Milan Stojković

407 total citations
35 papers, 288 citations indexed

About

Milan Stojković is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Milan Stojković has authored 35 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Water Science and Technology, 18 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Milan Stojković's work include Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (12 papers) and Hydrology and Drought Analysis (11 papers). Milan Stojković is often cited by papers focused on Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (12 papers) and Hydrology and Drought Analysis (11 papers). Milan Stojković collaborates with scholars based in Serbia, Canada and Australia. Milan Stojković's co-authors include Jasna Plavšić, Srđan Kostić, Slobodan P. Simonović, Nikola Milivojević, Aleksandra Ilić, Nebojša Vasović, Veljko Prodanović, Peter M. Bach, Jelena Radonić and Maja Turk Sekulić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Sustainability.

In The Last Decade

Milan Stojković

34 papers receiving 280 citations

Peers

Milan Stojković
Fariborz Yosefvand Iran
Behrouz Mehdinejadiani Iran
Omar Wani Switzerland
Safar Marofi Iran
Mansour Talebizadeh United States
Lianzhou Wu China
Dimitrios Karpouzos Greece
Huicheng Zhou China
Lakhdar Djemili Algeria
Sirisha Adamala India
Fariborz Yosefvand Iran
Milan Stojković
Citations per year, relative to Milan Stojković Milan Stojković (= 1×) peers Fariborz Yosefvand

Countries citing papers authored by Milan Stojković

Since Specialization
Citations

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

Fields of papers citing papers by Milan Stojković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Stojković

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Stojković. A scholar is included among the top collaborators of Milan Stojković 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 Stojković. Milan Stojković 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.
Stojković, Milan, et al.. (2025). Machine learning-based interactive dynamic resilience assessment for complex hydropower systems. Journal Of Big Data. 12(1). 1 indexed citations
2.
Prodanović, Veljko, et al.. (2024). Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment. Water Research X. 27. 100297–100297. 8 indexed citations
3.
Stojković, Milan, et al.. (2024). Annual and Low-Flow Trends in Serbia. Journal of Hydrologic Engineering. 29(3). 2 indexed citations
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5.
Stojković, Milan, et al.. (2024). Novel Perspectives on Environmental Dynamic Resilience: Adapting Urban Water Systems to a Changing Climate. Water Resources Management. 38(12). 4455–4472. 4 indexed citations
6.
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Stojković, Milan, et al.. (2023). Assessing water resources systems’ dynamic resilience under hazardous events via a genetic fuzzy rule-based system. Journal of Hydroinformatics. 25(2). 318–331. 3 indexed citations
8.
Sekulić, Maja Turk, et al.. (2023). Application of machine learning in river water quality management: a review. Water Science & Technology. 88(9). 2297–2308. 21 indexed citations
9.
Stojković, Milan, et al.. (2023). Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks. Journal of Hydroinformatics. 25(2). 208–225. 10 indexed citations
10.
Stojković, Milan, et al.. (2023). Estimation of Large River Design Floods Using the Peaks-Over-Threshold (POT) Method. Sustainability. 15(6). 5573–5573. 5 indexed citations
11.
Stojković, Milan, et al.. (2023). Failure Conditions Assessment of Complex Water Systems Using Fuzzy Logic. Water Resources Management. 37(3). 1153–1182. 5 indexed citations
12.
13.
Stojković, Milan & Slobodan P. Simonović. (2020). Understanding the Uncertainty of the Lim River Basin Response to Changing Climate. Journal of Hydrologic Engineering. 25(9). 4 indexed citations
14.
Kostić, Srđan, et al.. (2019). Revealing the background of groundwater level dynamics: Contributing factors, complex modeling and engineering applications. Chaos Solitons & Fractals. 127. 408–421. 6 indexed citations
15.
Koraćević, Goran, et al.. (2018). Should Cushing's Syndrome be Considered as a Disease with High Cardiovascular Risk in Relevant Guidelines?. Current Vascular Pharmacology. 18(1). 12–24. 3 indexed citations
16.
Stojković, Milan, et al.. (2017). Annual and seasonal discharge prediction in the middle Danube River basin based on a modified TIPS (Tendency, Intermittency, Periodicity, Stochasticity) methodology. Journal of Hydrology and Hydromechanics. 65(2). 165–174. 3 indexed citations
17.
Kostić, Srđan, et al.. (2016). Hydrological flow rate estimation using artificial neural networks: Model development and potential applications. Applied Mathematics and Computation. 291. 373–385. 13 indexed citations
18.
Stojković, Milan, et al.. (2014). Multi-Temporal Analysis of Mean Annual and Seasonal Stream Flow Trends, Including Periodicity and Multiple Non-Linear Regression. Water Resources Management. 28(12). 4319–4335. 23 indexed citations
19.
Stojković, Milan & Nikola Milivojević. (2013). Hydrological modeling with special reference to snow cover processes. SHILAP Revista de lepidopterología. 11(2). 147–168. 1 indexed citations
20.
Mitić, Snežana, Milan Stojković, Aleksandra Pavlović, Snežana Tošić, & Milan Mitić. (2012). Heavy metal content in different types of smoked meat in Serbia. Food Additives and Contaminants Part B. 5(4). 241–245. 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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