Amir Feder

1.4k total citations · 1 hit paper
18 papers, 342 citations indexed

About

Amir Feder is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Amir Feder has authored 18 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Management Information Systems. Recurrent topics in Amir Feder's work include Topic Modeling (6 papers), Blockchain Technology Applications and Security (4 papers) and Cybercrime and Law Enforcement Studies (2 papers). Amir Feder is often cited by papers focused on Topic Modeling (6 papers), Blockchain Technology Applications and Security (4 papers) and Cybercrime and Law Enforcement Studies (2 papers). Amir Feder collaborates with scholars based in Israel, United States and United Kingdom. Amir Feder's co-authors include Neil Gandal, JT Hamrick, Tyler Moore, Roi Reichart, Reid Pryzant, Dhanya Sridhar, Margaret E. Roberts, Justin Grimmer, Jacob Eisenstein and Emaad Manzoor and has published in prestigious journals such as Information Processing & Management, Journal of Biomedical Informatics and Computational Linguistics.

In The Last Decade

Amir Feder

17 papers receiving 328 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

2022 120 citations Amir Feder, Katherine A. Keith et al. Transactions of the Association for Computational Linguistics profile →

Peers

Amir Feder

AI

IS

CVPR

EE

SPS

Dionisios N. Sotiropoulos Greece

Yunqi Li United States

Shaoyu Li China

Vitalik Buterin United States

Guillermo Jiménez-Díaz Spain

Yahui An China

Kostadin Mishev North Macedonia

Roy Bar-Haim Israel

Alexander Hogenboom Netherlands

Dionisios N. Sotiropoulos Greece

Amir Feder

89 ×0.5

AI

132 ×1.1

IS

30 ×0.8

CVPR

97 ×2.9

EE

50 ×1.6

SPS

Citations per year, relative to Amir Feder Amir Feder (= 1×) peers Dionisios N. Sotiropoulos

Countries citing papers authored by Amir Feder

Since Specialization

Citations

This map shows the geographic impact of Amir Feder'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 Amir Feder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Feder more than expected).

Fields of papers citing papers by Amir Feder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir Feder. 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 Amir Feder. The network helps show where Amir Feder may publish in the future.

Co-authorship network of co-authors of Amir Feder

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Feder. A scholar is included among the top collaborators of Amir Feder 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 Amir Feder. Amir Feder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

1.

Ofek, E. O., et al.. (2025). Confidence Improves Self-Consistency in LLMs. 20090–20111.

2.

Feder, Amir, et al.. (2025). Can LLMs Learn Macroeconomic Narratives from Social Media?. 57–78. 1 indexed citations

3.

Yona, Gal, Roee Aharoni, Matan Eyal, et al.. (2024). Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?. 7765–7784. 18 indexed citations

4.

Feder, Amir, et al.. (2022). Section Classification in Clinical Notes with Multi-task Transformers. 54–59. 3 indexed citations

5.

Jin, Zhijing, Amir Feder, & Kun Zhang. (2022). CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing. 17–22. 1 indexed citations

6.

Ben‐David, Eyal, et al.. (2022). DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7727–7746. 12 indexed citations

7.

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 →

8.

Hamrick, JT, Arghya Mukherjee, Amir Feder, et al.. (2021). An examination of the cryptocurrency pump-and-dump ecosystem. Information Processing & Management. 58(4). 102506–102506. 38 indexed citations

9.

Hoory, Shlomo, Amir Feder, Avichai Tendler, et al.. (2021). Learning and Evaluating a Differentially Private Pre-trained Language Model. 1178–1189. 22 indexed citations

10.

Feder, Amir, et al.. (2021). Model Compression for Domain Adaptation through Causal Effect Estimation. Transactions of the Association for Computational Linguistics. 9. 1355–1373. 5 indexed citations

11.

Feder, Amir, Avichai Tendler, Alon Cohen, et al.. (2021). Learning and Evaluating a Differentially Private Pre-trained Language Model. 21–29. 4 indexed citations

12.

Rosenberg, Daniel, Itai Gat, Amir Feder, & Roi Reichart. (2021). Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. 61–70. 7 indexed citations

13.

Feder, Amir, et al.. (2020). Active deep learning to detect demographic traits in free-form clinical notes. Journal of Biomedical Informatics. 107. 103436–103436. 14 indexed citations

14.

Feder, Amir, et al.. (2020). Predicting In-Game Actions from Interviews of NBA Players. Computational Linguistics. 46(3). 667–712. 11 indexed citations

15.

Feder, Amir, et al.. (2019). Predicting In-game Actions From the Language of NBA Players. arXiv (Cornell University). 1 indexed citations

16.

Feder, Amir, Neil Gandal, JT Hamrick, Tyler Moore, & Marie Vasek. (2018). The rise and fall of cryptocurrencies. 4 indexed citations

17.

Hamrick, JT, Arghya Mukherjee, Amir Feder, et al.. (2018). The Economics of Cryptocurrency Pump and Dump Schemes. SSRN Electronic Journal. 14 indexed citations

18.

Feder, Amir, Neil Gandal, JT Hamrick, & Tyler Moore. (2017). The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox. 3(2). 137–144. 67 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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