Dalibor Petković

8.9k total citations
172 papers, 6.7k citations indexed

About

Dalibor Petković is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Dalibor Petković has authored 172 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 43 papers in Artificial Intelligence and 35 papers in Environmental Engineering. Recurrent topics in Dalibor Petković's work include Energy Load and Power Forecasting (48 papers), Wind Energy Research and Development (24 papers) and Hydrological Forecasting Using AI (19 papers). Dalibor Petković is often cited by papers focused on Energy Load and Power Forecasting (48 papers), Wind Energy Research and Development (24 papers) and Hydrological Forecasting Using AI (19 papers). Dalibor Petković collaborates with scholars based in Serbia, Malaysia and Iran. Dalibor Petković's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Construction and Building Materials.

In The Last Decade

Dalibor Petković

170 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dalibor Petković Serbia 48 2.4k 2.1k 1.2k 984 783 172 6.7k
Sancho Salcedo‐Sanz Spain 50 3.6k 1.5× 3.5k 1.6× 1.4k 1.1× 624 0.6× 1.0k 1.3× 371 9.5k
Sue Ellen Haupt United States 37 1.8k 0.8× 1.9k 0.9× 1.3k 1.1× 482 0.5× 718 0.9× 143 7.0k
Tao Hai China 44 1.5k 0.6× 1.1k 0.5× 694 0.6× 801 0.8× 441 0.6× 367 7.9k
Ali Mostafaeipour Iran 53 2.6k 1.1× 1.4k 0.6× 1.2k 1.0× 1.3k 1.3× 1.9k 2.4× 185 7.2k
Jie Zhang China 54 4.9k 2.1× 2.3k 1.1× 1.1k 0.9× 853 0.9× 1.5k 1.9× 539 9.8k
Hossein Moayedi Vietnam 62 1.6k 0.7× 1.5k 0.7× 1.2k 1.0× 839 0.9× 212 0.3× 274 11.4k
Ying Sun Saudi Arabia 44 1.3k 0.5× 2.1k 1.0× 804 0.7× 1.1k 1.1× 168 0.2× 372 7.4k
Aoife Foley United Kingdom 45 5.5k 2.3× 634 0.3× 820 0.7× 900 0.9× 873 1.1× 196 8.7k
Kasra Mohammadi United States 44 1.8k 0.8× 1.7k 0.8× 912 0.7× 1.7k 1.7× 908 1.2× 97 4.8k
Feng Qian China 55 1.6k 0.7× 1.3k 0.6× 1.0k 0.9× 622 0.6× 378 0.5× 542 12.4k

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
1.
Petković, Dalibor, et al.. (2017). An Ontology-based Model for Contextual Recommendations in e-learning. 1(1). 18–23. 6 indexed citations
2.
Hashim, Roslan, et al.. (2016). Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology. Renewable and Sustainable Energy Reviews. 60. 246–257. 43 indexed citations
3.
4.
Chong, Wen Tong, S. Shamshirband, Wan Khairul Muzammil, et al.. (2016). Application of adaptive neuro-fuzzy methodology for performance investigation of a power-augmented vertical axis wind turbine. Energy. 102. 630–636. 13 indexed citations
5.
Mohammadi, Kasra, Shahaboddin Shamshirband, Lip Yee Por, et al.. (2015). Predicting the wind power density based upon extreme learning machine. Energy. 86. 232–239. 74 indexed citations
6.
Shamshirband, Shahaboddin, Meisam Tabatabaei, Mortaza Aghbashlo, Lip Yee Por, & Dalibor Petković. (2015). Support vector machine-based exergetic modelling of a DI diesel engine running on biodiesel–diesel blends containing expanded polystyrene. Applied Thermal Engineering. 94. 727–747. 52 indexed citations
7.
Mohammadi, Kasra, Shahaboddin Shamshirband, Dalibor Petković, & Hossein Khorasanizadeh. (2015). Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran. Renewable and Sustainable Energy Reviews. 53. 1570–1579. 60 indexed citations
8.
Shamshirband, Shahaboddin, A. Malvandi, Arash Karimipour, et al.. (2015). Performance investigation of micro- and nano-sized particle erosion in a 90° elbow using an ANFIS model. Powder Technology. 284. 336–343. 121 indexed citations
9.
Ćojbašić, Žarko, et al.. (2015). Surface roughness prediction by extreme learning machine constructed with abrasive water jet. Precision Engineering. 43. 86–92. 67 indexed citations
10.
Mohammadi, Kasra, Shahaboddin Shamshirband, Dalibor Petković, Lip Yee Por, & Zulkefli Mansor. (2015). Using ANFIS for selection of more relevant parameters to predict dew point temperature. Applied Thermal Engineering. 96. 311–319. 47 indexed citations
11.
Nikolić, Vlastimir, Shahaboddin Shamshirband, Dalibor Petković, et al.. (2015). Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology. Energy. 80. 361–372. 34 indexed citations
12.
Moghaddam, Taher Baghaee, Mehrtash Soltani, Mohamed Rehan Karim, et al.. (2015). Estimation of the rutting performance of Polyethylene Terephthalate modified asphalt mixtures by adaptive neuro-fuzzy methodology. Construction and Building Materials. 96. 550–555. 32 indexed citations
13.
Shamshirband, Shahaboddin, Kasra Mohammadi, Lip Yee Por, Dalibor Petković, & Ali Mostafaeipour. (2015). A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation. Renewable and Sustainable Energy Reviews. 52. 1031–1042. 115 indexed citations
14.
Naji, Sareh, Shahaboddin Shamshirband, Hossein Basser, et al.. (2015). Application of adaptive neuro-fuzzy methodology for estimating building energy consumption. Renewable and Sustainable Energy Reviews. 53. 1520–1528. 52 indexed citations
15.
Olatomiwa, Lanre, Saad Mekhilef, Shahaboddin Shamshirband, & Dalibor Petković. (2015). Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria. Renewable and Sustainable Energy Reviews. 51. 1784–1791. 142 indexed citations
16.
Kişi, Özgür, Jalal Shiri, Sepideh Karimi, et al.. (2015). A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm. Applied Mathematics and Computation. 270. 731–743. 90 indexed citations
17.
Altameem, Torki, Vlastimir Nikolić, Shahaboddin Shamshirband, et al.. (2014). Potential of support vector regression for optimization of lens system. Computer-Aided Design. 62. 57–63. 11 indexed citations
18.
Hajifaraji, Majid, et al.. (2014). Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant. Computer Methods and Programs in Biomedicine. 118(1). 69–76. 21 indexed citations
19.
Shamshirband, Shahaboddin, Nor Badrul Anuar, Miss Laiha Mat Kiah, et al.. (2014). Co-FAIS: Cooperative fuzzy artificial immune system for detecting intrusion in wireless sensor networks. Journal of Network and Computer Applications. 42. 102–117. 71 indexed citations
20.
Petković, Dalibor & Nenad D. Pavlović. (2012). Applications and Adaptive Neuro-Fuzzy Estimation of Conductive Silicone Rubber Properties. University of Zagreb University Computing Centre (SRCE). 54(3). 197–203. 6 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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