Kamal Berahmand

3.9k total citations · 1 hit paper
54 papers, 2.5k citations indexed

About

Kamal Berahmand is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kamal Berahmand has authored 54 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 23 papers in Statistical and Nonlinear Physics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kamal Berahmand's work include Complex Network Analysis Techniques (23 papers), Advanced Graph Neural Networks (15 papers) and Face and Expression Recognition (10 papers). Kamal Berahmand is often cited by papers focused on Complex Network Analysis Techniques (23 papers), Advanced Graph Neural Networks (15 papers) and Face and Expression Recognition (10 papers). Kamal Berahmand collaborates with scholars based in Australia, Iran and Finland. Kamal Berahmand's co-authors include Mehrdad Rostami, Saman Forouzandeh, Yuefeng Li, Elahe Nasiri, Asgarali Bouyer, Yue Xu, Mourad Oussalah, Razieh Sheikhpour, Negin Samadi and Mehrnoush Mohammadi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

Kamal Berahmand

50 papers receiving 2.4k 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.

Autoencoders and their applications in machine learning: a survey

2024 192 citations Kamal Berahmand, Fatemeh Daneshfar et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kamal Berahmand Australia	33	1.2k	927	447	419	340	54	2.5k
Clara Pizzuti Italy	27	1.3k 1.0×	1.1k 1.2×	271 0.6×	395 0.9×	488 1.4×	99	2.6k
Usha Nandini Raghavan United States	9	778 0.6×	1.7k 1.8×	228 0.5×	295 0.7×	598 1.8×	11	2.8k
Xiaofeng He China	22	1.4k 1.1×	447 0.5×	847 1.9×	324 0.8×	223 0.7×	92	2.6k
Danai Koutra United States	22	2.0k 1.6×	1.2k 1.3×	592 1.3×	291 0.7×	793 2.3×	93	3.0k
Chuxu Zhang United States	21	2.1k 1.7×	715 0.8×	421 0.9×	187 0.4×	498 1.5×	79	3.2k
Lijia Ma China	25	815 0.7×	1.2k 1.3×	178 0.4×	511 1.2×	336 1.0×	81	2.5k
Parham Moradi Iran	28	1.9k 1.6×	423 0.5×	941 2.1×	397 0.9×	389 1.1×	108	3.2k
Nesreen K. Ahmed United States	25	2.1k 1.7×	1.8k 2.0×	754 1.7×	398 0.9×	640 1.9×	77	3.9k
Satu Elisa Schaeffer Mexico	9	526 0.4×	642 0.7×	235 0.5×	150 0.4×	288 0.8×	32	1.4k
Jean-Michel Renders France	13	817 0.7×	424 0.5×	300 0.7×	146 0.3×	160 0.5×	54	1.7k

Countries citing papers authored by Kamal Berahmand

Since Specialization

Citations

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

Fields of papers citing papers by Kamal Berahmand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal Berahmand

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

All Works

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20 of 20 papers shown

Ahmadian, Sajad, Kamal Berahmand, Mehrdad Rostami, et al.. (2025). Recommender Systems Based on Nonnegative Matrix Factorization: A Survey. IEEE Transactions on Artificial Intelligence. 6(10). 2554–2574. 7 indexed citations

Mohammadi, Mehrnoush, Kamal Berahmand, Saman Forouzandeh, Xujuan Zhou, & Hassan Khosravi. (2025). Dual-view entropy-regularized nonnegative matrix factorization for attributed graph clustering. Information Sciences. 721. 122566–122566. 2 indexed citations

Berahmand, Kamal, et al.. (2025). A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges. ACM Transactions on Intelligent Systems and Technology. 16(6). 1–34.

Sheikhpour, Razieh, Kamal Berahmand, Mehrnoush Mohammadi, & Hassan Khosravi. (2024). Sparse feature selection using hypergraph Laplacian-based semi-supervised discriminant analysis. Pattern Recognition. 157. 110882–110882. 35 indexed citations

Berahmand, Kamal, et al.. (2024). Autoencoders and their applications in machine learning: a survey. Artificial Intelligence Review. 57(2). 192 indexed citations breakdown →

Forouzandeh, Saman, et al.. (2024). UIFRS-HAN: User interests-aware food recommender system based on the heterogeneous attention network. Engineering Applications of Artificial Intelligence. 135. 108766–108766. 11 indexed citations

Rostami, Mehrdad, Kamal Berahmand, Saman Forouzandeh, et al.. (2024). A novel healthy food recommendation to user groups based on a deep social community detection approach. Neurocomputing. 576. 127326–127326. 18 indexed citations

Sheikhpour, Razieh, Mehrnoush Mohammadi, Kamal Berahmand, Farid Saberi-Movahed, & Hassan Khosravi. (2024). Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning. Information Sciences. 699. 121800–121800. 13 indexed citations

Forouzandeh, Saman, Mehrdad Rostami, Kamal Berahmand, & Razieh Sheikhpour. (2023). Health-aware food recommendation system with dual attention in heterogeneous graphs. Computers in Biology and Medicine. 169. 107882–107882. 23 indexed citations

10.

Rostami, Mehrdad, Mourad Oussalah, Kamal Berahmand, & Vahid Farrahi. (2023). Community Detection Algorithms in Healthcare Applications: A Systematic Review. IEEE Access. 11. 30247–30272. 72 indexed citations

11.

Olsson, Tobias, et al.. (2023). MapReduce scheduling algorithms in Hadoop: a systematic study. Journal of Cloud Computing Advances Systems and Applications. 12(1). 10 indexed citations

12.

Forouzandeh, Saman, Kamal Berahmand, Razieh Sheikhpour, & Yuefeng Li. (2023). A new method for recommendation based on embedding spectral clustering in heterogeneous networks (RESCHet). Expert Systems with Applications. 231. 120699–120699. 42 indexed citations

13.

Rostami, Mehrdad, Usman Muhammad, Saman Forouzandeh, et al.. (2022). An effective explainable food recommendation using deep image clustering and community detection. Intelligent Systems with Applications. 16. 200157–200157. 31 indexed citations

14.

Berahmand, Kamal, Mehrnoush Mohammadi, Farid Saberi-Movahed, Yuefeng Li, & Yue Xu. (2022). Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks. IEEE Transactions on Network Science and Engineering. 10(1). 372–385. 73 indexed citations

15.

Saberi-Movahed, Farid, Mehrdad Rostami, Kamal Berahmand, et al.. (2022). Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection. Knowledge-Based Systems. 256. 109884–109884. 66 indexed citations

16.

Rostami, Mehrdad, et al.. (2022). Graph-based relevancy-redundancy gene selection method for cancer diagnosis. Computers in Biology and Medicine. 147. 105766–105766. 72 indexed citations

17.

Nasiri, Elahe, et al.. (2021). A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding. Computers in Biology and Medicine. 137. 104772–104772. 101 indexed citations

18.

Rostami, Mehrdad, Kamal Berahmand, & Saman Forouzandeh. (2020). A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty. Journal Of Big Data. 7(1). 48 indexed citations

19.

Forouzandeh, Saman, Kamal Berahmand, Elahe Nasiri, & Mehrdad Rostami. (2020). A Hotel Recommender System for Tourists Using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: A Case Study of TripAdvisor. International Journal of Information Technology & Decision Making. 20(1). 399–429. 39 indexed citations

20.

Rostami, Mehrdad, et al.. (2020). Integration of multi-objective PSO based feature selection and node centrality for medical datasets. Genomics. 112(6). 4370–4384. 133 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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