M.F. Tenorio

697 total citations
38 papers, 487 citations indexed

About

M.F. Tenorio is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, M.F. Tenorio has authored 38 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 10 papers in Signal Processing and 7 papers in Control and Systems Engineering. Recurrent topics in M.F. Tenorio's work include Neural Networks and Applications (27 papers), Time Series Analysis and Forecasting (5 papers) and Neural Networks and Reservoir Computing (4 papers). M.F. Tenorio is often cited by papers focused on Neural Networks and Applications (27 papers), Time Series Analysis and Forecasting (5 papers) and Neural Networks and Reservoir Computing (4 papers). M.F. Tenorio collaborates with scholars based in United States and Brazil. M.F. Tenorio's co-authors include R. Shoureshi, Dan Moldovan, Gintaras V. Reklaitis, Timothy Masters, Ghobad Heidari-Bateni, C.D. McGillem, Wynne Hsu, Frank P. Kuhl, Dominick Andrisani and Jun Lü and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and Neural Networks.

In The Last Decade

M.F. Tenorio

32 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.F. Tenorio United States	10	337	225	55	53	43	38	487
S. Ōmatu Japan	9	126 0.4×	225 1.0×	32 0.6×	37 0.7×	49 1.1×	41	432
Zhanlue Zhao United States	12	498 1.5×	218 1.0×	30 0.5×	92 1.7×	29 0.7×	21	651
K.H. Chan United States	5	321 1.0×	96 0.4×	44 0.8×	45 0.8×	141 3.3×	6	504
Anthony Zaknich Australia	12	242 0.7×	102 0.5×	84 1.5×	80 1.5×	64 1.5×	58	494
W. Ahmed United States	6	302 0.9×	94 0.4×	46 0.8×	53 1.0×	134 3.1×	15	482
Mark J. L. Orr United Kingdom	6	193 0.6×	103 0.5×	25 0.5×	29 0.5×	80 1.9×	10	396
Venkatesh Rajagopalan United States	8	151 0.4×	195 0.9×	86 1.6×	93 1.8×	19 0.4×	21	459
Emile Fiesler Switzerland	9	303 0.9×	73 0.3×	54 1.0×	99 1.9×	113 2.6×	37	464
Shyh-Rong Lay United States	4	277 0.8×	53 0.2×	63 1.1×	33 0.6×	108 2.5×	8	420
Niranjan Subrahmanya United States	13	283 0.8×	135 0.6×	107 1.9×	67 1.3×	79 1.8×	22	551

Countries citing papers authored by M.F. Tenorio

Since Specialization

Citations

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

Fields of papers citing papers by M.F. Tenorio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.F. Tenorio

This figure shows the co-authorship network connecting the top 25 collaborators of M.F. Tenorio. A scholar is included among the top collaborators of M.F. Tenorio 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.F. Tenorio. M.F. Tenorio 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

Tenorio, M.F., et al.. (2002). On optimal adaptive classifier design criterion. ii. 385–390.

Hsu, Wynne, et al.. (2002). A ClusNet architecture for prediction. IEEE International Conference on Neural Networks. 329–334. 2 indexed citations

Tenorio, M.F., et al.. (1995). A neural computation model with short-term memory. IEEE Transactions on Neural Networks. 6(2). 387–397. 9 indexed citations

Hsu, Wynne, et al.. (1993). Parameter significance estimation and financial prediction. Neural Computing and Applications. 1(4). 280–286. 1 indexed citations

Tenorio, M.F., et al.. (1993). On an asymptotically optimal adaptive classifier design criterion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 15(3). 312–318. 1 indexed citations

Hsu, Wynne, et al.. (1993). THE CLUSNET ALGORITHM AND TIME SERIES PREDICTION. International Journal of Neural Systems. 4(3). 247–255. 2 indexed citations

Tenorio, M.F., et al.. (1992). Neural network error corrector for binary messages on hydro-acoustic channels. IEEE Journal of Oceanic Engineering. 17(4). 369–375. 2 indexed citations

Tenorio, M.F., et al.. (1991). On Optimal Adaptive Classifier Design Criterion- How many hidden units are necessary for an optimal neural network classifier?. Purdue e-Pubs (Purdue University System). 2 indexed citations

Shoureshi, R., et al.. (1990). Neural networks for system identification. IEEE Control Systems Magazine. 10(3). 31–35. 163 indexed citations

10.

Andrisani, Dominick, M.F. Tenorio, Jun Lü, & Frank P. Kuhl. (1990). A Hierarchical Target Tracker Using Image Data. 1004–1008. 3 indexed citations

11.

Tenorio, M.F., et al.. (1990). Adaptive Networks as a Model for Human Speech Development-Cluster Plots. Purdue e-Pubs (Purdue University System).

12.

Reklaitis, G. V., et al.. (1990). Computational Properties of Generalized Hopfield Networks Applied to Nonlinear Optimization. Purdue e-Pubs (Purdue University System).

13.

Tenorio, M.F., et al.. (1990). Self-organizing network for optimum supervised learning. IEEE Transactions on Neural Networks. 1(1). 100–110. 66 indexed citations

14.

Tenorio, M.F., et al.. (1989). The Cocktail Party Problem: Speech/Data Signal Separation Comparison between Backpropagation and SONN. Neural Information Processing Systems. 2. 542–549. 4 indexed citations

15.

Reklaitis, Gintaras V., et al.. (1989). Generalized Hopfield Networks and Nonlinear Optimization. Neural Information Processing Systems. 2. 355–362. 6 indexed citations

16.

Shoureshi, R., et al.. (1989). Neural Networks for System Identification. 916–921. 86 indexed citations

17.

Tenorio, M.F., et al.. (1989). Self-Organizing Neural Network for Optimum Supervised Learning. Purdue e-Pubs (Purdue University System). 9 indexed citations

18.

Tenorio, M.F., et al.. (1988). Self Organizing Neural Networks for the Identification Problem. Neural Information Processing Systems. 1. 57–64. 25 indexed citations

19.

Tenorio, M.F., et al.. (1988). Applications of Simple Markov Models to Computer Vision. Purdue e-Pubs (Purdue University System).

20.

Tenorio, M.F. & Dan Moldovan. (1985). Mapping Production Systems into Multiprocessors.. Proceedings of the International Conference on Parallel Processing. 56–62. 24 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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