Malihe Danesh

572 total citations
13 papers, 466 citations indexed

About

Malihe Danesh is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Malihe Danesh has authored 13 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Malihe Danesh's work include Advanced Clustering Algorithms Research (5 papers), Complex Network Analysis Techniques (3 papers) and Hydrological Forecasting Using AI (2 papers). Malihe Danesh is often cited by papers focused on Advanced Clustering Algorithms Research (5 papers), Complex Network Analysis Techniques (3 papers) and Hydrological Forecasting Using AI (2 papers). Malihe Danesh collaborates with scholars based in Iran, Vietnam and Malaysia. Malihe Danesh's co-authors include Shahaboddin Shamshirband, Saad Mekhilef, Monowar Hossain, Lanre Olatomiwa, Mohamad Javad Alizadeh, Mohammad Reza Kavianpour, Kwok‐wing Chau, S. Shamshirband, Jason E. Adolf and Rooh ul Amin and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Remote Sensing and Water Resources Management.

In The Last Decade

Malihe Danesh

9 papers receiving 461 citations

Peers

Malihe Danesh

AI

EEE

RESE

WST

EE

Victor H. Quej Mexico

Ahmet Öztopal Türkiye

Mohsen Zabihi Iran

Paweł B. Dąbek Poland

Cihan Mert Georgia

Husain Alsamamra Palestinian Territory

Ming Xie China

Yusuf Essam Malaysia

Laurent Dubus France

Roozbeh Moazenzadeh Iran

Victor H. Quej Mexico

Malihe Danesh

343 ×1.6

AI

159 ×0.9

EEE

217 ×1.6

RESE

125 ×1.0

WST

123 ×1.1

EE

Citations per year, relative to Malihe Danesh Malihe Danesh (= 1×) peers Victor H. Quej

Countries citing papers authored by Malihe Danesh

Since Specialization

Citations

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

Fields of papers citing papers by Malihe Danesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malihe Danesh

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

All Works

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13 of 13 papers shown

1.

Danesh, Malihe, et al.. (2024). A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting. Water Resources Management. 39(4). 1911–1930. 15 indexed citations

2.

Danesh, Malihe, et al.. (2023). A survey of clustering large probabilistic graphs: Techniques, evaluations, and applications. Expert Systems. 40(6).

3.

Danesh, Malihe, et al.. (2022). DGCU: A new deep directed method based on Gaussian embedding for clustering uncertain graphs. Computers & Electrical Engineering. 101. 108066–108066. 3 indexed citations

4.

Danesh, Malihe, et al.. (2020). Ensemble-based clustering of large probabilistic graphs using neighborhood and distance metric learning. The Journal of Supercomputing. 77(4). 4107–4134. 6 indexed citations

5.

Danesh, Malihe, et al.. (2019). A NOVEL USER PROFILE-BASED FUZZY APPROACH FOR EVALUATING TRUST IN SEMANTIC WEB. IIUM Engineering Journal. 20(1). 158–176. 3 indexed citations

6.

Alizadeh, Mohamad Javad, Mohammad Reza Kavianpour, Malihe Danesh, et al.. (2018). Effect of river flow on the quality of estuarine and coastal waters using machine learning models. Engineering Applications of Computational Fluid Mechanics. 12(1). 810–823. 184 indexed citations

7.

Danesh, Malihe, et al.. (2017). A novel hybrid knowledge of firefly and pso swarm intelligence algorithms for efficient data clustering. Journal of Intelligent & Fuzzy Systems. 33(6). 3529–3538. 8 indexed citations

8.

Hossain, Monowar, Saad Mekhilef, Malihe Danesh, Lanre Olatomiwa, & Shahaboddin Shamshirband. (2017). Application of extreme learning machine for short term output power forecasting of three grid-connected PV systems. Journal of Cleaner Production. 167. 395–405. 220 indexed citations

9.

Danesh, Malihe, et al.. (2017). A comparison of the performance of some extreme learning machine empirical models for predicting daily horizontal diffuse solar radiation in a region of southern Iran. International Journal of Remote Sensing. 38(23). 6894–6909. 26 indexed citations

10.

Danesh, Malihe, Mahmoud Naghibzadeh, & Ahad Harati. (2011). Fuzzy discrete correlation for document clustering. 59–65. 1 indexed citations

11.

Danesh, Malihe, et al.. (2011). Text Document Clustering Using Semantic Neighbors. 5(4). 136–144.

12.

Danesh, Malihe, et al.. (2010). Improving multiplication and reminder using implementation based on word and index. International Journal of the Physical Sciences. 5(8). 1290–1295.

13.

Danesh, Malihe, et al.. (2010). Improving multiplication and reminder using implementation based on word and index. 1–6.

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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