Emaad Manzoor

673 total citations · 1 hit paper
10 papers, 386 citations indexed

About

Emaad Manzoor is a scholar working on Artificial Intelligence, Economics and Econometrics and General Social Sciences. According to data from OpenAlex, Emaad Manzoor has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Economics and Econometrics and 2 papers in General Social Sciences. Recurrent topics in Emaad Manzoor's work include Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Computational and Text Analysis Methods (2 papers). Emaad Manzoor is often cited by papers focused on Topic Modeling (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Computational and Text Analysis Methods (2 papers). Emaad Manzoor collaborates with scholars based in United States, Canada and Israel. Emaad Manzoor's co-authors include Leman Akoglu, Sadegh M. Milajerdi, Hemank Lamba, Nihar B. Shah, Dhanya Sridhar, Diyi Yang, Justin Grimmer, Victor Veitch, Margaret E. Roberts and Zach Wood-Doughty and has published in prestigious journals such as Information Systems Research, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Emaad Manzoor

10 papers receiving 370 citations

Hit Papers

Causal Inference in Natural Language Processing: Estimati... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emaad Manzoor United States 7 275 132 84 77 31 10 386
Changxuan Wan China 10 178 0.6× 73 0.6× 105 1.3× 57 0.7× 27 0.9× 59 334
Renato Fileto Brazil 9 199 0.7× 58 0.4× 111 1.3× 98 1.3× 31 1.0× 49 362
Thanh Tran Germany 11 243 0.9× 113 0.9× 206 2.5× 80 1.0× 30 1.0× 27 378
Jagdev Bhogal United Kingdom 7 251 0.9× 54 0.4× 176 2.1× 57 0.7× 35 1.1× 18 376
Edward Benson United States 8 158 0.6× 87 0.7× 149 1.8× 25 0.3× 27 0.9× 16 316
Florence Sèdes France 11 143 0.5× 140 1.1× 179 2.1× 61 0.8× 40 1.3× 61 340
Ilya Zaihrayeu Italy 7 221 0.8× 213 1.6× 123 1.5× 50 0.6× 28 0.9× 23 355
Tiziano Fagni Italy 8 202 0.7× 107 0.8× 157 1.9× 61 0.8× 57 1.8× 18 407
Sumit Negi India 9 217 0.8× 61 0.5× 114 1.4× 73 0.9× 110 3.5× 29 356

Countries citing papers authored by Emaad Manzoor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

10 of 10 papers shown
1.
Lee, Dokyun, et al.. (2024). Guided Diverse Concept Miner (GDCM): Uncovering Relevant Constructs for Managerial Insights from Text. Information Systems Research. 36(1). 370–393. 2 indexed citations
2.
Feder, Amir, Katherine A. Keith, Emaad Manzoor, et al.. (2022). Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Transactions of the Association for Computational Linguistics. 10. 1138–1158. 120 indexed citations breakdown →
3.
Manzoor, Emaad & Nihar B. Shah. (2021). Uncovering Latent Biases in Text: Method and Application to Peer Review. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 4767–4775. 18 indexed citations
4.
Jo, Yohan, Seojin Bang, Emaad Manzoor, Eduard Hovy, & Chris Reed. (2020). Detecting Attackable Sentences in Arguments. 1–23. 14 indexed citations
5.
Manzoor, Emaad & Nihar B. Shah. (2020). Uncovering Latent Biases in Text: Method and Application to Peer Review. arXiv (Cornell University). 4767–4775. 1 indexed citations
6.
Manzoor, Emaad, et al.. (2020). Expanding Taxonomies with Implicit Edge Semantics. 2044–2054. 17 indexed citations
7.
Lee, Dokyun, et al.. (2018). Focused Concept Miner (FCM): Interpretable Deep Learning for Text Exploration. SSRN Electronic Journal. 4 indexed citations
8.
Manzoor, Emaad, Hemank Lamba, & Leman Akoglu. (2018). xStream. 1963–1972. 47 indexed citations
9.
Manzoor, Emaad & Leman Akoglu. (2017). RUSH!. 1923–1931. 9 indexed citations
10.
Manzoor, Emaad, Sadegh M. Milajerdi, & Leman Akoglu. (2016). Fast Memory-efficient Anomaly Detection in Streaming Heterogeneous Graphs. 1035–1044. 154 indexed citations

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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