Chris D. Orme

2.1k citations
32 papers · 1.3k · h-index 13

Impact in

Papers in

Chris D. Orme

32 papers receiving 1.2k citations

Peers

Chris D. Orme
Comparison fields: 5 of 105
  • General Decision Sciences 547
  • Economics and Econometrics 752
  • Safety Research 229
  • Statistics and Probability 184
  • Management Science and Operations Research 220
Replace Simon Harold Grant with:
Simon Harold Grant Australia
Mohammed Abdellaoui France
Horst Zank United Kingdom
Yaw Nyarko United States
Azeem M. Shaikh United States
Ryo Okui Japan
Gijs van de Kuilen Netherlands
Enrico Diecidue France
Roy R. P. Kouwenberg Netherlands
Mohammed Abdellaoui France
Chris D. Orme relative to Simon Harold Grant Australia Simon Harold Grant's profile →
Citations per field
00.5×5×10.8×
Simon Harold Grant · 1×
Citations per year

Countries citing papers authored by Chris D. Orme

Since Specialization
Citations

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

Fields of papers citing papers by Chris D. Orme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris D. Orme. 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 Chris D. Orme. The network helps show where Chris D. Orme may publish in the future.

Co-authors

The 14 scholars most cited alongside Chris D. Orme, 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 Chris D. Orme Line = papers co-authored together Chris D. Orme links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994690
2 1991104
3 201791
4 199085
5 199558
6 199644
7 198838
8 199427
9 199119
10 200317
11 200014
12 199914
13 200613
14 200612
15 200411
16 200910
17 198910
18 199610
19 20029
20 19959

About Chris D. Orme

Chris D. Orme is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance, Economics and Econometrics, Finance and Management Science and Operations Research, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Monetary Policy and Economic Impact (11 papers), Advanced Statistical Methods and Models (8 papers), Financial Risk and Volatility Modeling (6 papers), Spatial and Panel Data Analysis (5 papers), Statistical Distribution Estimation and Applications (4 papers), Complex Systems and Time Series Analysis (3 papers) and Labor market dynamics and wage inequality (3 papers). The work is most often cited by research in General Decision Sciences (547 citations), Economics and Econometrics (752 citations), Safety Research (229 citations), Statistics and Probability (184 citations) and Management Science and Operations Research (220 citations). Chris D. Orme has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include John D. Hey, Leslie G. Godfrey, Tim Barmby, John G. Treble, Takashi Yamagata, PETER C. SMITH, Kostas Mavromaras, Paul A. Ruud, João Santos Silva and Arthur Sinko. Their work appears in journals such as Econometric Reviews, Economics Letters, Econometrics Journal, Econometric Theory and Journal of Econometrics.

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.

Explore authors with similar magnitude of impact