Pedro Gomis‐Porqueras

751 citations
55 papers · 360 indexed · h-index 11

Pedro Gomis‐Porqueras

49 papers receiving 334 citations

Peers

Pedro Gomis‐Porqueras
Comparison fields: 5 of 46
  • Economics and Econometrics 291
  • General Economics, Econometrics and Finance 208
  • Finance 104
  • Accounting 49
  • Education 20
Replace Emanuela Ciapanna with:
Emanuela Ciapanna Italy
Carlos Robalo Marques Portugal
John A. Cotsomitis Canada
Riccardo Fiorito Italy
Simcha Barkai United States
Vincenzo Cuciniello Italy
Pablo D’Erasmo United States
Anton Muscatelli United Kingdom
Agnieszka Markiewicz Netherlands
Lucy Qian Liu United States
Pedro Gomis‐Porqueras relative to Emanuela Ciapanna Italy Emanuela Ciapanna's profile →
Citations per field
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Emanuela Ciapanna · 1×
Citations per year

Countries citing papers authored by Pedro Gomis‐Porqueras

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Gomis‐Porqueras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro Gomis‐Porqueras. 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 Pedro Gomis‐Porqueras. The network helps show where Pedro Gomis‐Porqueras may publish in the future.

Co-authorship network of co-authors of Pedro Gomis‐Porqueras

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Gomis‐Porqueras. A scholar is included among the top collaborators of Pedro Gomis‐Porqueras 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 Pedro Gomis‐Porqueras. Pedro Gomis‐Porqueras 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 10
2 2
3 0
4 2
5 7
6 4
7 24
8
The Effects of Secondary Markets and Unsecured Credit on Inflation Dynamics
2
9 0
10 18
11 18
12
New Technologies in Higher Education: Lower Attendance and Worse Learning Outcomes?
1
13 5
14
Optimal Monetary and Fiscal Policies In a Search-theoretic Model of Money and Unemployment
8
15 1
16 9
17 19
18
Market structure and the banking sector
2
19 2
20
A User's Guide to Banking Crises
20

About Pedro Gomis‐Porqueras

Pedro Gomis‐Porqueras is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 55 papers that have together received 360 indexed citations. Recurring topics across this work include Economic theories and models (32 papers), Economic Theory and Policy (22 papers) and Monetary Policy and Economic Impact (19 papers). The work is most often cited by research in General Economics, Econometrics and Finance (208 citations), Economics and Econometrics (291 citations) and Finance (104 citations). Pedro Gomis‐Porqueras has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Adrian Peralta‐Alva, Daniel R. Sanches, Christopher J. Waller, Bruce D. Smith, Laura Puzzello, Shuping Shi, Vipin Arora, Benoı̂t Julien, Àlex Haro and John H. Boyd. Their work appears in journals such as Journal of Economic Theory, European Economic Review and Journal of money credit and banking.

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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