Manzil Zaheer

2.7k citations
21 papers · 800 indexed · h-index 12

Manzil Zaheer

20 papers receiving 769 citations

Peers

Manzil Zaheer
Comparison fields: 5 of 99
  • Artificial Intelligence 579
  • General Social Sciences 33
  • Computer Vision and Pattern Recognition 138
  • Information Systems 97
  • Management Science and Operations Research 46
Replace Mohamad Saraee with:
Mohamad Saraee United Kingdom
Weiliang Zhao Australia
Gleb Gusev Russia
Peifa Jia China
Junhua Gu China
Matthias R. Brust Luxembourg
Linbo Qiao China
Subrota Kumar Mondal Macao
Manzil Zaheer relative to Mohamad Saraee United Kingdom Mohamad Saraee's profile →
Citations per field
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Mohamad Saraee · 1×
Citations per year

Countries citing papers authored by Manzil Zaheer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Manzil Zaheer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manzil Zaheer Line = papers co-authored together Manzil Zaheer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201912
2
Nonparametric Density Estimation under Adversarial Losses
20183
3
Adaptive Methods for Nonconvex Optimization
2018102
4 2018207
5
Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning.
20174
6
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning.
201720
7
Deep Sets
2017116
8
Latent LSTM Allocation: Joint clustering and non-linear dynamic modeling of sequence data
201723
9
Canopy --- Fast Sampling with Cover Trees
20172
10 201710
11
Learning a Static Analyzer: A Case Study on a Toy Language
20172
12
Exponential Stochastic Cellular Automata for Massively Parallel Inference
201615
13 2015197
14
Preferential Attachment in Graphs with Affinities
20152
15 201514
16 20140
17 20142
18 201229
19 201122
20 201015

About Manzil Zaheer

Manzil Zaheer is a scholar working on Hardware and Architecture, Artificial Intelligence, Signal Processing, Numerical Analysis and Automotive Engineering, having authored 21 papers that have together received 800 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Energy Harvesting in Wireless Networks (3 papers), Machine Learning and Algorithms (3 papers), Natural Language Processing Techniques (3 papers), Advanced Graph Neural Networks (3 papers), Anomaly Detection Techniques and Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Artificial Intelligence (579 citations), General Social Sciences (33 citations), Computer Vision and Pattern Recognition (138 citations), Information Systems (97 citations) and Management Science and Operations Research (46 citations). Manzil Zaheer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Rajarshi Das, Chris Dyer, Ruslan Salakhutdinov, William W. Cohen, Kathryn Mazaitis, Haitian Sun, Alexander J. Smola, Bhuwan Dhingra, Sashank J. Reddi and Barnabás Póczos. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, HAL (Le Centre pour la Communication Scientifique Directe), International Conference on Machine Learning, arXiv (Cornell University) and International Conference on Artificial Intelligence and Statistics.

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.

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