P. Van Olinda

661 total citations
11 papers, 530 citations indexed

About

P. Van Olinda is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, P. Van Olinda has authored 11 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 2 papers in Control and Systems Engineering and 2 papers in Management Science and Operations Research. Recurrent topics in P. Van Olinda's work include Energy Load and Power Forecasting (5 papers), Smart Grid and Power Systems (3 papers) and Power System Optimization and Stability (2 papers). P. Van Olinda is often cited by papers focused on Energy Load and Power Forecasting (5 papers), Smart Grid and Power Systems (3 papers) and Power System Optimization and Stability (2 papers). P. Van Olinda collaborates with scholars based in United States and Japan. P. Van Olinda's co-authors include W. Charytoniuk, M.-S. Chen, Xin Wang, Wei‐Jen Lee, K. Nara, R.R. Shoults, Heng Huang, J.N. Wrubel and B.F. Wollenberg and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Industry Applications and IEEE Power Engineering Review.

In The Last Decade

P. Van Olinda

11 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Van Olinda United States 8 488 120 104 96 89 11 530
W. Charytoniuk United States 8 584 1.2× 196 1.6× 90 0.9× 144 1.5× 46 0.5× 10 642
K. Methaprayoon United States 10 560 1.1× 83 0.7× 128 1.2× 105 1.1× 53 0.6× 15 602
C.S. Özveren United Kingdom 9 454 0.9× 71 0.6× 110 1.1× 99 1.0× 73 0.8× 36 579
H. Takara Japan 5 431 0.9× 168 1.4× 55 0.5× 153 1.6× 32 0.4× 8 478
J. Liao United States 11 763 1.6× 94 0.8× 180 1.7× 142 1.5× 84 0.9× 14 814
I. Drezga United States 6 487 1.0× 103 0.9× 207 2.0× 113 1.2× 51 0.6× 8 528
William R. Christiaanse France 5 422 0.9× 172 1.4× 37 0.4× 123 1.3× 79 0.9× 5 471
R. Bhatnagar United States 5 404 0.8× 161 1.3× 49 0.5× 151 1.6× 26 0.3× 8 434
H.M. Al-Hamadi Kuwait 7 432 0.9× 185 1.5× 47 0.5× 114 1.2× 26 0.3× 10 472
Shangyou Hao United States 10 767 1.6× 143 1.2× 77 0.7× 77 0.8× 99 1.1× 19 807

Countries citing papers authored by P. Van Olinda

Since Specialization
Citations

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

Fields of papers citing papers by P. Van Olinda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Van Olinda. 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 P. Van Olinda. The network helps show where P. Van Olinda may publish in the future.

Co-authorship network of co-authors of P. Van Olinda

This figure shows the co-authorship network connecting the top 25 collaborators of P. Van Olinda. A scholar is included among the top collaborators of P. Van Olinda 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 P. Van Olinda. P. Van Olinda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Wang, Xin, et al.. (2016). Factors that Impact the Accuracy of Clustering-Based Load Forecasting. IEEE Transactions on Industry Applications. 52(5). 3625–3630. 44 indexed citations
2.
Wang, Xin, et al.. (2015). Factors that impact the accuracy of clustering based load forecasting. 24. 1–6. 2 indexed citations
3.
Charytoniuk, W., et al.. (2000). Neural-network-based demand forecasting in a deregulated environment. IEEE Transactions on Industry Applications. 36(3). 893–898. 36 indexed citations
4.
Charytoniuk, W., et al.. (1999). Demand forecasting in power distribution systems using nonparametric probability density estimation. IEEE Transactions on Power Systems. 14(4). 1200–1206. 60 indexed citations
5.
Charytoniuk, W., et al.. (1998). Nonparametric regression based short-term load forecasting. IEEE Transactions on Power Systems. 13(3). 725–730. 241 indexed citations
6.
Chen, M.-S., et al.. (1992). Distribution system short circuit analysis-A rigid approach. IEEE Transactions on Power Systems. 7(1). 444–450. 62 indexed citations
7.
Olinda, P. Van, et al.. (1985). On-Line Contingency Selection Algorithm for Voltage Security Analysis. IEEE Power Engineering Review. PER-5(4). 41–42. 3 indexed citations
8.
Nara, K., et al.. (1985). On-Line Contingency Selection Algorithm for Voltage Security Analysis. IEEE Transactions on Power Apparatus and Systems. PAS-104(4). 846–856. 57 indexed citations
9.
Wrubel, J.N., et al.. (1982). Expanding an Energy Control Center to Include a Bulk System Security Package. IEEE Transactions on Power Apparatus and Systems. PAS-101(1). 34–42. 9 indexed citations
10.
Wrubel, J.N., et al.. (1982). Expanding an Energy Control Center to Include a Bulk System Security Package. IEEE Power Engineering Review. PER-2(1). 20–21. 1 indexed citations
11.
Olinda, P. Van, et al.. (1974). On-Line Operation of Phase Shifters Using Energy Control Centre Computers. IEEE Transactions on Power Apparatus and Systems. PAS-93(5). 1563–1571. 15 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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