Daniel Gabay

2.9k total citations · 1 hit paper
6 papers, 1.8k citations indexed

About

Daniel Gabay is a scholar working on Demography, Numerical Analysis and Finance. According to data from OpenAlex, Daniel Gabay has authored 6 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Demography, 2 papers in Numerical Analysis and 2 papers in Finance. Recurrent topics in Daniel Gabay's work include Insurance, Mortality, Demography, Risk Management (3 papers), Iterative Methods for Nonlinear Equations (2 papers) and Advanced Optimization Algorithms Research (2 papers). Daniel Gabay is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (3 papers), Iterative Methods for Nonlinear Equations (2 papers) and Advanced Optimization Algorithms Research (2 papers). Daniel Gabay collaborates with scholars based in France and Italy. Daniel Gabay's co-authors include Bertrand Mercier, David G. Luenberger and Martino Grasselli and has published in prestigious journals such as SIAM Journal on Control and Optimization, Computers & Mathematics with Applications and Journal of Economic Dynamics and Control.

In The Last Decade

Daniel Gabay

6 papers receiving 1.7k citations

Hit Papers

A dual algorithm for the solution of nonlinear variationa... 1976 2026 1992 2009 1976 500 1000 1.5k

Peers

Daniel Gabay
Comparison fields: 5 of 98
  • Computational Mechanics 940
  • Computer Vision and Pattern Recognition 457
  • Numerical Analysis 451
  • Computational Theory and Mathematics 423
  • Artificial Intelligence 227
Replace L.M. Bregman with:
L.M. Bregman Russia
Klaus Höllig Germany
P. Tseng United States
G. A. Watson United Kingdom
Albert Cohen France
Allan Pinkus Israel
Lars Eldén Sweden
Ming‐Jun Lai United States
I. J. Schoenberg United States
Valérie R. Wajs France
L.M. Bregman Russia View profile →
Citations per field, relative to Daniel Gabay
Daniel Gabay · 1×
Citations per year, relative to Daniel Gabay
Daniel Gabay · 1×

Countries citing papers authored by Daniel Gabay

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gabay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gabay

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 3
2 1
3 1
4 163
5
A dual algorithm for the solution of nonlinear variational problems via finite element approximation breakdown →
1616
6 21

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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