Daniel Polakow

411 citations
18 papers · 284 · h-index 8

Impact in

Papers in

    • Financial Risk and Volatility Modeling 6
    • Financial Markets and Investment Strategies 4
    • Stochastic processes and financial applications 2
    • Market Dynamics and Volatility 7
    • Complex Systems and Time Series Analysis 5

Daniel Polakow

17 papers receiving 257 citations

Peers

Daniel Polakow
Comparison fields: 5 of 59
  • Nature and Landscape Conservation 118
  • Ecological Modeling 26
  • Global and Planetary Change 109
  • Ecology 100
  • Finance 35
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Polakow

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Polakow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Polakow, 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 Daniel Polakow Line = papers co-authored together Daniel Polakow links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200184
2 199962
3 200133
4 200131
5 200322
6 199816
7 20018
8 20107
9 20086
10 19965
11 20152
12 20142
13 20142
14
A Coupling of Extreme-Value Theory and Volatility Updating with Value-at-Risk Estimation in Emerging Markets: A South African Test
20151
15 20161
16 20111
17 20181
18 20230

About Daniel Polakow

Daniel Polakow is a scholar working on Finance, Economics and Econometrics, Nature and Landscape Conservation, Ecology and Global and Planetary Change, having authored 18 papers that have together received 284 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (7 papers), Financial Risk and Volatility Modeling (6 papers), Complex Systems and Time Series Analysis (5 papers), Financial Markets and Investment Strategies (4 papers), Fire effects on ecosystems (3 papers), Stochastic processes and financial applications (2 papers), Monetary Policy and Economic Impact (2 papers) and Ecology and Vegetation Dynamics Studies (2 papers). The work is most often cited by research in Nature and Landscape Conservation (118 citations), Ecological Modeling (26 citations), Global and Planetary Change (109 citations), Ecology (100 citations) and Finance (35 citations). Daniel Polakow has collaborated with scholars based in South Africa and United States. Frequent co-authors include Timothy T. Dunne, David M. Richardson, Suzanne J. Milton, Mathieu Rouget, Michael D. Jennions, A. C. Spinks, M. Justin O’Riain, Tim Gebbie, Emlyn Flint and Steven R. Telford. Their work appears in journals such as Behavioral Ecology, Forest Ecology and Management, Annals of Tourism Research, Journal of Insect Behavior and Ecological Modelling.

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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