Emaad Manzoor
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Leman AkogluSadegh M. MilajerdiHemank LambaNihar B. ShahAmir FederReid PryzantDhanya SridharMargaret E. Roberts
- Topics
- Topic Modeling (4 papers)Sentiment Analysis and Opinion Mining (3 papers)Computational and Text Analysis Methods (2 papers)
- Journals
- Information Systems ResearchTransactions of the Association for Computational LinguisticsarXiv (Cornell University)
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Emaad Manzoor
10 papers receiving 370 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 275
- Computer Networks and Communications 132
- Information Systems 84
- Signal Processing 77
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Emaad Manzoor
This map shows the geographic impact of Emaad Manzoor'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 Emaad Manzoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emaad Manzoor more than expected).
Fields of papers citing papers by Emaad Manzoor
This network shows the impact of papers produced by Emaad Manzoor. 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 Emaad Manzoor. The network helps show where Emaad Manzoor may publish in the future.
Co-authorship network of co-authors of Emaad Manzoor
This figure shows the co-authorship network connecting the top 25 collaborators of Emaad Manzoor. A scholar is included among the top collaborators of Emaad Manzoor 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 Emaad Manzoor. Emaad Manzoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyondbreakdown → | 120 |
| 3 | 18 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 47 | |
| 9 | 9 | |
| 10 | 154 |
About Emaad Manzoor
Emaad Manzoor is a scholar working on General Social Sciences, Artificial Intelligence and Statistics and Probability, having authored 10 papers that have together received 386 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Computational and Text Analysis Methods (2 papers). The work is most often cited by research in Artificial Intelligence (275 citations), Signal Processing (77 citations) and Computer Networks and Communications (132 citations). Emaad Manzoor has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Leman Akoglu, Sadegh M. Milajerdi, Hemank Lamba, Nihar B. Shah, Amir Feder, Reid Pryzant, Dhanya Sridhar, Margaret E. Roberts, Katherine A. Keith and Brandon Stewart. Their work appears in journals such as Information Systems Research, 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.