Alexander Spangher

612 total citations
10 papers, 34 citations indexed

About

Alexander Spangher is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Alexander Spangher has authored 10 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Alexander Spangher's work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Innovative Teaching and Learning Methods (1 paper). Alexander Spangher is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Innovative Teaching and Learning Methods (1 paper). Alexander Spangher collaborates with scholars based in United States, United Kingdom and Italy. Alexander Spangher's co-authors include Jonathan May, Nanyun Peng, Lingjia Deng, Gireeja Ranade, Emilio Ferrara, Eric Horvitz, Xiang Ren, Muhao Chen, Xinyu Hua and Adam Fourney and has published in prestigious journals such as Journal of Fusion Energy, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Alexander Spangher

7 papers receiving 34 citations

Peers

Alexander Spangher

AI

SPS

IS

CVPR

COMMU

Lucas Hosseini France

George Zerveas United States

Carolin Lawrence Germany

Daniel Y. Fu United States

Clemencia Siro Netherlands

Soumya Sanyal United States

Shikib Mehri United States

Zhaomin Xiao United States

David Ha Japan

Damien Sileo France

Lucas Hosseini France

Alexander Spangher

14 ×0.5

AI

4 ×0.8

SPS

5 ×1.3

IS

3 ×0.8

CVPR

5 ×1.7

COMMU

Citations per year, relative to Alexander Spangher Alexander Spangher (= 1×) peers Lucas Hosseini

Countries citing papers authored by Alexander Spangher

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Spangher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Spangher

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

All Works

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10 of 10 papers shown

1.

Spangher, Alexander, et al.. (2025). Spatial Layouts in News Homepages Capture Human Preferences. 33392–33408.

2.

Spangher, Alexander, et al.. (2025). Creative Planning with Language Models: Practice, Evaluation and Applications. 1–9.

3.

Arnold, William A., et al.. (2025). DisruptionBench and Complimentary New Models: Two Advancements in Machine Learning Driven Disruption Prediction. Journal of Fusion Energy. 44(1).

4.

Spangher, Alexander, et al.. (2024). Are Large Language Models Capable of Generating Human-Level Narratives?. 17659–17681. 7 indexed citations

5.

Wu, Te-Lin, et al.. (2023). Learning Action Conditions from Instructional Manuals for Instruction Understanding. 3023–3043. 1 indexed citations

6.

Spangher, Alexander, et al.. (2022). Sequentially Controlled Text Generation. 6848–6866. 2 indexed citations

7.

Spangher, Alexander, Xiang Ren, Jonathan May, & Nanyun Peng. (2022). NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 127–157. 5 indexed citations

8.

Spangher, Alexander, et al.. (2021). Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 498–517. 13 indexed citations

9.

Spangher, Alexander, Nanyun Peng, Jonathan May, & Emilio Ferrara. (2020). Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training. 3 indexed citations

10.

Spangher, Alexander, Gireeja Ranade, Besmira Nushi, Adam Fourney, & Eric Horvitz. (2020). Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. 2253–2263. 3 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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