Daniel Ralph

3.6k total citations · 1 hit paper
48 papers, 2.6k citations indexed

About

Daniel Ralph is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Daniel Ralph has authored 48 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Numerical Analysis, 23 papers in Computational Theory and Mathematics and 13 papers in Control and Systems Engineering. Recurrent topics in Daniel Ralph's work include Advanced Optimization Algorithms Research (23 papers), Optimization and Variational Analysis (21 papers) and Advanced Control Systems Optimization (6 papers). Daniel Ralph is often cited by papers focused on Advanced Optimization Algorithms Research (23 papers), Optimization and Variational Analysis (21 papers) and Advanced Control Systems Optimization (6 papers). Daniel Ralph collaborates with scholars based in United Kingdom, Australia and United States. Daniel Ralph's co-authors include Jong‐Shi Pang, Zhi‐Quan Luo, Houyuan Jiang, Stephen J. Wright, Marimuthu Palaniswami, Alistair Shilton, Stephan Dempe, Ah Chung Tsoi, Chris Manzie and Huifu Xu and has published in prestigious journals such as Management Science, Journal of Financial and Quantitative Analysis and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Daniel Ralph

47 papers receiving 2.3k citations

Hit Papers

Mathematical Programs with Equilibrium Constraints 1996 2026 2006 2016 1996 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ralph United Kingdom 21 1.3k 1.1k 965 264 252 48 2.6k
Stephan Dempe Germany 26 1.9k 1.5× 973 0.9× 1.4k 1.5× 481 1.8× 331 1.3× 109 3.4k
Romesh Saigal United States 23 989 0.8× 896 0.8× 387 0.4× 146 0.6× 305 1.2× 70 2.2k
Frank Plastria Belgium 24 566 0.4× 378 0.3× 466 0.5× 284 1.1× 283 1.1× 123 3.4k
Gérard Cornuéjols United States 36 2.6k 2.0× 773 0.7× 780 0.8× 586 2.2× 798 3.2× 147 6.2k
James E. Falk United States 16 965 0.7× 900 0.8× 869 0.9× 352 1.3× 120 0.5× 52 2.1k
Jean-Philippe Vial Switzerland 21 915 0.7× 848 0.8× 448 0.5× 388 1.5× 172 0.7× 60 2.2k
Jacques A. Ferland Canada 29 748 0.6× 526 0.5× 751 0.8× 703 2.7× 395 1.6× 96 2.8k
Mohit Tawarmalani United States 28 1.1k 0.8× 1.4k 1.2× 2.0k 2.1× 325 1.2× 371 1.5× 83 4.0k
François Margot United States 19 488 0.4× 456 0.4× 586 0.6× 237 0.9× 371 1.5× 44 2.0k
Roy E. Marsten United States 24 658 0.5× 699 0.6× 545 0.6× 334 1.3× 551 2.2× 33 2.7k

Countries citing papers authored by Daniel Ralph

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ralph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ralph

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ralph. A scholar is included among the top collaborators of Daniel Ralph 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 Daniel Ralph. Daniel Ralph 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.
Kelly, Scott, et al.. (2015). Stress test scenario : eurozone meltdown. Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences).
2.
Eberhard, Andrew, Daniel Ralph, & Jean-Pierre Crouzeix. (2012). A Constructive Proof of the Existence of a Utility in Revealed Preference Theory. Mathematics of Operations Research. 1–31. 1 indexed citations
3.
Ralph, Daniel & Yves Smeers. (2011). Pricing Risk Under Risk Measures: An Introduction to Stochastic-Endogenous Equilibria. SSRN Electronic Journal. 15 indexed citations
4.
Ralph, Daniel, et al.. (2007). Value of RFID in remanufacturing. International Journal of Services Operations and Informatics. 2(3). 225–225. 14 indexed citations
5.
Ralph, Daniel, et al.. (2007). Foreword: Special issue on nonlinear programming, variational inequalities, and stochastic programming. Mathematical Programming. 117(1-2). 1–4. 2 indexed citations
6.
Giallombardo, Giovanni & Daniel Ralph. (2006). Multiplier convergence in trust-region methods with application to convergence of decomposition methods for MPECs. Mathematical Programming. 112(2). 335–369. 11 indexed citations
7.
Shilton, Alistair, Marimuthu Palaniswami, Daniel Ralph, & Ah Chung Tsoi. (2005). Incremental Training of Support Vector Machines. IEEE Transactions on Neural Networks. 16(1). 114–131. 141 indexed citations
8.
Sun, Jie, et al.. (2005). A note on the Lipschitz continuity of the gradient of the squared norm of the matrix-valued Fischer-Burmeister function. Mathematical Programming. 107(3). 547–553. 9 indexed citations
9.
Churilov, Leonid, Immanuel M. Bomze, Moshe Sniedovich, & Daniel Ralph. (2004). HYPER SENSITIVITY ANALYSIS OF PORTFOLIO OPTIMIZATION PROBLEMS. Asia Pacific Journal of Operational Research. 21(3). 297–317. 2 indexed citations
10.
Jiang, Houyuan & Daniel Ralph. (2003). Extension of Quasi-Newton Methods to Mathematical Programs with Complementarity Constraints. Computational Optimization and Applications. 25(1-3). 123–150. 30 indexed citations
11.
Ralph, Daniel. (2002). A stable homotopy approach to horizontal linear complementarity problems. Control and Cybernetics. 31(3). 575–599. 11 indexed citations
12.
Palaniswami, Marimuthu, et al.. (2002). Effects of moving the centers in an RBF network. IEEE Transactions on Neural Networks. 13(6). 30 indexed citations
13.
Palaniswami, Marimuthu, et al.. (2002). Effects of moving the center's in an RBF network. IEEE Transactions on Neural Networks. 13(6). 1299–1307. 52 indexed citations
14.
Ralph, Daniel. (2002). 3G and beyond - the applications generation. 2002. 433–438. 6 indexed citations
15.
Hu, Xinmin & Daniel Ralph. (2002). A note on sensitivity of value functions of mathematical programs with complementarity constraints. Mathematical Programming. 93(2). 265–279. 22 indexed citations
16.
Manzie, Chris, Marimuthu Palaniswami, Daniel Ralph, Harry Watson, & Yi Xiao. (2002). Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer. Journal of Dynamic Systems Measurement and Control. 124(4). 648–658. 61 indexed citations
17.
Palaniswami, Marimuthu, Alistair Shilton, Daniel Ralph, & Brendan Owen. (2000). Machine learning using support vector machines. Minerva Access (University of Melbourne). 24 indexed citations
18.
Ralph, Daniel & Stephen J. Wright. (2000). Superlinear Convergence of an Interior-Point Method Despite Dependent Constraints. Mathematics of Operations Research. 25(2). 179–194. 22 indexed citations
19.
Eberhard, Andrew, Robin Hill, Daniel Ralph, & B. M. Glover. (1999). Progress in Optimization. CERN Document Server (European Organization for Nuclear Research). 22 indexed citations
20.
Ralph, Daniel. (1994). Global Convergence of Damped Newton's Method for Nonsmooth Equations via the Path Search. Mathematics of Operations Research. 19(2). 352–389. 87 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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