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.
Bio-Inspired Imprecise Computational Blocks for Efficient VLSI Implementation of Soft-Computing Applications
2010429 citationsS.M. Fakhraie, C. Lucas et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of C. Lucas'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 C. Lucas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Lucas more than expected).
This network shows the impact of papers produced by C. Lucas. 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 C. Lucas. The network helps show where C. Lucas may publish in the future.
Co-authorship network of co-authors of C. Lucas
This figure shows the co-authorship network connecting the top 25 collaborators of C. Lucas.
A scholar is included among the top collaborators of C. Lucas 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 C. Lucas. C. Lucas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lucas, C., Zahra Nasiri‐Gheidari, & Farid Tootoonchian. (2010). Using Modular Pole for Multi-Objective Design Optimization of a Linear Permanent Magnet Synchronous Motor by Particle Swarm Optimization (PSO). SHILAP Revista de lepidopterología.5 indexed citations
10.
Lucas, C., Farid Tootoonchian, & Zahra Nasiri‐Gheidari. (2010). Multi-Objective Design Optimization of a Linear Brushless Permanent Magnet Motor Using Particle Swarm Optimization (PSO). SHILAP Revista de lepidopterología.2 indexed citations
Lucas, C., et al.. (2009). Sensorless Speed Control of Switched Reluctance Motor Drive Using the Binary Observer with Online Flux-Linkage Estimation. 5(2). 143–150.13 indexed citations
15.
Fakhraie, S.M., et al.. (2008). An improvement on LEACH algorithm with a fuzzy processor. Asia-Pacific Conference on Communications. 1–5.5 indexed citations
Lesani, Hamid, et al.. (2006). A Systems Approach to Information Technology (IT) Infrastructure Design for Utility Management Automation Systems. 2(34). 91–105.16 indexed citations
18.
Lucas, C., et al.. (2004). A novel controller for a power system based belbic (brain emotional learning based intelligent controller). World Automation Congress. 16. 409–420.14 indexed citations
19.
Lucas, C., et al.. (2004). Speed control of an interior permanent magnet synchronous motor using belbic (brain emotional learning based intelligent controller). World Automation Congress. 16. 280–286.23 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.