Robert Lund
- Global and Planetary Change top 0.5%
- Climate variability and models 28
- Hydrology and Drought Analysis 18
- Statistics and Probability top 0.2%
- Statistical Methods and Inference 25
- Markov Chains and Monte Carlo Methods 12
- Atmospheric Science top 1%
- Finance top 0.5%
- Financial Risk and Volatility Modeling 38
- Oceanography top 2%
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- Complex Systems and Time Series Analysis 15
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- Bayesian Methods and Mixture Models 14
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- Stochastic processes and statistical mechanics 13
- Co-authors
- Francis W. ZwiersHans von StorchJaxk ReevesHenry TeicherY. S. ChowQi LuI. V. BasawaXiaolan L. Wang
- Journals
- Journal of the American Statistical Association (15 papers)Journal of Applied Probability (15 papers)Journal of Climate (13 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Robert Lund
130 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Global and Planetary Change 2.9k
- Statistics and Probability 1.1k
- Atmospheric Science 2.1k
- Finance 1.0k
- Oceanography 747
Countries citing papers authored by Robert Lund
This map shows the geographic impact of Robert Lund'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 Robert Lund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Lund more than expected).
Fields of papers citing papers by Robert Lund
This network shows the impact of papers produced by Robert Lund. 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 Robert Lund. The network helps show where Robert Lund may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Lund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 70 | |
| 7 | 2019 | 16 | |
| 8 | Latent Gaussian Count Time Series Modeling | 2018 | 4 |
| 9 | 2017 | 16 | |
| 10 | 2014 | 24 | |
| 11 | 2014 | 19 | |
| 12 | 2014 | 48 | |
| 13 | 2012 | 56 | |
| 14 | 2011 | 7 | |
| 15 | Time Series Analysis and Its Applications: With R Examples (2nd ed.). Robert H. Shumway and David S. Stoffer | 2007 | 7 |
| 16 | 2006 | 3 | |
| 17 | 2006 | 0 | |
| 18 | 2006 | 1 | |
| 19 | Advances in Neural Information Processing Systems 17: Proceedings of the 2004 Conference | 2006 | 46 |
| 20 | Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenbergbreakdown → | 2006 | 811 |
About Robert Lund
Robert Lund is a scholar working on Statistics and Probability, Finance, Global and Planetary Change, Management Science and Operations Research and Mathematical Physics, having authored 137 papers that have together received 7.5k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (38 papers), Climate variability and models (28 papers), Statistical Methods and Inference (25 papers), Hydrology and Drought Analysis (18 papers), Complex Systems and Time Series Analysis (15 papers), Bayesian Methods and Mixture Models (14 papers), Stochastic processes and statistical mechanics (13 papers) and Markov Chains and Monte Carlo Methods (12 papers). The work is most often cited by research in Global and Planetary Change (2.9k citations), Statistics and Probability (1.1k citations), Atmospheric Science (2.1k citations), Finance (1.0k citations) and Oceanography (747 citations). Robert Lund has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Francis W. Zwiers, Hans von Storch, Jaxk Reeves, Henry Teicher, Y. S. Chow, Qi Lu, I. V. Basawa, Xiaolan L. Wang, Jien Chen and Colin Gallagher. Their work appears in journals such as Journal of the American Statistical Association, Journal of Applied Probability, Journal of Climate, Journal of Time Series Analysis and Environmetrics.
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.