Daniel Hernández–Hernández

44 papers receiving 677 citations

Peers

Daniel Hernández–Hernández
Comparison fields: 5 of 52
  • Finance 382
  • Management Science and Operations Research 373
  • Economics and Econometrics 272
  • Control and Systems Engineering 143
  • Artificial Intelligence 143
Replace Giovanni B. Di Masi with:
Giovanni B. Di Masi Italy
X.Y. Zhou Hong Kong
Manfred Schäl Germany
Huyên Pham France
Rolando Cavazos–Cadena Mexico
Michael Kupper Germany
Petter N. Kolm United States
Shaolin Ji China
Bruno Bouchard France
Dieter Denneberg Germany
Daniel Hernández–Hernández relative to Giovanni B. Di Masi Italy Giovanni B. Di Masi's profile →
Citations per field
00.5×1.5×2.2×
Giovanni B. Di Masi · 1×
Citations per year

Countries citing papers authored by Daniel Hernández–Hernández

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hernández–Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hernández–Hernández

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hernández–Hernández. A scholar is included among the top collaborators of Daniel Hernández–Hernández 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 Hernández–Hernández. Daniel Hernández–Hernández 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
#WorkIndexed citations
1 1
2 0
3 0
4 8
5 1
6 1
7 6
8 11
9 6
10
Nash Equilibria in a class of Markov stopping games
4
11 24
12 0
13 11
14 46
15 41
16
A CHARACTERIZATION OF THE OPTIMAL RISK-SENSITIVE AVERAGE COST IN FINITE CONTROLLED MARKOV CHAINS 1
15
17 36
18 49
19 13
20
LINEAR PROGRAMMING AND INFINITE HORIZON PROBLEMS OF DETERMINISTIC CONTROL THEORY
0

About Daniel Hernández–Hernández

Daniel Hernández–Hernández is a scholar working on Finance, Management Science and Operations Research and Numerical Analysis, having authored 50 papers that have together received 755 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Economic theories and models (15 papers) and Risk and Portfolio Optimization (12 papers). The work is most often cited by research in Finance (382 citations), Management Science and Operations Research (373 citations) and General Decision Sciences (31 citations). Daniel Hernández–Hernández has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Wendell H. Fleming, Rolando Cavazos–Cadena, Steven I. Marcus, Alexander Schied, Onésimo Hernández–Lerma, Tomasz R. Bielecki, Stanley R. Pliska, Michael Taksar, Kazutoshi Yamazaki and José Luis Pérez. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Mathematical Analysis and Applications and Systems & Control Letters.

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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