Eduardo Zilberman

625 total citations
10 papers, 245 citations indexed

About

Eduardo Zilberman is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Accounting. According to data from OpenAlex, Eduardo Zilberman has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 4 papers in General Economics, Econometrics and Finance and 3 papers in Accounting. Recurrent topics in Eduardo Zilberman's work include Taxation and Compliance Studies (3 papers), Monetary Policy and Economic Impact (3 papers) and Market Dynamics and Volatility (2 papers). Eduardo Zilberman is often cited by papers focused on Taxation and Compliance Studies (3 papers), Monetary Policy and Economic Impact (3 papers) and Market Dynamics and Volatility (2 papers). Eduardo Zilberman collaborates with scholars based in Brazil, United States and Chile. Eduardo Zilberman's co-authors include Gabriel Vasconcelos, Marcelo C. Medeiros, Álvaro Veiga, Saki Bigio, Dror Baron, N. Cristal, Harel Gilutz, João Manoel Pinho de Mello and Carlos Carvalho and has published in prestigious journals such as European Heart Journal, Journal of Public Economics and Journal of Business and Economic Statistics.

In The Last Decade

Eduardo Zilberman

10 papers receiving 231 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eduardo Zilberman Brazil	5	161	100	91	41	39	10	245
Dalibor Stevanović Canada	8	133 0.8×	96 1.0×	53 0.6×	18 0.4×	12 0.3×	18	203
Chenghu Ma China	10	216 1.3×	37 0.4×	129 1.4×	26 0.6×	16 0.4×	40	352
Vincent Labhard Germany	9	184 1.1×	190 1.9×	80 0.9×	7 0.2×	12 0.3×	21	285
Katja Ignatieva Australia	14	202 1.3×	51 0.5×	79 0.9×	43 1.0×	75 1.9×	48	402
Trino‐Manuel Ñíguez United Kingdom	10	232 1.4×	113 1.1×	41 0.5×	22 0.5×	10 0.3×	27	317
Guilherme V. Moura Brazil	11	175 1.1×	113 1.1×	71 0.8×	12 0.3×	12 0.3×	42	309
Gregorio Serna Spain	9	281 1.7×	91 0.9×	29 0.3×	34 0.8×	17 0.4×	30	447
Henri Nyberg Finland	10	335 2.1×	222 2.2×	83 0.9×	27 0.7×	25 0.6×	26	473
Matthias Büchner United Kingdom	3	117 0.7×	40 0.4×	129 1.4×	39 1.0×	9 0.2×	5	252
Wen‐Jen Tsay Taiwan	9	223 1.4×	148 1.5×	40 0.4×	9 0.2×	8 0.2×	34	361

Countries citing papers authored by Eduardo Zilberman

Since Specialization

Citations

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

Fields of papers citing papers by Eduardo Zilberman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Zilberman

This figure shows the co-authorship network connecting the top 25 collaborators of Eduardo Zilberman. A scholar is included among the top collaborators of Eduardo Zilberman 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 Eduardo Zilberman. Eduardo Zilberman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Medeiros, Marcelo C., Gabriel Vasconcelos, Álvaro Veiga, & Eduardo Zilberman. (2019). Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods. Journal of Business and Economic Statistics. 39(1). 98–119. 173 indexed citations

2.

Zilberman, Eduardo, et al.. (2018). Os Efeitos da Incerteza sobre a Atividade Econômica no Brasil. Revista Brasileira de Economia. 72(2). 15 indexed citations

3.

Zilberman, Eduardo, et al.. (2018). Risk sharing contracts with private information and one-sided commitment. Economic Theory. 68(1). 53–81. 1 indexed citations

4.

Medeiros, Marcelo C., Gabriel Vasconcelos, Álvaro Veiga, & Eduardo Zilberman. (2018). Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods. SSRN Electronic Journal. 7 indexed citations

5.

Zilberman, Eduardo. (2016). Audits or Distortions: The Optimal Scheme to Enforce Self‐Employment Income Taxes. Journal of Public Economic Theory. 18(4). 511–544. 3 indexed citations

6.

Mello, João Manoel Pinho de, et al.. (2014). The effects of exposure to hyperinflation on occupational choice. Journal of Economic Behavior & Organization. 106. 109–123. 2 indexed citations

7.

Carvalho, Carlos, et al.. (2014). Macroeconomic Effects of Credit Deepening in Latin America. SSRN Electronic Journal. 2 indexed citations

8.

Zilberman, Eduardo, et al.. (2012). Targeting the Poor: A Macroeconomic Analysis of Cash Transfer Programs. RePEc: Research Papers in Economics. 1 indexed citations

9.

Bigio, Saki & Eduardo Zilberman. (2010). Optimal self-employment income tax enforcement. Journal of Public Economics. 95(9-10). 1021–1035. 27 indexed citations

10.

Baron, Dror, et al.. (1994). Long-term prognosis of low-risk, post-MI patients: the importance of subjective perception of disease. European Heart Journal. 15(12). 1611–1615. 14 indexed citations

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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