Timo Adam
Impact in
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- Species Distribution and Climate Change
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- Marine animal studies overview
- Wildlife Ecology and Conservation
- Avian ecology and behavior
Papers in
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- Bayesian Methods and Mixture Models 3
- Bayesian Modeling and Causal Inference 2
- Ecology 4
- Wildlife Ecology and Conservation 2
- Marine animal studies overview 2
- Co-authors
- Vianey Leos‐Barajas (6 shared papers)Roland Langrock (5 shared papers)Richard Glennie (1 shared paper)Theoni Photopoulou (1 shared paper)Théo Michelot (1 shared paper)Brett T. McClintock (1 shared paper)Eric J. Gangloff (1 shared paper)Juan M. Morales (1 shared paper)
- Journals
- Methods in Ecology and Evolution (2 papers)Scientific Reports (1 paper)AStA Advances in Statistical Analysis (1 paper)Computational Statistics & Data Analysis (1 paper)Ethology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Timo Adam
11 papers receiving 177 citations
Peers
Comparison fields: 5 of 63
- Ecological Modeling 24
- Ecology 92
- Nature and Landscape Conservation 42
- Developmental Biology 6
- Small Animals 15
Countries citing papers authored by Timo Adam
This map shows the geographic impact of Timo Adam'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 Timo Adam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Adam more than expected).
Fields of papers citing papers by Timo Adam
This network shows the impact of papers produced by Timo Adam. 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 Timo Adam. The network helps show where Timo Adam may publish in the future.
Co-authors
The 25 scholars most cited alongside Timo Adam, 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 | 2022 | 49 | |
| 2 | 2017 | 48 | |
| 3 | 2019 | 44 | |
| 4 | 2018 | 14 | |
| 5 | 2021 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2024 | 2 | |
| 9 | Hidden Markov models for multi-scale time series : an application to stock market data | 2020 | 2 |
| 10 | Using hierarchical hidden Markov models for joint inference at multiple temporal scales | 2017 | 2 |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 |
About Timo Adam
Timo Adam is a scholar working on Artificial Intelligence, Ecology, Nature and Landscape Conservation, Signal Processing and Ecological Modeling, having authored 12 papers that have together received 181 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (3 papers), Bayesian Methods and Mixture Models (3 papers), Species Distribution and Climate Change (2 papers), Time Series Analysis and Forecasting (2 papers), Bayesian Modeling and Causal Inference (2 papers), Marine and fisheries research (2 papers), Wildlife Ecology and Conservation (2 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Ecological Modeling (24 citations), Ecology (92 citations), Nature and Landscape Conservation (42 citations), Developmental Biology (6 citations) and Small Animals (15 citations). Timo Adam has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Vianey Leos‐Barajas, Roland Langrock, Richard Glennie, Theoni Photopoulou, Théo Michelot, Brett T. McClintock, Eric J. Gangloff, Juan M. Morales, Floris M. van Beest and Jacob Nabe‐Nielsen. Their work appears in journals such as Methods in Ecology and Evolution, Scientific Reports, AStA Advances in Statistical Analysis, Computational Statistics & Data Analysis and Ethology.
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.