I.S. Shaw

599 total citations
24 papers, 291 citations indexed

About

I.S. Shaw is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, I.S. Shaw has authored 24 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in I.S. Shaw's work include Fuzzy Logic and Control Systems (10 papers), Power Quality and Harmonics (7 papers) and Neural Networks and Applications (7 papers). I.S. Shaw is often cited by papers focused on Fuzzy Logic and Control Systems (10 papers), Power Quality and Harmonics (7 papers) and Neural Networks and Applications (7 papers). I.S. Shaw collaborates with scholars based in South Africa, United States and Hungary. I.S. Shaw's co-authors include Marcelo Godoy Simões, J.D. van Wyk, George van Schoor, Rialette Pretorius, Guy A. Dumont, Chris Wyman, Sharynne McLeod, Zoran Nesic, M.S. Davies and H.C. Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Industrial Electronics.

In The Last Decade

I.S. Shaw

21 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I.S. Shaw South Africa	8	123	110	68	17	14	24	291
Minkyung Kim South Korea	9	26 0.2×	57 0.5×	124 1.8×	13 0.8×	10 0.7×	29	287
Felipe Lara-Rosano Mexico	8	106 0.9×	81 0.7×	41 0.6×	19 1.1×	14 1.0×	24	274
Peidong Xu China	9	70 0.6×	76 0.7×	182 2.7×	10 0.6×	9 0.6×	28	298
Anderson da Silva Soares Brazil	10	33 0.3×	43 0.4×	43 0.6×	15 0.9×	5 0.4×	40	220
Ajit Gopalakrishnan United States	9	236 1.9×	51 0.5×	139 2.0×	20 1.2×	4 0.3×	14	384
Daeyoung Choi South Korea	5	25 0.2×	71 0.6×	61 0.9×	16 0.9×	11 0.8×	10	290
Guangyu Tu China	8	157 1.3×	19 0.2×	240 3.5×	7 0.4×	17 1.2×	23	329
Nélida B. Brignole Argentina	10	57 0.5×	48 0.4×	20 0.3×	36 2.1×	12 0.9×	40	287
Wuxing Chen China	7	29 0.2×	132 1.2×	47 0.7×	18 1.1×	4 0.3×	12	215
Jianmin Zhang China	10	77 0.6×	68 0.6×	194 2.9×	9 0.5×	28 2.0×	63	347

Countries citing papers authored by I.S. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by I.S. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I.S. Shaw. 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 I.S. Shaw. The network helps show where I.S. Shaw may publish in the future.

Co-authorship network of co-authors of I.S. Shaw

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

All Works

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20 of 20 papers shown

Schoor, George van, J.D. van Wyk, & I.S. Shaw. (2003). Training and optimization of an artificial neural network controlling a hybrid power filter. IEEE Transactions on Industrial Electronics. 50(3). 546–553. 19 indexed citations

Wyk, J.D. van, et al.. (2002). Smart non-active power compensator with neural network control-an evaluation. European Conference on Power Electronics and Applications. 36–41.

Shaw, I.S., et al.. (2002). Retrieval of Intermediate Level Waste at Trawsfyndd Nuclear Power Station. University of North Texas Digital Library (University of North Texas). 1 indexed citations

Shaw, I.S., et al.. (2002). A fuzzy learning system emulating a human tracking operator. smc?17. 25–28.

Schoor, George van, J.D. van Wyk, & I.S. Shaw. (2002). Optimal control of a hybrid power compensator using an artificial neural network controller. 2. 972–979. 14 indexed citations

McLeod, Sharynne, et al.. (2002). Paper machine data analysis and display using wavelet transforms. 59–62. 3 indexed citations

Shaw, I.S., et al.. (2002). A new approach to control non-standard induction machines, using a fuzzy logic algorithm. 2. 1315–1319. 1 indexed citations

Schoor, George van, J.D. van Wyk, & I.S. Shaw. (2002). Modelling of a power network compensated by hybrid power filters with different distorted loads. 1. 301–306. 8 indexed citations

Shaw, I.S., et al.. (2002). Retrieval of intermediate-level waste at Trawsfynydd nuclear power station. 41(6). 391–396. 1 indexed citations

10.

Schoor, George van, J.D. van Wyk, & I.S. Shaw. (2001). Evaluation of the adaptive behaviour of an artificial neural network controller for a hybrid power compensator. European Transactions on Electrical Power. 11(6). 383–391. 2 indexed citations

11.

Wyk, J.D. van, I.S. Shaw, & Rialette Pretorius. (2000). A neural-network-based controller for the cost-effective operation of a hybrid compensator for nonactive power. IEEE Transactions on Industrial Electronics. 47(6). 1220–1227. 7 indexed citations

12.

Shaw, I.S. & Marcelo Godoy Simões. (1999). Controle e modelagem Fuzzy. 114 indexed citations

13.

Shaw, I.S., J.D. van Wyk, & Rialette Pretorius. (1998). Die beheer van ’n elektriese kragnetwerk - vervormingskompensator - hibried deur ’n kunsmatige neurale netwerk. SHILAP Revista de lepidopterología. 17(1). 32–38. 1 indexed citations

14.

Shaw, I.S.. (1998). Fuzzy Control of Industrial Systems. 14 indexed citations

15.

Shaw, I.S., et al.. (1993). Alternative Method for the Control of Balancing Tank at a Wastewater Treatment Plant. Water Science & Technology. 28(11-12). 523–530. 5 indexed citations

16.

Shaw, I.S.. (1993). Fuzzy model of a human control operator in a compensatory tracking loop. International Journal of Man-Machine Studies. 39(2). 305–332. 6 indexed citations

17.

Shaw, I.S., et al.. (1993). VLSI Hardware Realization of Self-Learning Recursive Fuzzy Model for Dynamic Systems. IFAC Proceedings Volumes. 26(2). 769–772. 3 indexed citations

18.

Shaw, I.S., et al.. (1992). New fuzzy learning model with recursive estimation for dynamic systems. Fuzzy Sets and Systems. 48(2). 217–229. 23 indexed citations

19.

Shaw, I.S., et al.. (1991). The Application of a New Fuzzy Model Identification Technique to a Human Tracking Control Operator. IFAC Proceedings Volumes. 24(3). 947–952. 1 indexed citations

20.

Shaw, I.S., et al.. (1988). Probabilistic fuzzy model for dynamic systems. Electronics Letters. 24(14). 890–892. 48 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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