Eghbal G. Mansoori

810 total citations
50 papers, 571 citations indexed

About

Eghbal G. Mansoori is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Eghbal G. Mansoori has authored 50 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 15 papers in Molecular Biology. Recurrent topics in Eghbal G. Mansoori's work include Face and Expression Recognition (16 papers), Gene expression and cancer classification (10 papers) and Fuzzy Logic and Control Systems (9 papers). Eghbal G. Mansoori is often cited by papers focused on Face and Expression Recognition (16 papers), Gene expression and cancer classification (10 papers) and Fuzzy Logic and Control Systems (9 papers). Eghbal G. Mansoori collaborates with scholars based in Iran and Finland. Eghbal G. Mansoori's co-authors include Mansoor Zolghadri Jahromi, S.D. Katebi, Reza Boostani, Hassan Mohabatkar, Hamed R. Tavakoli, Ali Borji, Nozar Samani, Mohammad Hadi Sadreddini, Mehdi Kheradmandfard and Mehdi Javidi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Eghbal G. Mansoori

46 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eghbal G. Mansoori Iran 12 356 120 106 104 74 50 571
Xuewen Chen United States 8 357 1.0× 99 0.8× 71 0.7× 37 0.4× 65 0.9× 19 507
Jin-Seon Lee South Korea 4 469 1.3× 227 1.9× 106 1.0× 123 1.2× 66 0.9× 10 760
Omar Saber Qasim Iraq 10 260 0.7× 91 0.8× 64 0.6× 58 0.6× 23 0.3× 42 417
Debrup Chakraborty India 10 398 1.1× 131 1.1× 24 0.2× 141 1.4× 40 0.5× 27 505
Eddy Mayoraz Switzerland 8 287 0.8× 252 2.1× 46 0.4× 97 0.9× 138 1.9× 24 673
Yanpeng Qu China 13 248 0.7× 109 0.9× 24 0.2× 68 0.7× 72 1.0× 49 388
Hakan Altınçay Cyprus 14 348 1.0× 85 0.7× 28 0.3× 43 0.4× 110 1.5× 40 472
Shangzhu Jin China 12 228 0.6× 142 1.2× 21 0.2× 87 0.8× 43 0.6× 57 427
Hossein Karshenas Iran 9 248 0.7× 52 0.4× 42 0.4× 126 1.2× 29 0.4× 25 396
Jianyong Sun United Kingdom 11 311 0.9× 35 0.3× 92 0.9× 163 1.6× 18 0.2× 23 534

Countries citing papers authored by Eghbal G. Mansoori

Since Specialization
Citations

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

Fields of papers citing papers by Eghbal G. Mansoori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eghbal G. Mansoori. 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 Eghbal G. Mansoori. The network helps show where Eghbal G. Mansoori may publish in the future.

Co-authorship network of co-authors of Eghbal G. Mansoori

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

All Works

20 of 20 papers shown
1.
Mansoori, Eghbal G., et al.. (2024). Deep and wide nonnegative matrix factorization with embedded regularization. Pattern Recognition. 153. 110530–110530. 4 indexed citations
2.
Mansoori, Eghbal G., et al.. (2024). MoVAE: Multi-Omics Variational Auto-Encoder for Cancer Subtype Detection. IEEE Access. 12. 133617–133631. 2 indexed citations
3.
Mansoori, Eghbal G., et al.. (2023). Improving Regularization in Deep Neural Networks by Co-adaptation Trace Detection. Neural Processing Letters. 55(6). 7985–7997. 5 indexed citations
4.
5.
Mansoori, Eghbal G., et al.. (2021). Unsupervised fuzzy multivariate symmetric uncertainty feature selection based on constructing virtual cluster representative. Fuzzy Sets and Systems. 438. 148–163. 5 indexed citations
6.
Jahromi, Mansoor Zolghadri, et al.. (2021). Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning. Journal of Computer-Aided Molecular Design. 35(8). 883–900. 7 indexed citations
7.
Mansoori, Eghbal G., et al.. (2020). Exploiting object features in deep gaze prediction models. Journal of Visual Communication and Image Representation. 73. 102931–102931. 1 indexed citations
8.
Mansoori, Eghbal G., et al.. (2020). Extreme ensemble of extreme learning machines. Statistical Analysis and Data Mining The ASA Data Science Journal. 14(2). 116–128. 6 indexed citations
9.
Mansoori, Eghbal G., et al.. (2019). Developing an online general type-2 fuzzy classifier using evolving type-1 rules. International Journal of Approximate Reasoning. 113. 336–353. 20 indexed citations
10.
Mansoori, Eghbal G., et al.. (2018). Unsupervised feature selection in linked biological data. Pattern Analysis and Applications. 22(3). 999–1013. 4 indexed citations
11.
Mansoori, Eghbal G., et al.. (2018). AFCGD: an adaptive fuzzy classifier based on gradient descent. Soft Computing. 23(12). 4557–4571. 11 indexed citations
12.
Mansoori, Eghbal G., et al.. (2017). A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM. Iranian journal of fuzzy systems. 14(5). 1–18. 2 indexed citations
13.
Mansoori, Eghbal G., et al.. (2017). A new slope one based recommendation algorithm using virtual predictive items. Journal of Intelligent Information Systems. 50(3). 527–547. 11 indexed citations
14.
Mansoori, Eghbal G., et al.. (2016). Unsupervised selection of informative genes in microarray gene expression data. 3(4). 351–351.
15.
Mansoori, Eghbal G., et al.. (2016). Perceptron ensemble of graph-based positive-unlabeled learning for disease gene identification. Computational Biology and Chemistry. 64. 263–270. 17 indexed citations
16.
Samani, Nozar, et al.. (2015). An artificial neural network model for the determination of leaky confined aquifer parameters: an accurate alternative to type curve matching methods. Iranian Journal of Science and Technology (Sciences). 39(4). 463–472. 6 indexed citations
17.
Mansoori, Eghbal G., et al.. (2013). A new multi-agent algorithm for solving constraint satisfaction problems. 197–201. 2 indexed citations
18.
Mansoori, Eghbal G., Mansoor Zolghadri Jahromi, S.D. Katebi, et al.. (2008). GENERATING FUZZY RULES FOR PROTEIN CLASSIFICATION. Iranian journal of fuzzy systems. 5(2). 21–33. 14 indexed citations
19.
Mansoori, Eghbal G., Mansoor Zolghadri Jahromi, & S.D. Katebi. (2007). USING DISTRIBUTION OF DATA TO ENHANCE PERFORMANCE OF FUZZY CLASSIFICATION SYSTEMS. Iranian journal of fuzzy systems. 4(1). 21–36. 13 indexed citations
20.
Mansoori, Eghbal G., Mansoor Zolghadri Jahromi, & S.D. Katebi. (2006). A weighting function for improving fuzzy classification systems performance. Fuzzy Sets and Systems. 158(5). 583–591. 43 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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