Manzil Zaheer
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Anit Kumar SahuAmeet TalwalkarTian LiMaziar SanjabiVirginia SmithAndrew McCallumRajarshi DasAmr Ahmed
- Topics
- Topic Modeling (12 papers)Natural Language Processing Techniques (9 papers)Multimodal Machine Learning Applications (4 papers)
- Cited by
- Artificial IntelligenceComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- Transactions of the Association for Computational LinguisticsArXiv.orgRepository for Publications and Research Data (ETH Zurich)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Manzil Zaheer
22 papers receiving 388 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 340
- Computer Vision and Pattern Recognition 82
- Information Systems 42
- Computer Networks and Communications 30
- Electrical and Electronic Engineering 26
Countries citing papers authored by Manzil Zaheer
This map shows the geographic impact of Manzil Zaheer'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 Manzil Zaheer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manzil Zaheer more than expected).
Fields of papers citing papers by Manzil Zaheer
This network shows the impact of papers produced by Manzil Zaheer. 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 Manzil Zaheer. The network helps show where Manzil Zaheer may publish in the future.
Co-authorship network of co-authors of Manzil Zaheer
This figure shows the co-authorship network connecting the top 25 collaborators of Manzil Zaheer. A scholar is included among the top collaborators of Manzil Zaheer 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 Manzil Zaheer. Manzil Zaheer 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 | 14 | |
| 3 | 22 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Latent Programmer: Discrete Latent Codes for Program Synthesis | 1 |
| 8 | Sketch based Memory for Neural Networks | 1 |
| 9 | 71 | |
| 10 | 17 | |
| 11 | Differentiable Meta-Learning in Contextual Bandits. | 1 |
| 12 | PLLay: Efficient Topological Layer based on Persistent Landscapes | 5 |
| 13 | Differentiable Meta-Learning of Bandit Policies. | 4 |
| 14 | 17 | |
| 15 | 17 | |
| 16 | 1 | |
| 17 | 32 | |
| 18 | Point Cloud GAN | 7 |
| 19 | On the Convergence of Federated Optimization in Heterogeneous Networks. | 135 |
| 20 | 8 |
About Manzil Zaheer
Manzil Zaheer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software, having authored 23 papers that have together received 397 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Artificial Intelligence (340 citations), Computer Science Applications (22 citations) and Computer Vision and Pattern Recognition (82 citations). Manzil Zaheer has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Anit Kumar Sahu, Ameet Talwalkar, Tian Li, Maziar Sanjabi, Virginia Smith, Andrew McCallum, Rajarshi Das, Amr Ahmed, Lazaros Polymenakos and Ethan Perez. Their work appears in journals such as Transactions of the Association for Computational Linguistics, ArXiv.org and Repository for Publications and Research Data (ETH Zurich).
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.