Adonis Yatchew

2.6k citations
36 papers · 1.7k · h-index 19

Impact in

Papers in

Adonis Yatchew

36 papers receiving 1.6k citations

Peers

Adonis Yatchew
Comparison fields: 5 of 126
  • Statistics and Probability 302
  • Economics and Econometrics 831
  • General Economics, Econometrics and Finance 187
  • Finance 186
  • General Decision Sciences 27
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Cliff J. Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Adonis Yatchew

Since Specialization
Citations

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

Fields of papers citing papers by Adonis Yatchew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985264
2
Nonparametric Regression Techniques in Economics
1998258
3 1997175
4 2006123
5 200194
6 200090
7 199287
8 198878
9 201175
10 201254
11 200554
12 198548
13 200341
14 198531
15 200127
16 200424
17 199919
18 200319
19 201419
20 201718

About Adonis Yatchew

Adonis Yatchew is a scholar working on Economics and Econometrics, Statistics and Probability, General Economics, Econometrics and Finance, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (5 papers), Economics of Agriculture and Food Markets (5 papers), Electric Power System Optimization (4 papers), Climate Change Policy and Economics (4 papers), Fiscal Policy and Economic Growth (3 papers), Global Energy and Sustainability Research (3 papers) and Energy, Environment, and Transportation Policies (3 papers). The work is most often cited by research in Statistics and Probability (302 citations), Economics and Econometrics (831 citations), General Economics, Econometrics and Finance (187 citations), Finance (186 citations) and General Decision Sciences (27 citations). Adonis Yatchew has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Zvi Griliches, Laurie Ricciuto, Valerie Tarasuk, Larry G. Epstein, Wolfgang Karl Härdle, Richard Green, Peter Hall, Dimitrios Dimitropoulos, Catherine E. Déri and Brian McCaig. Their work appears in journals such as Journal of Econometrics, Economics Letters, The Review of Economics and Statistics, The Energy Journal and The Electricity Journal.

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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