Nevena Lazic
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Control and Systems Engineering
- Information Systems
- Co-authors
- Parham AarabiBrendan J. FreyDani YogatamaDaniel GillickAmarnag SubramanyaFernando PereiraInmar E. GivoniAmir Globerson
- Topics
- Reinforcement Learning in Robotics (5 papers)Data Quality and Management (4 papers)Topic Modeling (3 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
- Journals
- Fusion Engineering and DesignTransactions of the Association for Computational LinguisticsarXiv (Cornell University)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nevena Lazic
15 papers receiving 372 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 255
- Computer Vision and Pattern Recognition 84
- Management Science and Operations Research 82
- Control and Systems Engineering 45
- Information Systems 36
Countries citing papers authored by Nevena Lazic
This map shows the geographic impact of Nevena Lazic'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 Nevena Lazic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nevena Lazic more than expected).
Fields of papers citing papers by Nevena Lazic
This network shows the impact of papers produced by Nevena Lazic. 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 Nevena Lazic. The network helps show where Nevena Lazic may publish in the future.
Co-authorship network of co-authors of Nevena Lazic
This figure shows the co-authorship network connecting the top 25 collaborators of Nevena Lazic. A scholar is included among the top collaborators of Nevena Lazic 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 Nevena Lazic. Nevena Lazic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 16 | |
| 3 | Politex: Regret Bounds for Policy Iteration using Expert Prediction | 11 |
| 4 | Regret Bounds for Model-Free Linear Quadratic Control. | 5 |
| 5 | Data Center Cooling using Model-predictive Control | 64 |
| 6 | 20 | |
| 7 | Short and Deep: Sketching and Neural Networks | 2 |
| 8 | 64 | |
| 9 | 73 | |
| 10 | 37 | |
| 11 | Structural Expectation Propagation (SEP): Bayesian Structure Learning for Networks with Latent Variables | 4 |
| 12 | Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms | 37 |
| 13 | 52 | |
| 14 | 1 | |
| 15 | 6 |
About Nevena Lazic
Nevena Lazic is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 397 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (5 papers), Data Quality and Management (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Artificial Intelligence (255 citations), Management Science and Operations Research (82 citations) and Computer Vision and Pattern Recognition (84 citations). Nevena Lazic has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Parham Aarabi, Brendan J. Frey, Dani Yogatama, Daniel Gillick, Amarnag Subramanya, Fernando Pereira, Inmar E. Givoni, Amir Globerson, Soumen Chakrabarti and Yasin Abbasi-Yadkori. Their work appears in journals such as Fusion Engineering and Design, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).
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.