Miloš Kovačević

1.7k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Miloš Kovačević is a scholar working on Artificial Intelligence, Management, Monitoring, Policy and Law and Information Systems. According to data from OpenAlex, Miloš Kovačević has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Management, Monitoring, Policy and Law and 7 papers in Information Systems. Recurrent topics in Miloš Kovačević's work include Web Data Mining and Analysis (5 papers), Soil and Land Suitability Analysis (5 papers) and Software Engineering Research (3 papers). Miloš Kovačević is often cited by papers focused on Web Data Mining and Analysis (5 papers), Soil and Land Suitability Analysis (5 papers) and Software Engineering Research (3 papers). Miloš Kovačević collaborates with scholars based in Serbia, Canada and Czechia. Miloš Kovačević's co-authors include Branislav Bajat, Miloš Marjanović, Vit Voženílek, Boško Gajić, Dominik Vodnik, Helena Grčman, Johannes T. van Elteren, Irena Maček, Suzana Dragićević and Veljko Milutinović and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Access.

In The Last Decade

Miloš Kovačević

25 papers receiving 1.2k citations

Hit Papers

Landslide susceptibility assessment using SVM machine lea... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miloš Kovačević Serbia 13 476 405 207 177 163 27 1.2k
Branislav Bajat Serbia 21 534 1.1× 836 2.1× 590 2.9× 235 1.3× 76 0.5× 45 2.0k
Kourosh Ahmadi Iran 21 295 0.6× 795 2.0× 586 2.8× 95 0.5× 73 0.4× 54 1.7k
Mohsen Alizadeh Iran 13 304 0.6× 322 0.8× 75 0.4× 81 0.5× 38 0.2× 33 841
Halil Akıncı Türkiye 16 884 1.9× 543 1.3× 227 1.1× 53 0.3× 84 0.5× 45 1.2k
Sijia Li China 20 199 0.4× 479 1.2× 174 0.8× 89 0.5× 44 0.3× 87 1.3k
Pham Viet Hoa Vietnam 16 281 0.6× 814 2.0× 403 1.9× 120 0.7× 28 0.2× 29 1.3k
Quang‐Thanh Bui Vietnam 23 512 1.1× 1.3k 3.1× 524 2.5× 160 0.9× 29 0.2× 65 2.0k
Bekir Taner San Türkiye 15 292 0.6× 183 0.5× 157 0.8× 96 0.5× 42 0.3× 24 723
Yu Feng China 15 136 0.3× 169 0.4× 205 1.0× 295 1.7× 68 0.4× 33 1.4k

Countries citing papers authored by Miloš Kovačević

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Kovačević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Kovačević

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Kovačević. A scholar is included among the top collaborators of Miloš Kovačević 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 Kovačević. Miloš Kovačević 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.
Kovačević, Miloš, et al.. (2024). Predictive Analytics of In-Game Transactions: Tokenized Player History and Self-Attention Techniques. IEEE Access. 12. 149263–149271.
2.
Kovačević, Miloš, et al.. (2021). Rapid earthquake loss assessment based on machine learning and representative sampling. Earthquake Spectra. 38(1). 152–177. 35 indexed citations
3.
Kovačević, Miloš, et al.. (2021). Estimating Residual Value of Heavy Construction Equipment Using Ensemble Learning. Journal of Construction Engineering and Management. 147(7). 6 indexed citations
4.
Kovačević, Miloš, et al.. (2017). Machine Learning Techniques for Modelling Short Term Land-Use Change. ISPRS International Journal of Geo-Information. 6(12). 387–387. 42 indexed citations
5.
Kovačević, Miloš, et al.. (2017). Building a Construction Project Key-Phrase Network from Unstructured Text Documents. Journal of Computing in Civil Engineering. 31(6). 16 indexed citations
6.
Lazarević, Luka, Miloš Kovačević, & Zdenka Popović. (2015). Rail traffic volume estimation based on world development indicators. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Kovačević, Miloš, et al.. (2015). NEW FINDINGS OF THE GREEK FROG, RANA GRAECA BOULENGER, 1891 (ANURA: RANIDAE) IN THE NORTH-WESTERN BOSNIA AND HERZEGOVINA. Ecologica Montenegrina. 2(2). 74–77. 1 indexed citations
8.
Dragićević, Suzana, et al.. (2015). Modeling Urban Land Use Changes Using Support Vector Machines. Transactions in GIS. 20(5). 718–734. 49 indexed citations
9.
Kovačević, Miloš, et al.. (2015). Analysis on population awareness of the environmental protection in the local community. 3(1). 57–62. 1 indexed citations
10.
Dragićević, Suzana, et al.. (2015). Exploring the decision tree method FOR MODELLING URBAN LAND USE CHANGE. GEOMATICA. 69(3). 313–325. 9 indexed citations
11.
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
12.
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 →
13.
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
14.
Kovačević, Miloš & Colin H. Davidson. (2008). CRAWLING THE CONSTRUCTION WEB – A MACHINE-LEARNING APPROACH WITHOUT NEGATIVE EXAMPLES. Applied Artificial Intelligence. 22(5). 459–482. 2 indexed citations
15.
Vodnik, Dominik, Helena Grčman, Irena Maček, Johannes T. van Elteren, & Miloš Kovačević. (2007). The contribution of glomalin-related soil protein to Pb and Zn sequestration in polluted soil. The Science of The Total Environment. 392(1). 130–136. 165 indexed citations
16.
Kovačević, Miloš, Jian‐Yun Nie, & Colin H. Davidson. (2007). Providing Answers to Questions from Automatically Collected Web Pages for Intelligent Decision Making in the Construction Sector. Journal of Computing in Civil Engineering. 22(1). 3–13. 22 indexed citations
17.
Stanković, Srboljub, Milan S. Petrović, Miloš Kovačević, et al.. (2007). Monte Carlo Calculation of X-Rays Deposited Energy in CdZnTe Detector. Materials science forum. 555. 141–146. 2 indexed citations
18.
Kovačević, Miloš, Michelangelo Diligenti, Marco Gori, & Veljko Milutinović. (2004). Visual Adjacency Multigraphs a Novel Approach for a Web Page Classification. Use Siena air (University of Siena). 38–49. 12 indexed citations
19.
Gori, Marco, et al.. (2002). Web Page Classification Using Spatial Information. Use Siena air (University of Siena).
20.
Stanković, S., et al.. (1996). Energy Dependence of pMOS Dosemeters. Radiation Protection Dosimetry. 64(3). 205–211. 7 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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