Julia Campos

816 citations
20 papers · 575 · h-index 7

Impact in

Papers in

Julia Campos

19 papers receiving 454 citations

Peers

Julia Campos
Comparison fields: 5 of 68
  • General Economics, Econometrics and Finance 355
  • Finance 166
  • Economics and Econometrics 375
  • Statistics and Probability 52
  • Management Science and Operations Research 61
Replace Kirstin Hubrich with:
Kirstin Hubrich United States
Carsten Trenkler Germany
Dimitrios V. Vougas United Kingdom
Glenn A. Mills United Kingdom
G. V. L. Narasimham United States
A. Özlem Önder Türkiye
Adrian R. Fleissig United States
Tilak Abeysinghe Singapore
Anthony Garratt United Kingdom
Jean‐Yves Pitarakis United Kingdom
Julia Campos relative to Kirstin Hubrich United States Kirstin Hubrich's profile →
Citations per field
00.5×1.5×
Kirstin Hubrich · 1×
Citations per year

Countries citing papers authored by Julia Campos

Since Specialization
Citations

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

Fields of papers citing papers by Julia Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Julia Campos, 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 Julia Campos Line = papers co-authored together Julia Campos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1996164
2 2005118
3 200356
4 199954
5 200552
6 199051
7 199041
8 20216
9 19866
10 19935
11
Introduction: General-to-Specific Modelling.
20115
12 19925
13 20004
14 20002
15 19882
16 19911
17 20221
18 19871
19 19861
20 20230

About Julia Campos

Julia Campos is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Statistics and Probability, Management Science and Operations Research and Organic Chemistry, having authored 20 papers that have together received 575 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (8 papers), Economic theories and models (4 papers), Complex Systems and Time Series Analysis (3 papers), Fiscal Policies and Political Economy (2 papers), Forecasting Techniques and Applications (2 papers), Economic Theory and Policy (2 papers), Statistical Methods and Inference (2 papers) and Consumer Market Behavior and Pricing (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (355 citations), Finance (166 citations), Economics and Econometrics (375 citations), Statistics and Probability (52 citations) and Management Science and Operations Research (61 citations). Julia Campos has collaborated with scholars based in United States, Venezuela and United Kingdom. Frequent co-authors include Neil R. Ericsson, David F. Hendry, Hans‐Martin Krolzig, Bluma G. Soares, Eduardo Sousa, Eduardo Branco de Sousa, Dionísio Borsato and Karina Gomes Angilelli. Their work appears in journals such as Journal of Econometrics, Journal of the American Statistical Association, Oxford Bulletin of Economics and Statistics, Econometrics Journal and Progress in Organic Coatings.

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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