Farid MiarNaeimi

501 total citations · 1 hit paper
6 papers, 368 citations indexed

About

Farid MiarNaeimi is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Farid MiarNaeimi has authored 6 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Civil and Structural Engineering, 4 papers in Artificial Intelligence and 2 papers in Ocean Engineering. Recurrent topics in Farid MiarNaeimi's work include Metaheuristic Optimization Algorithms Research (4 papers), Probabilistic and Robust Engineering Design (2 papers) and Water Systems and Optimization (2 papers). Farid MiarNaeimi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (4 papers), Probabilistic and Robust Engineering Design (2 papers) and Water Systems and Optimization (2 papers). Farid MiarNaeimi collaborates with scholars based in Iran. Farid MiarNaeimi's co-authors include Mohsen Rashki, Gholamreza Azizyan and Naser Shabakhty and has published in prestigious journals such as Knowledge-Based Systems, Applied Mathematical Modelling and Soft Computing.

In The Last Decade

Farid MiarNaeimi

6 papers receiving 348 citations

Hit Papers

align trajectories

What are hit papers?

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.

Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems

2020 276 citations Farid MiarNaeimi, Gholamreza Azizyan et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farid MiarNaeimi Iran	6	204	115	51	47	39	6	368
Adel Got Algeria	9	182 0.9×	124 1.1×	25 0.5×	39 0.8×	11 0.3×	11	344
Xinfang Ji China	6	214 1.0×	222 1.9×	27 0.5×	26 0.6×	26 0.7×	11	386
Linjun He China	10	236 1.2×	260 2.3×	24 0.5×	79 1.7×	17 0.4×	27	469
Ling-po Li China	6	254 1.2×	157 1.4×	26 0.5×	144 3.1×	24 0.6×	6	485
Ataollah Zaerreza Iran	11	106 0.5×	122 1.1×	156 3.1×	24 0.5×	37 0.9×	16	321
Yicun Hua China	5	249 1.2×	229 2.0×	34 0.7×	30 0.6×	9 0.2×	8	396
Krishnendu Sanyal India	5	374 1.8×	385 3.3×	44 0.9×	55 1.2×	21 0.5×	6	544
Xue Feng China	11	264 1.3×	240 2.1×	23 0.5×	82 1.7×	11 0.3×	29	469
Haiming Lu United States	9	235 1.2×	209 1.8×	20 0.4×	39 0.8×	14 0.4×	13	395

Countries citing papers authored by Farid MiarNaeimi

Since Specialization

Citations

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

Fields of papers citing papers by Farid MiarNaeimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Farid MiarNaeimi. 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 Farid MiarNaeimi. The network helps show where Farid MiarNaeimi may publish in the future.

Co-authorship network of co-authors of Farid MiarNaeimi

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

All Works

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6 of 6 papers shown

1.

MiarNaeimi, Farid, et al.. (2022). A New Developed Line Sampling Method for Reliability-Based Design Optimization of Structures. Iranian Journal of Science and Technology Transactions of Civil Engineering. 46(5). 3537–3553. 6 indexed citations

2.

MiarNaeimi, Farid, et al.. (2021). A new hybrid multi-level cross-entropy-based moth-flame optimization algorithm. Soft Computing. 25(22). 14245–14279. 7 indexed citations

3.

MiarNaeimi, Farid, Gholamreza Azizyan, & Mohsen Rashki. (2020). Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems. Knowledge-Based Systems. 213. 106711–106711. 276 indexed citations breakdown →

4.

MiarNaeimi, Farid, Gholamreza Azizyan, & Mohsen Rashki. (2019). Reliability sensitivity analysis method based on subset simulation hybrid techniques. Applied Mathematical Modelling. 75. 607–626. 31 indexed citations

5.

Azizyan, Gholamreza, Farid MiarNaeimi, Mohsen Rashki, & Naser Shabakhty. (2018). Flying Squirrel Optimizer (FSO): A novel SI-based optimization algorithm for engineering problems. 11(2). 177–205. 15 indexed citations

6.

MiarNaeimi, Farid, Gholamreza Azizyan, & Mohsen Rashki. (2017). Multi-level cross entropy optimizer (MCEO): an evolutionary optimization algorithm for engineering problems. Engineering With Computers. 34(4). 719–739. 33 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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