Martin Hagan

18.4k total citations · 4 hit papers
82 papers, 13.5k citations indexed

About

Martin Hagan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Martin Hagan has authored 82 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 21 papers in Control and Systems Engineering and 12 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Martin Hagan's work include Neural Networks and Applications (29 papers), Machine Learning in Materials Science (11 papers) and Model Reduction and Neural Networks (9 papers). Martin Hagan is often cited by papers focused on Neural Networks and Applications (29 papers), Machine Learning in Materials Science (11 papers) and Model Reduction and Neural Networks (9 papers). Martin Hagan collaborates with scholars based in United States, Japan and New Zealand. Martin Hagan's co-authors include Mohammad Bagher Menhaj, Howard B. Demuth, Suzanne M. Behr, Orlando De Jesús, R. Komanduri, Lionel M. Raff, M. Malshe, Paras M. Agrawal, Mark G. Rockley and R. Narulkar and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Transactions on Automatic Control and IEEE Transactions on Power Systems.

In The Last Decade

Martin Hagan

78 papers receiving 12.6k citations

Hit Papers

Training feedforward networks with the Marquardt algorithm 1994 2026 2004 2015 1994 1995 2002 2015 1000 2.0k 3.0k 4.0k 5.0k
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.

  1. Training feedforward networks with the Marquardt algorithm
    1994 6.0k citations Martin Hagan et al. IEEE Transactions on Neural Networks profile →
  2. Neural network design
    1995 4.0k citations Martin Hagan, Howard B. Demuth et al. profile →
  3. Gauss-Newton approximation to Bayesian learning
    2002 1.1k citations Martin Hagan et al. profile →
  4. Neural Network Toolbox™ User's Guide
    2015 467 citations Martin Hagan, Howard B. Demuth et al. profile →

Peers

Martin Hagan
Maxwell B. Stinchcombe United States
Mohammad Bagher Menhaj Iran
J. E. Dennis United States
Simon Haykin Canada
Tim Blackwell United Kingdom
Shahaboddin Shamshirband Iran
Carl Edward Rasmussen United Kingdom
Leandro dos Santos Coelho Brazil
Stephen J. Wright United Kingdom
Jyh‐Shing Roger Jang Taiwan
Maxwell B. Stinchcombe United States
Martin Hagan
Citations per year, relative to Martin Hagan Martin Hagan (= 1×) peers Maxwell B. Stinchcombe

Countries citing papers authored by Martin Hagan

Since Specialization
Citations

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

Fields of papers citing papers by Martin Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Hagan

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hagan. A scholar is included among the top collaborators of Martin Hagan 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 Martin Hagan. Martin Hagan 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.
Link, Stephanie, et al.. (2025). Genre-based fine-tuning of large language models with self-organizing maps for automated writing evaluation. Research Methods in Applied Linguistics. 4(3). 100219–100219. 1 indexed citations
2.
Hagan, Martin, et al.. (2023). Comparison of neural network NARX and NARMAX models for multi-step prediction using simulated and experimental data. Expert Systems with Applications. 237. 121437–121437. 14 indexed citations
3.
Hagan, Martin, et al.. (2015). Relations between local and global perceptual image quality and visual masking. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9394. 93940M–93940M. 1 indexed citations
4.
Hagan, Martin, et al.. (2015). Neural Network Toolbox™ User's Guide. 467 indexed citations breakdown →
5.
Jafari, Reza, Anthony C. Kable, & Martin Hagan. (2014). Forward and Converse Lyapunov Theorems for Discrete Dynamical Systems. IEEE Transactions on Automatic Control. 59(9). 2496–2501. 3 indexed citations
6.
Hagan, Martin, et al.. (2013). Short Term Load Forecasting Using a Neural Network Based Time Series Approach. 17–22. 12 indexed citations
7.
Hagan, Martin, et al.. (2011). Practical Training Framework for Fitting a Function and Its Derivatives. IEEE Transactions on Neural Networks. 22(6). 936–947. 12 indexed citations
8.
Nguyen, Nam Hoai & Martin Hagan. (2011). Stability analysis of layered digital dynamic networks using dissipativity theory. 1692–1699. 4 indexed citations
9.
Horn, Jason, Orlando De Jesús, & Martin Hagan. (2009). Spurious Valleys in the Error Surface of Recurrent Networks—Analysis and Avoidance. IEEE Transactions on Neural Networks. 20(4). 686–700. 21 indexed citations
10.
11.
Malshe, M., R. Narulkar, Lionel M. Raff, et al.. (2009). Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations. The Journal of Chemical Physics. 130(18). 184102–184102. 52 indexed citations
12.
Agrawal, Paras M., M. Malshe, R. Narulkar, et al.. (2009). A Self-Starting Method for Obtaining Analytic Potential-Energy Surfaces from ab Initio Electronic Structure Calculations. The Journal of Physical Chemistry A. 113(5). 869–877. 12 indexed citations
13.
Raff, Lionel M., et al.. (2005). Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks. The Journal of Chemical Physics. 122(8). 84104–84104. 132 indexed citations
14.
Winkler, C B, John M. Sullivan, Scott E. Bogard, & Martin Hagan. (2004). Observations on the lateral performance of truck drivers. 1 indexed citations
15.
Torii, Manabu & Martin Hagan. (2002). Stability of steepest descent with momentum for quadratic functions. IEEE Transactions on Neural Networks. 13(3). 752–756. 33 indexed citations
16.
Fancher, Paul S., Scott E. Bogard, Martin Hagan, R D Ervin, & Z Bareket. (2002). Data processing procedures for identifying driver/vehicle properties associated with the control of headway. 864–869. 4 indexed citations
17.
MacAdam, C C, Martin Hagan, Paul S. Fancher, et al.. (2000). Rearward amplification suppression (RAMS). Deep Blue (University of Michigan). 3 indexed citations
18.
James, Christopher J., Martin Hagan, Richard D. Jones, Philip J. Bones, & G.J. Carroll. (1997). Multireference adaptive noise canceling applied to the EEG. IEEE Transactions on Biomedical Engineering. 44(8). 775–779. 40 indexed citations
19.
Hagan, Martin, et al.. (1994). Digital control loading and motion for flight simulation. Ablex Publishing Corp. eBooks. 52–90. 2 indexed citations
20.
Hagan, Martin, et al.. (1985). Parallel Signal Processing Research on the HEP.. Proceedings of the International Conference on Parallel Processing. 599–606. 3 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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