H.M. Shanechi

1.0k citations
24 papers · 799 indexed · h-index 13

Impact in

Papers in

H.M. Shanechi

23 papers receiving 737 citations

Peers

H.M. Shanechi
Comparison fields: 5 of 58
  • Safety, Risk, Reliability and Quality 239
  • Control and Systems Engineering 272
  • Electrical and Electronic Engineering 621
  • Drug Discovery 1
  • Modeling and Simulation 15
Replace R.J. Kaye with:
R.J. Kaye Australia
Sermsak Uatrongjit Thailand
Kwang Y. Lee United States
G.P. Granelli Italy
M. Montagna Italy
M. Madrigal Mexico
Shengwei Mei China
Rôman Kuiava Brazil
Catalina Gómez‐Quiles Spain
A. Schellenberg Canada
H.M. Shanechi relative to R.J. Kaye Australia R.J. Kaye's profile →
Citations per field
00.5×
R.J. Kaye · 1×
Citations per year

Countries citing papers authored by H.M. Shanechi

Since Specialization
Citations

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

Fields of papers citing papers by H.M. Shanechi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.M. Shanechi. 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 H.M. Shanechi. The network helps show where H.M. Shanechi may publish in the future.

Co-authorship network

The 11 scholars most cited alongside H.M. Shanechi, 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 H.M. Shanechi Line = papers co-authored together H.M. Shanechi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20182
2 20143
3 20126
4 201116
5 20106
6 2008111
7 20085
8 20073
9 20075
10 200616
11 200680
12 20061
13
Market based transmission planning under uncertainties
200429
14 200424
15 2004214
16 200471
17 200421
18 200334
19 200370
20 200360

About H.M. Shanechi

H.M. Shanechi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Astronomy and Astrophysics and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 799 indexed citations. Recurring topics across this work include Power System Optimization and Stability (9 papers), Electric Power System Optimization (7 papers), Vibration and Dynamic Analysis (6 papers), Optimal Power Flow Distribution (6 papers), Power System Reliability and Maintenance (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Lightning and Electromagnetic Phenomena (3 papers) and Control Systems in Engineering (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (239 citations), Control and Systems Engineering (272 citations), Electrical and Electronic Engineering (621 citations), Drug Discovery (1 citation) and Modeling and Simulation (15 citations). H.M. Shanechi has collaborated with scholars based in Iran, United States and Germany. Frequent co-authors include Naser Pariz, Mohammad Shahidehpour, Gerd Balzer, Majid Oloomi Buygi, E. Vaahedi, Reza Shahnazi, Habib Rajabi Mashhadi, C. Lucas, A. Kazemi and Heidar Ali Shayanfar. Their work appears in journals such as IEEE Transactions on Power Systems, International Journal of Circuit Theory and Applications, IEEE Transactions on Energy Conversion, Journal of Dynamic Systems Measurement and Control and Optimal Control Applications and Methods.

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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