Maria Jahja
- Modeling and Simulation
- Epidemiology
- Artificial Intelligence
- Infectious Diseases
- Computer Networks and Communications
- Topics
- Anomaly Detection Techniques and Applications (2 papers)Time Series Analysis and Forecasting (1 paper)COVID-19 epidemiological studies (1 paper)
- Journals
- Statistical SciencearXiv (Cornell University)Neural Information Processing Systems
- Partner nations
- United States
In The Last Decade
Maria Jahja
3 papers receiving 13 citations
Peers
Comparison fields: 5 of 14
- Modeling and Simulation 8
- Epidemiology 6
- Artificial Intelligence 4
- Infectious Diseases 2
- Computer Networks and Communications 1
Countries citing papers authored by Maria Jahja
This map shows the geographic impact of Maria Jahja'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 Maria Jahja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Jahja more than expected).
Fields of papers citing papers by Maria Jahja
This network shows the impact of papers produced by Maria Jahja. 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 Maria Jahja. The network helps show where Maria Jahja may publish in the future.
Co-authorship network of co-authors of Maria Jahja
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Jahja. A scholar is included among the top collaborators of Maria Jahja 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 Maria Jahja. Maria Jahja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights | 1 |
| 3 | 4 |
About Maria Jahja
Maria Jahja is a scholar working on Modeling and Simulation, Artificial Intelligence and Signal Processing, having authored 3 papers that have together received 13 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (2 papers), Time Series Analysis and Forecasting (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (8 citations), Biophysics (1 citation) and Epidemiology (6 citations). Maria Jahja has collaborated with scholars based in United States. Frequent co-authors include Andrew I. Chin, Ryan J. Tibshirani, Arin Chaudhuri, Roni Rosenfeld and David Farrow. Their work appears in journals such as Statistical Science, arXiv (Cornell University) and Neural Information Processing Systems.
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.