Milan Gocić

3.8k citations
57 papers · 3.0k indexed · 1 hit paper · h-index 24
Topics
Hydrological Forecasting Using AI (22 papers)Hydrology and Drought Analysis (22 papers)Plant Water Relations and Carbon Dynamics (20 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of HydrologyClimatic Change
Partner nations
SerbiaMalaysiaIran

In The Last Decade

Milan Gocić

52 papers receiving 2.9k citations

Hit Papers

Analysis of changes in meteorological variables using Man...201220262016202120124008001.2k

Peers

Milan Gocić
Comparison fields: 5 of 128
  • Global and Planetary Change 2.1k
  • Water Science and Technology 858
  • Environmental Engineering 742
  • Atmospheric Science 631
  • Ecology 329
Replace Slaviša Trajković with:
Slaviša Trajković Serbia
Qiang Huang China
Yagob Dinpashoh Iran
Wei Fang China
Shengzhi Huang China
Zhiyong Liu China
Carmelo Cammalleri Italy
Nana Yan China
P. Hosseinzadeh Talaee Iran
Chengguang Lai China
Milan Gocić relative to Slaviša Trajković Serbia Slaviša Trajković's profile →
Citations per field
00.5×1.5×
Slaviša Trajković · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 21
4 0
5 3
6 2
7 26
8 34
9 82
10 8
11 58
12 4
13 29
14 44
15 3
16 45
17 17
18 47
19 8
20 16

About Milan Gocić

Milan Gocić is a scholar working on Global and Planetary Change, Computational Mathematics and Environmental Engineering, having authored 57 papers that have together received 3.0k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (22 papers), Hydrology and Drought Analysis (22 papers) and Plant Water Relations and Carbon Dynamics (20 papers). The work is most often cited by research in Global and Planetary Change (2.1k citations), Water Science and Technology (858 citations) and Environmental Engineering (742 citations). Milan Gocić has collaborated with scholars based in Serbia, Malaysia and Iran. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Climatic Change.

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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