Daniel Mitchell

426 citations
25 papers · 317 · h-index 10

Impact in

  • Demography top 5%
    • Insurance, Mortality, Demography, Risk Management
  • Finance top 10%
    • Stochastic processes and financial applications

Papers in

    • Stochastic processes and financial applications 9
    • Financial Markets and Investment Strategies 5
    • Credit Risk and Financial Regulations 3
    • Surfactants and Colloidal Systems 4

Daniel Mitchell

24 papers receiving 310 citations

Peers

Daniel Mitchell
Comparison fields: 5 of 74
  • Demography 75
  • Finance 54
  • Health 28
  • Catalysis 25
  • General Health Professions 68
Replace Carlos Brambila with:
Carlos Brambila United States
Carsten Schröder Germany
Yun-Jeong Lee South Korea
Renfei Gao Australia
Shiang Liu United States
Shahbaz Ahmad Pakistan
Qian Liao China
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Maryanne Macdonald Canada
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Citations per field
00.5×10×20×27×
Carlos Brambila · 1×
Citations per year

Countries citing papers authored by Daniel Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Mitchell, 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 Mitchell Line = papers co-authored together Daniel Mitchell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 200365
3 197927
4 200122
5 200219
6 201616
7 199814
8 201414
9 199013
10 20199
11 20225
12 20125
13 20154
14 20194
15 20034
16 19993
17 20193
18 20153
19 20152
20 20112

About Daniel Mitchell

Daniel Mitchell is a scholar working on Finance, Organic Chemistry, Economics and Econometrics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 25 papers that have together received 317 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (9 papers), Financial Markets and Investment Strategies (5 papers), Surfactants and Colloidal Systems (4 papers), Credit Risk and Financial Regulations (3 papers), Phase Equilibria and Thermodynamics (3 papers), Insurance, Mortality, Demography, Risk Management (2 papers), Energy Load and Power Forecasting (2 papers) and Carbon Dioxide Capture Technologies (2 papers). The work is most often cited by research in Demography (75 citations), Finance (54 citations), Health (28 citations), Catalysis (25 citations) and General Health Professions (68 citations). Daniel Mitchell has collaborated with scholars based in United States, Hong Kong and Singapore. Frequent co-authors include Rafael Mendoza‐Arriaga, Kumar Muthuraman, Patrick L. Brockett, Richard J. Lagow, Won Ryoo, Keith P. Johnston, Anna L. Smith, M J Garvey, Stephen E. Webber and P. Griffin Smith. Their work appears in journals such as Quantitative Finance, Journal of the American Chemical Society, Operations Research, Inorganic Chemistry and Pure and Applied Chemistry.

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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