Dalibor Petković

8.9k citations
172 papers · 6.7k indexed · h-index 48
Topics
Energy Load and Power Forecasting (48 papers)Wind Energy Research and Development (24 papers)Hydrological Forecasting Using AI (19 papers)
Partner nations
SerbiaMalaysiaIran

In The Last Decade

Dalibor Petković

170 papers receiving 6.5k citations

Peers

Dalibor Petković
Comparison fields: 5 of 170
  • Electrical and Electronic Engineering 2.4k
  • Artificial Intelligence 2.1k
  • Environmental Engineering 1.2k
  • Renewable Energy, Sustainability and the Environment 984
  • Aerospace Engineering 783
Replace Sancho Salcedo‐Sanz with:
Sancho Salcedo‐Sanz Spain
Sue Ellen Haupt United States
Jie Zhang China
Hossein Moayedi Vietnam
Feng Qian China
Ying Sun Saudi Arabia
Jianzhou Wang China
Jan Kleissl United States
Tao Hai China
Mohamed Mohandes Saudi Arabia
Dalibor Petković relative to Sancho Salcedo‐Sanz Spain Sancho Salcedo‐Sanz's profile →
Citations per field
00.5×1.6×
Sancho Salcedo‐Sanz · 1×
Citations per year

Countries citing papers authored by Dalibor Petković

Since Specialization
Citations

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

Fields of papers citing papers by Dalibor Petković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalibor Petković

This figure shows the co-authorship network connecting the top 25 collaborators of Dalibor Petković. A scholar is included among the top collaborators of Dalibor Petković 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 Dalibor Petković. Dalibor Petković 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
An Ontology-based Model for Contextual Recommendations in e-learning
6
2 43
3 14
4 13
5 74
6 52
7 60
8 121
9 67
10 47
11 34
12 32
13 115
14 52
15 142
16 90
17 11
18 21
19 71
20
Applications and Adaptive Neuro-Fuzzy Estimation of Conductive Silicone Rubber Properties
6

About Dalibor Petković

Dalibor Petković is a scholar working on Environmental Engineering, Computational Mathematics and Artificial Intelligence, having authored 172 papers that have together received 6.7k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (48 papers), Wind Energy Research and Development (24 papers) and Hydrological Forecasting Using AI (19 papers). The work is most often cited by research in Environmental Engineering (1.2k citations), Artificial Intelligence (2.1k citations) and Renewable Energy, Sustainability and the Environment (984 citations). Dalibor Petković has collaborated with scholars based in Serbia, Malaysia and Iran. Frequent co-authors include Shahaboddin Shamshirband, Kasra Mohammadi, Žarko Ćojbašić, Vlastimir Nikolić, Sudheer Ch, Milan Gocić, Shervin Motamedi, Nenad D. Pavlović, Roslan Hashim and Nor Badrul Anuar. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Construction and Building Materials.

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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