Merran Evans

1.5k citations
27 papers · 874 · h-index 12

Impact in

Papers in

Merran Evans

27 papers receiving 796 citations

Peers

Merran Evans
Comparison fields: 5 of 169
  • Statistics and Probability 174
  • Statistics, Probability and Uncertainty 72
  • Finance 52
  • General Economics, Econometrics and Finance 43
  • Economics and Econometrics 112
Replace William L. Goffe with:
William L. Goffe United States
Gary E. Meek United States
Jeffrey Glosup United States
Surajit Ray United States
Neil H. Timm United States
Joachim Engel Germany
Elliot A. Tanis United States
Edwin L. Crow United States
Deborah Nolan United States
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Citations per field
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Citations per year

Countries citing papers authored by Merran Evans

Since Specialization
Citations

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

Fields of papers citing papers by Merran Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Merran Evans, 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 Merran Evans Line = papers co-authored together Merran Evans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010301
2 1994268
3
Transition from secondary to tertiary; a performance study
199946
4
Planning for the transition to tertiary study: A literature review
200046
5 199229
6 198524
7 198523
8 198514
9 198613
10 198812
11 198611
12 199511
13 198811
14 199810
15 19968
16 19867
17 20177
18 19947
19 19855
20 19845

About Merran Evans

Merran Evans is a scholar working on Statistics and Probability, Economics and Econometrics, Finance, General Economics, Econometrics and Finance and Education, having authored 27 papers that have together received 874 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (6 papers), Financial Risk and Volatility Modeling (4 papers), Economics of Agriculture and Food Markets (4 papers), Statistical Distribution Estimation and Applications (3 papers), Education Systems and Policy (3 papers), Higher Education Research Studies (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Statistics and Probability (174 citations), Statistics, Probability and Uncertainty (72 citations), Finance (52 citations), General Economics, Econometrics and Finance (43 citations) and Economics and Econometrics (112 citations). Merran Evans has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicholas Anthony John Hastings, Catherine Forbes, Brian Peacock, Aa, Brian Peacock, Maxwell L. King, Craig McInnis, Robert Pargetter, Richard James and Mark Peel. Their work appears in journals such as Journal of the American Statistical Association, Journal of Econometrics, Economics Letters, British Journal of Educational Psychology and The Journal of Physical Chemistry B.

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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