M.T. Musavi

1.7k total citations
70 papers, 1.2k citations indexed

About

M.T. Musavi is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M.T. Musavi has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 23 papers in Control and Systems Engineering and 20 papers in Electrical and Electronic Engineering. Recurrent topics in M.T. Musavi's work include Neural Networks and Applications (19 papers), Power System Optimization and Stability (13 papers) and Gene expression and cancer classification (11 papers). M.T. Musavi is often cited by papers focused on Neural Networks and Applications (19 papers), Power System Optimization and Stability (13 papers) and Gene expression and cancer classification (11 papers). M.T. Musavi collaborates with scholars based in United States and Australia. M.T. Musavi's co-authors include D.M. Hummels, K.H. Chan, W. Ahmed, N. Narasimhamurthi, Mukul V. Shirvaikar, Peter Doucette, Peggy Agouris, Anthony Stefanidis, Yifeng Zhu and Habtom W. Ressom and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Power Systems.

In The Last Decade

M.T. Musavi

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.T. Musavi United States 15 483 286 273 270 133 70 1.2k
Antônio P. Braga Brazil 20 891 1.8× 281 1.0× 306 1.1× 321 1.2× 35 0.3× 134 1.9k
Li Jiang China 21 337 0.7× 240 0.8× 185 0.7× 585 2.2× 71 0.5× 75 1.8k
Genevieve Orr United States 8 777 1.6× 182 0.6× 550 2.0× 98 0.4× 54 0.4× 26 1.7k
Shen-Shyang Ho United States 20 744 1.5× 458 1.6× 358 1.3× 136 0.5× 225 1.7× 74 2.7k
John Berkowitz United States 3 519 1.1× 238 0.8× 254 0.9× 128 0.5× 36 0.3× 3 1.4k
Keshu Zhang United States 15 512 1.1× 133 0.5× 336 1.2× 227 0.8× 43 0.3× 43 1.0k
Věra Kůrková Czechia 21 937 1.9× 136 0.5× 315 1.2× 340 1.3× 62 0.5× 66 1.7k
Manel Martínez‐Ramón United States 25 599 1.2× 508 1.8× 242 0.9× 245 0.9× 46 0.3× 105 2.1k

Countries citing papers authored by M.T. Musavi

Since Specialization
Citations

This map shows the geographic impact of M.T. Musavi'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 M.T. Musavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Musavi more than expected).

Fields of papers citing papers by M.T. Musavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.T. Musavi. 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 M.T. Musavi. The network helps show where M.T. Musavi may publish in the future.

Co-authorship network of co-authors of M.T. Musavi

This figure shows the co-authorship network connecting the top 25 collaborators of M.T. Musavi. A scholar is included among the top collaborators of M.T. Musavi 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 M.T. Musavi. M.T. Musavi 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.
Pugh, K.R., et al.. (2023). Neural nets for sustainability conversations: modeling discussion disciplines and their impacts. Neural Computing and Applications. 35(29). 21935–21947. 3 indexed citations
2.
Musavi, M.T., et al.. (2018). Changing the face of STEM with stormwater research. International Journal of STEM Education. 5(1). 2–2. 25 indexed citations
3.
Musavi, M.T., et al.. (2016). Transient stability performance quantification method for power system applications. 5. 1–6. 2 indexed citations
4.
Wu, Yunhui, et al.. (2015). Monitoring power system transient stability using synchrophasor data. 1–5. 2 indexed citations
5.
6.
Musavi, M.T., et al.. (2012). Impact of weather conditions on steady state and dynamic response of power system. 207. 1–5. 2 indexed citations
7.
Zhu, Yifeng, et al.. (2007). Comparison of MLP neural network and Kalman filter for localization in wireless sensor networks. 323–330. 17 indexed citations
8.
Ressom, Habtom W., et al.. (2005). Neural network based light attenuation model for monitoring seagrass health. 3. 2489–2493. 2 indexed citations
9.
Musavi, M.T., et al.. (2005). Application of neural networks for chromosome classification. 239–240. 6 indexed citations
10.
Ressom, Habtom W., et al.. (2004). Applications of fuzzy logic in genomics. Fuzzy Sets and Systems. 152(1). 125–138. 9 indexed citations
11.
Ressom, Habtom W., et al.. (2004). Neural network-based estimation of light attenuation coefficient. 1. 590–595. 1 indexed citations
12.
Musavi, M.T., et al.. (2003). Map processing methods: an automated alternative. 55. 300–303. 3 indexed citations
13.
Musavi, M.T., et al.. (2003). A neuro-fuzzy system for prediction of pulp digester K-number. 6. 4253–4258. 5 indexed citations
14.
Wang, Dali, et al.. (2002). Double Self-Organizing Maps to Cluster Gene Expression Data. The European Symposium on Artificial Neural Networks. 45–50. 13 indexed citations
15.
Ressom, Habtom W., et al.. (2002). Improving Robustness of Fuzzy Gene Modeling. The European Symposium on Artificial Neural Networks. 51–56. 2 indexed citations
16.
Fern, Alan, et al.. (2002). Automatic extraction of drainage networks from digital terrain elevation data: a local network approach. Proceedings of International Conference on Neural Networks (ICNN'97). 3. 1512–1517.
17.
Musavi, M.T., et al.. (2000). Cross-talk filtering in four dye fluorescence-based DNA sequencing. Electrophoresis. 21(14). 2983–2989. 2 indexed citations
18.
Musavi, M.T., et al.. (1998). Mouse chromosome classification by radial basis function network with fast orthogonal search. Neural Networks. 11(4). 769–777. 11 indexed citations
19.
Hummels, D.M., W. Ahmed, & M.T. Musavi. (1995). Adaptive detection of small sinusoidal signals in non-Gaussian noise using an RBF neural network. IEEE Transactions on Neural Networks. 6(1). 214–219. 14 indexed citations
20.
Musavi, M.T., et al.. (1994). Classification of chromosomes using a probabilistic neural network. Cytometry. 16(1). 17–24. 46 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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