Pablo Casas‐Arce

795 citations
28 papers · 491 indexed · h-index 10

Impact in

Papers in

Pablo Casas‐Arce

27 papers receiving 468 citations

Peers

Pablo Casas‐Arce
Comparison fields: 5 of 44
  • General Decision Sciences 65
  • Safety Research 209
  • Accounting 109
  • Gender Studies 82
  • Management Science and Operations Research 89
Replace F. Asís Martínez-Jerez with:
F. Asís Martínez-Jerez United States
Oliver Gürtler Germany
Matthias Kräkel Germany
Christine Harbring Germany
Haig R. Nalbantian United States
K. Ashley Gangloff United States
Nicholas Seybert United States
John M. Oesch Canada
Gary Hecht United States
Khim Kelly United States
Pablo Casas‐Arce relative to F. Asís Martínez-Jerez United States F. Asís Martínez-Jerez's profile →
Citations per field
00.5×4.3×
F. Asís Martínez-Jerez · 1×
Citations per year

Countries citing papers authored by Pablo Casas‐Arce

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Casas‐Arce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Casas‐Arce. 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 Pablo Casas‐Arce. The network helps show where Pablo Casas‐Arce may publish in the future.

Co-authors

The 13 scholars most cited alongside Pablo Casas‐Arce, 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 Pablo Casas‐Arce Line = papers co-authored together Pablo Casas‐Arce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20226
3 20213
4 20211
5 201910
6 201815
7
Préstamos hipotecarios y limitaciones al tipo de interés
20181
8 20174
9 201746
10 201581
11 20132
12 20123
13 20121
14 20113
15 201112
16
The Impact of Forward-Looking Metrics on Employee Decision Making
20111
17 201016
18 20101
19 20106
20 20067

About Pablo Casas‐Arce

Pablo Casas‐Arce is a scholar working on Safety Research, General Decision Sciences, Accounting, Management Information Systems and Management Science and Operations Research, having authored 28 papers that have together received 491 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (11 papers), Auditing, Earnings Management, Governance (6 papers), Corporate Finance and Governance (5 papers), Game Theory and Applications (4 papers), Insurance and Financial Risk Management (3 papers), Housing Market and Economics (3 papers), Customer churn and segmentation (3 papers) and Banking stability, regulation, efficiency (3 papers). The work is most often cited by research in General Decision Sciences (65 citations), Safety Research (209 citations), Accounting (109 citations), Gender Studies (82 citations) and Management Science and Operations Research (89 citations). Pablo Casas‐Arce has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include F. Asís Martínez-Jerez, Albert Sáiz, Michal Matějka, V.G. Narayanan, Matthias D. Mahlendorf, Thomas Kittsteiner, Raffi Indjejikian, Isabella Grabner, Sven Modell and Mandy M. Cheng. Their work appears in journals such as Management Science, Journal of Economics & Management Strategy, Journal of Management Accounting Research, The Accounting Review and Contemporary Accounting Research.

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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