminary results of numerical modelling of debris flow ‐ case study Leva reka, Serbia. ce/papers. 2(2-3). 707–712. 1 indexed citations
11.
12.
Abolmasov, Biljana, et al.. (2014). A geotechnical model of the Umka landslide with reference to landslides in weathered Neogene marls in Serbia. Landslides. 12(4). 689–702. 17 indexed citations
13.
Marjanović, Miloš, et al.. (2013). Impact of geo-environmental factors on landslide susceptibility using an AHP method: A case study of Fruska Gora Mt., Serbia. SHILAP Revista de lepidopterología. 91–100. 1 indexed citations
14.
Marjanović, Miloš, et al.. (2013). Statistical approach in land-use suitability analysis of the Belgrade City suburbs. GraFar (University of Belgrade, Faculty of Civil Engineering). 72–72. 1 indexed citations
15.
Marjanović, Miloš. (2013). Advanced methods for landslide assessment using GIS. 2 indexed citations
16.
Marjanović, Miloš, et al.. (2012). Urban Land Cover Change Of Olomouc City Using Landsat Images. Zenodo (CERN European Organization for Nuclear Research). 6(11). 923–929. 1 indexed citations
17.
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
18.
Marjanović, Miloš, et al.. (2011). Fuzzy Approach to Landslide Susceptibility Zonation.. 181–195. 2 indexed citations
19.
Marjanović, Miloš, Miloš Kovačević, Branislav Bajat, & Vit Voženílek. (2011). Landslide susceptibility assessment using SVM machine learning algorithm. Engineering Geology. 123(3). 225–234. 495 indexed citations breakdown →
20.
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

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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