Rasool Azimi

558 total citations
14 papers, 459 citations indexed

About

Rasool Azimi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Rasool Azimi has authored 14 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Rasool Azimi's work include Energy Load and Power Forecasting (8 papers), Solar Radiation and Photovoltaics (4 papers) and Electric Power System Optimization (4 papers). Rasool Azimi is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Solar Radiation and Photovoltaics (4 papers) and Electric Power System Optimization (4 papers). Rasool Azimi collaborates with scholars based in Iran, United States and Sweden. Rasool Azimi's co-authors include M. Ghofrani, M. Ghayekhloo, Mohammad Bagher Menhaj, Hedieh Sajedi, James J. Clark and Odile Liboiron-Ladouceur and has published in prestigious journals such as Expert Systems with Applications, Energy Conversion and Management and Solar Energy.

In The Last Decade

Rasool Azimi

13 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rasool Azimi Iran	10	328	263	134	63	35	14	459
Mucun Sun United States	9	405 1.2×	201 0.8×	73 0.5×	47 0.7×	45 1.3×	15	464
Vishal Sharma United States	8	226 0.7×	229 0.9×	116 0.9×	68 1.1×	10 0.3×	25	412
Yao Dong China	11	167 0.5×	130 0.5×	47 0.4×	86 1.4×	31 0.9×	28	335
Danxiang Wei Macao	12	356 1.1×	160 0.6×	44 0.3×	116 1.8×	51 1.5×	18	459
Sumit Saroha India	13	342 1.0×	325 1.2×	122 0.9×	44 0.7×	13 0.4×	38	646
Emil B. Iversen Denmark	5	323 1.0×	76 0.3×	59 0.4×	31 0.5×	34 1.0×	5	385
Fen Li China	10	213 0.6×	145 0.6×	57 0.4×	14 0.2×	17 0.5×	37	360
Zhirui Tian China	10	248 0.8×	148 0.6×	19 0.1×	69 1.1×	30 0.9×	29	400
Kishan Bhushan Sahay India	12	279 0.9×	138 0.5×	26 0.2×	67 1.1×	17 0.5×	46	417

Countries citing papers authored by Rasool Azimi

Since Specialization

Citations

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

Fields of papers citing papers by Rasool Azimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasool Azimi

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

All Works

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14 of 14 papers shown

Azimi, Rasool, et al.. (2025). SEMU-Net: A Segmentation-Based Corrector for Fabrication Process Variations of Nanophotonics with Microscopic Images. 1528–1536.

Ghayekhloo, M., et al.. (2018). A combination approach based on a novel data clustering method and Bayesian recurrent neural network for day-ahead price forecasting of electricity markets. Electric Power Systems Research. 168. 184–199. 38 indexed citations

Azimi, Rasool & Hedieh Sajedi. (2018). A decentralized gossip based approach for data clustering in peer-to-peer networks. Journal of Parallel and Distributed Computing. 119. 64–80. 12 indexed citations

Ghofrani, M., et al.. (2017). A novel data mining method for high accuracy solar radiation forecasting. 1–6. 2 indexed citations

Azimi, Rasool, et al.. (2017). A novel clustering algorithm based on data transformation approaches. Expert Systems with Applications. 76. 59–70. 19 indexed citations

Azimi, Rasool & Hedieh Sajedi. (2017). Peer sampling gossip-based distributed clustering algorithm for unstructured P2P networks. Neural Computing and Applications. 29(2). 593–612. 10 indexed citations

Ghofrani, M., et al.. (2017). A new day-ahead hourly electricity price forecasting framework. 1–6. 6 indexed citations

Azimi, Rasool, et al.. (2016). A distributed data clustering algorithm in P2P networks. Applied Soft Computing. 51. 147–167. 12 indexed citations

Azimi, Rasool, M. Ghofrani, & M. Ghayekhloo. (2016). A hybrid wind power forecasting model based on data mining and wavelets analysis. Energy Conversion and Management. 127. 208–225. 125 indexed citations

10.

Azimi, Rasool, M. Ghayekhloo, & M. Ghofrani. (2016). A hybrid method based on a new clustering technique and multilayer perceptron neural networks for hourly solar radiation forecasting. Energy Conversion and Management. 118. 331–344. 120 indexed citations

11.

Ghofrani, M., et al.. (2016). A novel soft computing framework for solar radiation forecasting. Applied Soft Computing. 48. 207–216. 42 indexed citations

12.

Ghofrani, M., et al.. (2016). K-means clustering with a new initialization approach for wind power forecasting. 1. 1–5. 9 indexed citations

13.

Ghayekhloo, M., M. Ghofrani, Mohammad Bagher Menhaj, & Rasool Azimi. (2015). A novel clustering approach for short-term solar radiation forecasting. Solar Energy. 122. 1371–1383. 63 indexed citations

14.

Azimi, Rasool & Hedieh Sajedi. (2014). Persistent K-Means: Stable Data Clustering Algorithm Based on K-Means Algorithm. 7(1). 57–66. 1 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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