Mitchell O’Hara-Wild

1.0k total citations
4 papers, 53 citations indexed

About

Mitchell O’Hara-Wild is a scholar working on Sociology and Political Science, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Mitchell O’Hara-Wild has authored 4 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Signal Processing and 1 paper in Management Science and Operations Research. Recurrent topics in Mitchell O’Hara-Wild's work include Economic and Environmental Valuation (1 paper), Diverse Aspects of Tourism Research (1 paper) and Forecasting Techniques and Applications (1 paper). Mitchell O’Hara-Wild is often cited by papers focused on Economic and Environmental Valuation (1 paper), Diverse Aspects of Tourism Research (1 paper) and Forecasting Techniques and Applications (1 paper). Mitchell O’Hara-Wild collaborates with scholars based in Australia and Sweden. Mitchell O’Hara-Wild's co-authors include Rob J. Hyndman, George Athanasopoulos, Earo Wang, Nikolaos Kourentzes, Gabriel A. Caceres, Farah Yasmeen, Fotios Petropoulos, Christoph Bergmeir, Thiyanga S. Talagala and Pablo Montero‐Manso and has published in prestigious journals such as Journal of Travel Research.

In The Last Decade

Mitchell O’Hara-Wild

4 papers receiving 53 citations

Peers

Countries citing papers authored by Mitchell O’Hara-Wild

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell O’Hara-Wild

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell O’Hara-Wild. 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 Mitchell O’Hara-Wild. The network helps show where Mitchell O’Hara-Wild may publish in the future.

Co-authorship network of co-authors of Mitchell O’Hara-Wild

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell O’Hara-Wild. A scholar is included among the top collaborators of Mitchell O’Hara-Wild based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mitchell O’Hara-Wild. Mitchell O’Hara-Wild is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	Probabilistic Forecasts Using Expert Judgment: The Road to Recovery From COVID-19 2022 ·Journal of Travel Research ·George Athanasopoulos, Rob J. Hyndman, Nikolaos Kourentzes, Mitchell O’Hara-Wild	14
2	Core Tools for Packages in the 'fable' Framework [R package fabletools version 0.3.0] 2021 ·Mitchell O’Hara-Wild, Rob J. Hyndman, Earo Wang	1
3	Forecasting Functions for Time Series and Linear Models [R package forecast version 8.13] 2020 ·Rob J. Hyndman, George Athanasopoulos, Christoph Bergmeir, Gabriel A. Caceres, (unknown), Mitchell O’Hara-Wild, Fotios Petropoulos, (unknown), Earo Wang, Farah Yasmeen	33
4	Time Series Feature Extraction [R package tsfeatures version 1.0.2] 2020 ·Rob J. Hyndman, Yanfei Kang, Pablo Montero‐Manso, Thiyanga S. Talagala, Earo Wang, (unknown), Mitchell O’Hara-Wild	5

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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