Daniel Coronado

1.0k citations
42 papers · 712 · h-index 17

Impact in

Papers in

Daniel Coronado

38 papers receiving 656 citations

Peers

Daniel Coronado
Comparison fields: 5 of 80
  • Management of Technology and Innovation 244
  • Economics and Econometrics 455
  • Strategy and Management 231
  • Statistics, Probability and Uncertainty 52
  • Industrial and Manufacturing Engineering 71
Replace Manuel Acosta with:
Manuel Acosta Spain
Elisa Barbieri Italy
Mary Ellen Mogee United States
R.A. Boschma Netherlands
Yuandi Wang China
Thijs Verburg Netherlands
Müge Özman France
Marco R. Di Tommaso Italy
Andrea Vezzulli Italy
Caetano Penna United Kingdom
Daniel Coronado relative to Manuel Acosta Spain Manuel Acosta's profile →
Citations per field
00.5×1.5×
Manuel Acosta · 1×
Citations per year

Countries citing papers authored by Daniel Coronado

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Coronado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Daniel Coronado, 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 Coronado Line = papers co-authored together Daniel Coronado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200960
2 201553
3 200852
4 200351
5 201044
6 200739
7 199733
8 200832
9 200931
10 201230
11 201129
12 201225
13 201020
14 201919
15 201718
16 201118
17 202117
18 201216
19
Innovación tecnológica y desarrollo regional
199915
20 201715

About Daniel Coronado

Daniel Coronado is a scholar working on Economics and Econometrics, Management of Technology and Innovation, Strategy and Management, Development and Political Science and International Relations, having authored 42 papers that have together received 712 indexed citations. Recurring topics across this work include Innovation Policy and R&D (17 papers), Firm Innovation and Growth (11 papers), Innovation and Knowledge Management (9 papers), Entrepreneurship Studies and Influences (9 papers), Economic Growth and Productivity (8 papers), Regional Development and Innovation (8 papers), Intellectual Property and Patents (6 papers) and Regional Development and Policy (6 papers). The work is most often cited by research in Management of Technology and Innovation (244 citations), Economics and Econometrics (455 citations), Strategy and Management (231 citations), Statistics, Probability and Uncertainty (52 citations) and Industrial and Manufacturing Engineering (71 citations). Daniel Coronado has collaborated with scholars based in Spain, Czechia and Belgium. Frequent co-authors include Manuel Acosta, Esther Ferrándiz, M. Ángeles Martínez, Carlos Romero, Pedro J. García‐Moreno, Ramiro E. Toribio, Manuel Jiménez Buendía, Joaquín M. Azagra‐Caro and Juan Luis Jiménez. Their work appears in journals such as Scientometrics, Regional Studies, Research Policy, The Journal of Technology Transfer and The Annals of Regional Science.

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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