Milan Gocić

3.8k total citations · 1 hit paper
57 papers, 3.0k citations indexed

About

Milan Gocić is a scholar working on Global and Planetary Change, Environmental Engineering and Artificial Intelligence. According to data from OpenAlex, Milan Gocić has authored 57 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 24 papers in Environmental Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Milan Gocić's work include Hydrological Forecasting Using AI (22 papers), Hydrology and Drought Analysis (22 papers) and Plant Water Relations and Carbon Dynamics (20 papers). Milan Gocić is often cited by papers focused on Hydrological Forecasting Using AI (22 papers), Hydrology and Drought Analysis (22 papers) and Plant Water Relations and Carbon Dynamics (20 papers). Milan Gocić collaborates with scholars based in Serbia, Malaysia and Iran. Milan Gocić's co-authors include Slaviša Trajković, Dalibor Petković, Shahaboddin Shamshirband, Roslan Hashim, Shervin Motamedi, Sudheer Ch, Muhammad Arif, Amirrudin Kamsin, Kasra Mohammadi and Sultan Noman Qasem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Climatic Change.

In The Last Decade

Milan Gocić

52 papers receiving 2.9k 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.

Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia

2012 1.3k citations Milan Gocić, Slaviša Trajković profile →

Peers

Milan Gocić

GPC

WST

ECOLO

Yagob Dinpashoh Iran

P. Hosseinzadeh Talaee Iran

Slaviša Trajković Serbia

Ahmad Fakheri Fard Iran

Ahmad Sharafati Iran

Shengzhi Huang China

Deepak Khare India

Wei Fang China

Zhiyong Liu China

Qiang Huang China

Yagob Dinpashoh Iran

Milan Gocić

2.6k ×1.2

GPC

1.2k ×1.4

WST

705 ×1.0

706 ×1.1

175 ×0.5

ECOLO

Citations per year, relative to Milan Gocić Milan Gocić (= 1×) peers Yagob Dinpashoh

Countries citing papers authored by Milan Gocić

Since Specialization

Citations

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

Fields of papers citing papers by Milan Gocić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Gocić

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Gocić. A scholar is included among the top collaborators of Milan Gocić 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 Gocić. Milan Gocić 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

Gocić, Milan, et al.. (2025). Entropy analysis of precipitation variability in Serbia. Theoretical and Applied Climatology. 156(8).

Gocić, Milan, et al.. (2023). Neural network based system in evapotranspiration time series prediction. Earth Science Informatics. 16(1). 919–928. 5 indexed citations

Gocić, Milan, et al.. (2023). Analysis of temporal and spatial variations of drought over Serbia by investigating the applicability of precipitation-based drought indices. Theoretical and Applied Climatology. 154(1-2). 261–274. 21 indexed citations

Zeleňáková, Martina, et al.. (2023). Drought Risks Assessment Using Standardized Precipitation Index. SHILAP Revista de lepidopterología. 38–38.

Gocić, Milan, et al.. (2023). CLIMATE CHANGE IMPACTS ON WATER BALANCE COMPONENTS IN BOSNIA AND HERZEGOVINA AND CROATIA. The Journal Agriculture and Forestry. 69(2). 3 indexed citations

Gocić, Milan, Shervin Motamedi, Shahaboddin Shamshirband, Dalibor Petković, & Roslan Hashim. (2019). Expression of Concern: Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices. Stochastic Environmental Research and Risk Assessment. 33(4-6). 1247–1247. 2 indexed citations

Trajković, Slaviša, Milan Gocić, Rita Pongrácz, & Judit Bartholy. (2019). Adjustment of Thornthwaite equation for estimating evapotranspiration in Vojvodina. Theoretical and Applied Climatology. 138(3-4). 1231–1240. 26 indexed citations

Armenski, Tanja, et al.. (2017). Influence of mathematical and physical background of drought indices on their complementarity and drought recognition ability. Atmospheric Research. 194. 268–280. 34 indexed citations

Gocić, Milan, Dalibor Petković, Shahaboddin Shamshirband, & Amirrudin Kamsin. (2016). Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine. Computers and Electronics in Agriculture. 127. 56–63. 82 indexed citations

10.

Shamshirband, Shahaboddin, et al.. (2016). Predicting the reference evapotranspiration based on tensor decomposition. Theoretical and Applied Climatology. 130(3-4). 1099–1109. 8 indexed citations

11.

Gocić, Milan, Shahaboddin Shamshirband, Zaidi Razak, et al.. (2016). Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods. Advances in Meteorology. 2016. 1–11. 58 indexed citations

12.

Trajković, Slaviša, Özgür Kişi, Momcilo Markus, et al.. (2016). Hydrological Hazards in a Changing Environment: Early Warning, Forecasting, and Impact Assessment. Advances in Meteorology. 2016. 1–2. 4 indexed citations

13.

Hashim, Roslan, et al.. (2015). Selection of meteorological parameters affecting rainfall estimation using neuro-fuzzy computing methodology. Atmospheric Research. 171. 21–30. 29 indexed citations

14.

Danesh, Amir Seyed, Milan Gocić, Ainuddin Wahid Abdul Wahab, et al.. (2015). Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform. Water Resources Management. 30(2). 641–652. 44 indexed citations

15.

Gocić, Milan, et al.. (2015). Analysis of Climatic Parameters in Serbia over the Period from 1981 to 2010. Agriculture and Agricultural Science Procedia. 4. 167–174. 3 indexed citations

16.

Shamshirband, Shahaboddin, Milan Gocić, Shatirah Akib, et al.. (2015). Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm. Journal of Irrigation and Drainage Engineering. 142(2). 45 indexed citations

17.

Gocić, Milan, Shervin Motamedi, Shahaboddin Shamshirband, Dalibor Petković, & Roslan Hashim. (2015). Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices. Stochastic Environmental Research and Risk Assessment. 29(8). 1993–2002. 17 indexed citations

18.

Gocić, Milan & Slaviša Trajković. (2013). Spatio-temporal patterns of precipitation in Serbia. Theoretical and Applied Climatology. 117(3-4). 419–431. 47 indexed citations

19.

Trajković, Slaviša, et al.. (2011). Minimum weather data requirements for estimating reference evapotranspiration. SHILAP Revista de lepidopterología. 9(2). 335–345. 8 indexed citations

20.

Gocić, Milan & Slaviša Trajković. (2011). Service-oriented approach for modeling and estimating reference evapotranspiration. Computers and Electronics in Agriculture. 79(2). 153–158. 16 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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