Daniel Gros

11.6k citations
311 papers · 6.7k · h-index 44

Impact in

Papers in

Daniel Gros

272 papers receiving 5.9k citations

Peers

Daniel Gros
Comparison fields: 5 of 190
  • General Economics, Econometrics and Finance 1.1k
  • Finance 1.2k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Molecular Biology 3.3k
  • Economics and Econometrics 1.1k
Replace Alessandro Vercelli with:
Alessandro Vercelli Italy
John Allen United States
Fred H. Allen United States
Peter Cain United Kingdom
Jeffrey B. Miller United States
Heinrich W. Ursprung Germany
Louis B. Schwartz United States
R. W. Davies United Kingdom
Robert E. Scott United States
William R. Thompson United States
Daniel Gros relative to Alessandro Vercelli Italy Alessandro Vercelli's profile →
Citations per field
00.5×5×10×13.0×
Alessandro Vercelli · 1×
Citations per year

Countries citing papers authored by Daniel Gros

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Gros, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Gros Line = papers co-authored together Daniel Gros links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 311 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991330
2 1993208
3 1997200
4 1994194
5 1992192
6 2005185
7 1991181
8 1993176
9 2004171
10 1981154
11 2016145
12 1995143
13 1998116
14 2017114
15 1995113
16 1987104
17 1997100
18 1996100
19 199097
20 199297

About Daniel Gros

Daniel Gros is a scholar working on Finance, General Economics, Econometrics and Finance, Economics and Econometrics, Political Science and International Relations and Cardiology and Cardiovascular Medicine, having authored 311 papers that have together received 6.7k indexed citations. Recurring topics across this work include Global Financial Crisis and Policies (90 papers), European Monetary and Fiscal Policies (50 papers), Connexins and lens biology (50 papers), Monetary Policy and Economic Impact (47 papers), Fiscal Policies and Political Economy (33 papers), Regional Development and Policy (26 papers), Economic Theory and Policy (26 papers) and Cardiac electrophysiology and arrhythmias (20 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.1k citations), Finance (1.2k citations), Cardiology and Cardiovascular Medicine (1.4k citations), Molecular Biology (3.3k citations) and Economics and Econometrics (1.1k citations). Daniel Gros has collaborated with scholars based in Belgium, Germany and France. Frequent co-authors include Ansgar Hubertus Belke, Habo J. Jongsma, Jean‐Paul Briand, T. Jarry‐Guichard, Antoon F.M. Moorman, Joseph Schrével, Klaus Willecke, Alfred Steinherr, A. El Aoumari and Wouter H. Lamers. Their work appears in journals such as Intereconomics, JCMS Journal of Common Market Studies, Circulation Research, Journal of Cell Science and Journal of Molecular and Cellular Cardiology.

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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