Avi Bick

400 citations
12 papers · 236 · h-index 8

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Markets and Investment Strategies
    • Financial Risk and Volatility Modeling
    • Capital Investment and Risk Analysis
    • Economic theories and models
    • Complex Systems and Time Series Analysis

Papers in

    • Stochastic processes and financial applications 11
    • Financial Markets and Investment Strategies 6
    • Capital Investment and Risk Analysis 5
    • Credit Risk and Financial Regulations 1
    • Financial Risk and Volatility Modeling 1
    • Economic theories and models 8
    • Complex Systems and Time Series Analysis 1
    • Insurance and Financial Risk Management 1

Avi Bick

11 papers receiving 206 citations

Peers

Avi Bick
Comparison fields: 5 of 20
  • Finance 223
  • Economics and Econometrics 129
  • General Economics, Econometrics and Finance 28
  • General Decision Sciences 6
  • Demography 20
Replace Robert Tompkins with:
Robert Tompkins Austria
Don R. Rich United States
Alessandro Sbuelz Italy
Ayman Hindy United States
Dietmar Leisen Germany
Richard Luger Canada
Jinghong Shu China
Kyriakos Chourdakis United Kingdom
Georgy Chabakauri United Kingdom
Uwe Wystup Germany
Avi Bick relative to Robert Tompkins Austria Robert Tompkins's profile →
Citations per field
00.5×
Robert Tompkins · 1×
Citations per year

Countries citing papers authored by Avi Bick

Since Specialization
Citations

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

Fields of papers citing papers by Avi Bick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Avi Bick, 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 Avi Bick Line = papers co-authored together Avi Bick links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown

About Avi Bick

Avi Bick is a scholar working on Finance, Economics and Econometrics, Infectious Diseases, Organic Chemistry and Surgery, having authored 12 papers that have together received 236 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Economic theories and models (8 papers), Financial Markets and Investment Strategies (6 papers), Capital Investment and Risk Analysis (5 papers), Complex Systems and Time Series Analysis (1 paper), Credit Risk and Financial Regulations (1 paper), Insurance and Financial Risk Management (1 paper) and Financial Risk and Volatility Modeling (1 paper). The work is most often cited by research in Finance (223 citations), Economics and Econometrics (129 citations), General Economics, Econometrics and Finance (28 citations), General Decision Sciences (6 citations) and Demography (20 citations). Avi Bick has collaborated with scholars based in Canada and United States. Frequent co-authors include Walter Willinger. Their work appears in journals such as Journal of Financial and Quantitative Analysis, The Journal of Finance, Stochastic Processes and their Applications, Journal of Financial Economics and Quarterly Journal of Finance.

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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