D.J. Šobajić

3.7k total citations · 1 hit paper
77 papers, 2.8k citations indexed

About

D.J. Šobajić is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, D.J. Šobajić has authored 77 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 36 papers in Control and Systems Engineering and 23 papers in Artificial Intelligence. Recurrent topics in D.J. Šobajić's work include Power System Optimization and Stability (40 papers), Neural Networks and Applications (18 papers) and Power Systems Fault Detection (15 papers). D.J. Šobajić is often cited by papers focused on Power System Optimization and Stability (40 papers), Neural Networks and Applications (18 papers) and Power Systems Fault Detection (15 papers). D.J. Šobajić collaborates with scholars based in United States, Serbia and Belgium. D.J. Šobajić's co-authors include Yoh‐Han Pao, Y.-H. Pao, Gwang-Hoon Park, M. Djukanović, Stephen M. Phillips, Mladen Kezunović, Mathaios Panteli, Daniel S. Kirschen, P.A. Crossley and P. Hirsch and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Power Systems and IEEE Transactions on Power Delivery.

In The Last Decade

D.J. Šobajić

75 papers receiving 2.7k citations

Hit Papers

Learning and generalization characteristics of the random... 1994 2026 2004 2015 1994 250 500 750
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.

  1. Learning and generalization characteristics of the random vector functional-link net
    1994 836 citations Yoh‐Han Pao, D.J. Šobajić et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.J. Šobajić United States 21 1.7k 1.1k 1.1k 337 312 77 2.8k
Hao Yu China 26 1.5k 0.9× 480 0.4× 978 0.9× 150 0.4× 102 0.3× 105 2.5k
Mahdi Aliyari Shoorehdeli Iran 26 507 0.3× 775 0.7× 1.2k 1.1× 182 0.5× 73 0.2× 207 2.6k
Yang Weng United States 30 2.2k 1.3× 409 0.4× 1.2k 1.1× 89 0.3× 292 0.9× 141 2.8k
Qiang Ling China 31 1.0k 0.6× 778 0.7× 1.1k 1.0× 833 2.5× 149 0.5× 231 3.7k
Qiang Zhou China 28 1.1k 0.7× 230 0.2× 652 0.6× 109 0.3× 442 1.4× 203 2.7k
Yan Shi China 19 1.4k 0.8× 1.2k 1.1× 662 0.6× 244 0.7× 45 0.1× 96 3.5k
Minyou Chen China 33 1.9k 1.1× 500 0.4× 1.2k 1.1× 82 0.2× 42 0.1× 143 3.0k
Nishchal K. Verma India 27 510 0.3× 580 0.5× 1.3k 1.1× 522 1.5× 76 0.2× 189 2.6k
Kanjian Zhang China 27 934 0.5× 801 0.7× 878 0.8× 203 0.6× 39 0.1× 215 2.6k
Asanga Ratnaweera Sri Lanka 7 573 0.3× 1.4k 1.2× 740 0.7× 228 0.7× 35 0.1× 17 2.6k

Countries citing papers authored by D.J. Šobajić

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Šobajić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Šobajić. 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 D.J. Šobajić. The network helps show where D.J. Šobajić may publish in the future.

Co-authorship network of co-authors of D.J. Šobajić

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Šobajić. A scholar is included among the top collaborators of D.J. Šobajić 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 D.J. Šobajić. D.J. Šobajić 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.
Cui, Bai, Miroslav M. Begovic, Reynaldo Nuqui, D.J. Šobajić, & Yang Song. (2013). On voltage stability monitoring with voltage instability predictors. 1–8. 8 indexed citations
2.
3.
Djukanović, M., D.J. Šobajić, & Y.-H. Pao. (2002). Learning tangent hypersurfaces for fast assessment of transient stability. 140. 124–129. 4 indexed citations
4.
Ernst, Damien, Daniel Ruiz‐Vega, M. Pavella, P. Hirsch, & D.J. Šobajić. (2002). Closure of "a unified approach to transient stability contingency filtering, ranking, and assessment". IEEE Transactions on Power Systems. 17(2). 528–529. 4 indexed citations
5.
6.
Ruiz‐Vega, Daniel, Damien Ernst, C. Machado Ferreira, et al.. (2000). A contingency filtering, ranking and assessment technique for on-line transient stability studies. Open Repository and Bibliography (University of Liège). 459–464. 12 indexed citations
7.
Stanković, A.M., et al.. (1999). Dissipativity as a unifying control design framework for suppression of low frequency oscillations in power systems. IEEE Transactions on Power Systems. 14(1). 192–199. 21 indexed citations
8.
Ejebe, G.C., J. Waight, Vijay Vittal, et al.. (1998). Online dynamic security assessment in an EMS. IEEE Computer Applications in Power. 11(1). 43–47. 17 indexed citations
9.
Ansari, Shahzeb, et al.. (1996). On external network model development. IEEE Transactions on Power Systems. 11(2). 905–910. 14 indexed citations
10.
Djukanović, M., et al.. (1995). Neural-net based coordinated stabilizing control for the exciter and governor loops of low head hydropower plants. IEEE Transactions on Energy Conversion. 10(4). 760–767. 32 indexed citations
11.
Djukanović, M., et al.. (1993). Applications of neural-net computing to transient stability assessment and enhancement of electric power systems. Yugoslav journal of operations research. 3(2). 199–218. 1 indexed citations
12.
Djukanović, M., et al.. (1993). Prediction of power system frequency response after generator outages using neural nets. IEE Proceedings C Generation Transmission and Distribution. 140(5). 389–389. 40 indexed citations
13.
Djukanović, M., D.J. Šobajić, & Y.-H. Pao. (1992). Artificial neural network based identification of dynamic equivalents. Electric Power Systems Research. 24(1). 39–48. 17 indexed citations
14.
Djukanović, M., et al.. (1992). Neural network based calculation of short-circuit currents in three-phase systems. Electric Power Systems Research. 24(1). 49–53. 4 indexed citations
15.
Djukanović, M., D.J. Šobajić, & Yoh‐Han Pao. (1992). Neural-net based calculation of voltage dips at maximum angular swing in direct transient stability analysis. International Journal of Electrical Power & Energy Systems. 14(5). 341–350. 5 indexed citations
16.
Djukanović, M., D.J. Šobajić, & Y.-H. Pao. (1992). Neural net based determination of generator-shedding requirements in electric power systems. IEE Proceedings C Generation Transmission and Distribution. 139(5). 427–427. 35 indexed citations
17.
Pao, Yoh‐Han & D.J. Šobajić. (1991). Current Status of Artificial Neural Network Applications to Power Systems in the United States (電力・エネルギ-分野におけるニュ-ラルネットワ-ク応用 ). 111(7). 690–697.
18.
Pao, Yoh‐Han & D.J. Šobajić. (1991). Current Status of Artificial Neural Network Applications to Power Systems in the United States. IEEJ Transactions on Power and Energy. 111(7). 690–697. 11 indexed citations
19.
20.
Šobajić, D.J. & Y.-H. Pao. (1989). Artificial neural-net based dynamic security assessment for electric power systems. IEEE Transactions on Power Systems. 4(1). 220–228. 295 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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