I.S. Shaw

599 citations
31 papers · 340 · h-index 9

Impact in

Papers in

I.S. Shaw

25 papers receiving 293 citations

Peers

I.S. Shaw
Comparison fields: 5 of 84
  • Control and Systems Engineering 146
  • Artificial Intelligence 135
  • Statistics and Probability 13
  • Electrical and Electronic Engineering 70
  • Management Science and Operations Research 15
Replace A. A. Gharaveisi with:
A. A. Gharaveisi Iran
Parameswaran Kamalaruban Switzerland
P.M. Bruijn Netherlands
Abdulrahman Yarali United States
Osama E. Sheta Egypt
Valentina Breschi Italy
Minkyung Kim South Korea
Subir Datta India
Raul Garduno-Ramirez United States
I.S. Shaw relative to A. A. Gharaveisi Iran A. A. Gharaveisi's profile →
Citations per field
00.5×1.5×2.3×
A. A. Gharaveisi · 1×
Citations per year

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-authors

The 11 scholars most cited alongside I.S. Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with I.S. Shaw Line = papers co-authored together I.S. Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Controle e modelagem Fuzzy
1999124
2 198852
3 199226
4 200320
5 199819
6 200217
7 200214
8 20028
9 19898
10 19937
11 20007
12 19936
13 19935
14 19984
15 19944
16 20023
17
Retrieval of Intermediate Level Waste at Trawsfyndd Nuclear Power Station
20022
18 20012
19 20202
20 19982

About I.S. Shaw

I.S. Shaw is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 31 papers that have together received 340 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (15 papers), Neural Networks and Applications (10 papers), Power Quality and Harmonics (7 papers), Fuzzy Systems and Optimization (4 papers), Advanced Control Systems Design (3 papers), Control Systems and Identification (3 papers), Energy Load and Power Forecasting (3 papers) and Induction Heating and Inverter Technology (2 papers). The work is most often cited by research in Control and Systems Engineering (146 citations), Artificial Intelligence (135 citations), Statistics and Probability (13 citations), Electrical and Electronic Engineering (70 citations) and Management Science and Operations Research (15 citations). I.S. Shaw has collaborated with scholars based in South Africa, United States and Hungary. Frequent co-authors include Marcelo Godoy Simões, J.D. van Wyk, George van Schoor, Rialette Pretorius, Zoran Nesic, M.S. Davies, H.C. Ferreira, A.S.J. Helberg, Sharynne McLeod and Guy A. Dumont. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Electronics Letters, IEEE Transactions on Information Theory, Fuzzy Sets and Systems and Water Science & Technology.

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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