Peter Hase

666 total citations
7 papers, 138 citations indexed

About

Peter Hase is a scholar working on Artificial Intelligence, General Social Sciences and Infectious Diseases. According to data from OpenAlex, Peter Hase has authored 7 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in General Social Sciences and 0 papers in Infectious Diseases. Recurrent topics in Peter Hase's work include Explainable Artificial Intelligence (XAI) (4 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (3 papers). Peter Hase is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Topic Modeling (4 papers) and Natural Language Processing Techniques (3 papers). Peter Hase collaborates with scholars based in United States and Germany. Peter Hase's co-authors include Mohit Bansal, Chaofan Chen, Oscar Li, Cynthia Rudin, Shiyue Zhang, Nazneen Fatema Rajani, Han Guo, Caiming Xiong, Mona Diab and Veselin Stoyanov and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.

In The Last Decade

Peter Hase

6 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Hase United States 5 119 32 7 7 6 7 138
Jiangtao Feng China 6 161 1.4× 59 1.8× 4 0.6× 5 0.7× 1 0.2× 19 190
Francis Song United States 3 106 0.9× 16 0.5× 17 2.4× 7 1.0× 2 0.3× 4 148
Yunhui Long United States 5 122 1.0× 16 0.5× 6 0.9× 3 0.4× 3 0.5× 9 133
Thomas Scialom France 6 158 1.3× 46 1.4× 8 1.1× 5 0.7× 1 0.2× 12 178
Tosin Adewumi Sweden 7 73 0.6× 16 0.5× 5 0.7× 2 0.3× 3 0.5× 18 101
Piyawat Lertvittayakumjorn United Kingdom 6 105 0.9× 21 0.7× 7 1.0× 2 0.3× 4 0.7× 19 127
Yafu Li China 6 77 0.6× 20 0.6× 5 0.7× 3 0.4× 3 0.5× 17 108
Khalid Almubarak Saudi Arabia 4 183 1.5× 31 1.0× 11 1.6× 4 0.6× 1 0.2× 9 217
Jasmijn Bastings United States 5 164 1.4× 37 1.2× 8 1.1× 2 0.3× 8 1.3× 8 195
Wenyue Hua United States 8 67 0.6× 9 0.3× 12 1.7× 6 0.9× 4 0.7× 21 104

Countries citing papers authored by Peter Hase

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Hase

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

All Works

7 of 7 papers shown
1.
Hase, Peter, Mohit Bansal, Peter E. Clark, & Sarah Wiegreffe. (2024). The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. 7002–7024.
2.
Hase, Peter, Mona Diab, Aslı Çelikyılmaz, et al.. (2023). Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. 2714–2731. 15 indexed citations
3.
Saha, Swarnadeep, Peter Hase, Nazneen Fatema Rajani, & Mohit Bansal. (2022). Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. 2121–2131. 5 indexed citations
4.
Guo, Han, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, & Caiming Xiong. (2021). FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 10333–10350. 24 indexed citations
5.
6.
Hase, Peter, Chaofan Chen, Oscar Li, & Cynthia Rudin. (2019). Interpretable Image Recognition with Hierarchical Prototypes. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 7. 32–40. 55 indexed citations
7.

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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