Timothy M. Brenza
About
In The Last Decade
Timothy M. Brenza
14 papers receiving 888 citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 216
- Artificial Intelligence 125
- Physiology 109
- Modeling and Simulation 97
- Biomaterials 89
Countries citing papers authored by Timothy M. Brenza
This map shows the geographic impact of Timothy M. Brenza'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 Timothy M. Brenza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy M. Brenza more than expected).
Fields of papers citing papers by Timothy M. Brenza
This network shows the impact of papers produced by Timothy M. Brenza. 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 Timothy M. Brenza. The network helps show where Timothy M. Brenza may publish in the future.
Co-authorship network of co-authors of Timothy M. Brenza
This figure shows the co-authorship network connecting the top 25 collaborators of Timothy M. Brenza. A scholar is included among the top collaborators of Timothy M. Brenza 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 Timothy M. Brenza. Timothy M. Brenza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends breakdown → | 154 |
| 3 | 129 | |
| 4 | 156 | |
| 5 | 42 | |
| 6 | 23 | |
| 7 | 106 | |
| 8 | 86 | |
| 9 | 86 | |
| 10 | 58 | |
| 11 | 38 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 6 |
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.