Gus Hahn-Powell

449 total citations
18 papers, 212 citations indexed

About

Gus Hahn-Powell is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Gus Hahn-Powell has authored 18 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Molecular Biology and 2 papers in Language and Linguistics. Recurrent topics in Gus Hahn-Powell's work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Gus Hahn-Powell is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Biomedical Text Mining and Ontologies (5 papers). Gus Hahn-Powell collaborates with scholars based in United States. Gus Hahn-Powell's co-authors include Mihai Surdeanu, Marco A. Valenzuela-Escárcega, Robert Poole, Peter E. Clark, Daniel Fried, Diana Archangeli, Peter Jansen, Özgün Babur, Xia Wang and Emek Demir and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Language Resources and Evaluation.

In The Last Decade

Gus Hahn-Powell

17 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gus Hahn-Powell United States	7	121	61	33	26	17	18	212
Scott Farrar United States	7	176 1.5×	25 0.4×	11 0.3×	30 1.2×	49 2.9×	20	201
Susan Armstrong Switzerland	8	204 1.7×	22 0.4×	5 0.2×	28 1.1×	17 1.0×	23	233
Martin Reynaert Netherlands	8	205 1.7×	19 0.3×	26 0.8×	24 0.9×	34 2.0×	24	255
Menzo Windhouwer Netherlands	8	198 1.6×	27 0.4×	10 0.3×	69 2.7×	26 1.5×	40	272
Maud Ehrmann Switzerland	9	253 2.1×	15 0.2×	12 0.4×	49 1.9×	14 0.8×	30	311
Kalliopi Zervanou Netherlands	8	163 1.3×	35 0.6×	7 0.2×	34 1.3×	5 0.3×	31	209
E.F. Tjong Kim Sang Netherlands	7	237 2.0×	22 0.4×	4 0.1×	33 1.3×	34 2.0×	23	296
Pavel Straňák Czechia	8	368 3.0×	28 0.5×	5 0.2×	32 1.2×	18 1.1×	20	399
Simon Corston-Oliver United States	12	379 3.1×	16 0.3×	6 0.2×	46 1.8×	13 0.8×	28	416
Éric Villemonte de la Clergerie France	8	278 2.3×	25 0.4×	7 0.2×	19 0.7×	27 1.6×	54	291

Countries citing papers authored by Gus Hahn-Powell

Since Specialization

Citations

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

Fields of papers citing papers by Gus Hahn-Powell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gus Hahn-Powell. 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 Gus Hahn-Powell. The network helps show where Gus Hahn-Powell may publish in the future.

Co-authorship network of co-authors of Gus Hahn-Powell

This figure shows the co-authorship network connecting the top 25 collaborators of Gus Hahn-Powell. A scholar is included among the top collaborators of Gus Hahn-Powell 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 Gus Hahn-Powell. Gus Hahn-Powell 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

Hahn-Powell, Gus, et al.. (2025). Computer-assisted pronunciation training for foreign language learning of grammatical features. Language learning & technology. 29(1). 1–20.

Chen, Victor Zitian, et al.. (2023). Text to Causal Knowledge Graph: A Framework to Synthesize Knowledge from Unstructured Business Texts into Causal Graphs. Information. 14(7). 367–367. 2 indexed citations

Barbosa, George, et al.. (2022). A Human-machine Interface for Few-shot Rule Synthesis for Information Extraction. UA Campus Repository (The University of Arizona). 64–70. 1 indexed citations

Al-Bahrani, Reda, et al.. (2021). Country-level Arabic Dialect Identification using RNNs with and without Linguistic Features. 276–281. 2 indexed citations

Valenzuela-Escárcega, Marco A., et al.. (2020). Odinson: A Fast Rule-based Information Extraction Framework. Language Resources and Evaluation. 2183–2191. 6 indexed citations

Tang, Zheng, Gus Hahn-Powell, & Mihai Surdeanu. (2020). Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder. UA Campus Repository (The University of Arizona). 169–175. 6 indexed citations

Poole, Robert, et al.. (2019). Epistemic stance and the construction of knowledge in science writing: A diachronic corpus study. Journal of English for Academic Purposes. 42. 100784–100784. 43 indexed citations

Luo, Fan, Marco A. Valenzuela-Escárcega, Gus Hahn-Powell, & Mihai Surdeanu. (2018). Scientific Discovery as Link Prediction in Influence and Citation Graphs. 1–6. 1 indexed citations

Hahn-Powell, Gus, et al.. (2018). Science Citation Knowledge Extractor. SHILAP Revista de lepidopterología. 3. 3 indexed citations

10.

Valenzuela-Escárcega, Marco A., Özgün Babur, Gus Hahn-Powell, et al.. (2018). Large-scale automated machine reading discovers new cancer-driving mechanisms. Database. 2018. 37 indexed citations

11.

Hahn-Powell, Gus, Marco A. Valenzuela-Escárcega, & Mihai Surdeanu. (2017). Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph. 103–108. 4 indexed citations

12.

Forbes, Angus G., Kristine Lee, Gus Hahn-Powell, Marco A. Valenzuela-Escárcega, & Mihai Surdeanu. (2017). Text Annotation Graphs: Annotating Complex Natural Language Phenomena. 1047–1052. 1 indexed citations

13.

Hahn-Powell, Gus, et al.. (2016). An investigation of coreference phenomena in the biomedical domain. 2 indexed citations

14.

Valenzuela-Escárcega, Marco A., Gus Hahn-Powell, & Mihai Surdeanu. (2016). Odin’s Runes: A Rule Language for Information Extraction. 322–329. 21 indexed citations

15.

Fried, Daniel, Peter Jansen, Gus Hahn-Powell, Mihai Surdeanu, & Peter E. Clark. (2015). Higher-order Lexical Semantic Models for Non-factoid Answer Reranking. Transactions of the Association for Computational Linguistics. 3. 197–210. 27 indexed citations

16.

Valenzuela-Escárcega, Marco A., et al.. (2015). A Domain-independent Rule-based Framework for Event Extraction. 127–132. 46 indexed citations

17.

Hahn-Powell, Gus & Diana Archangeli. (2014). Testing AutoTrace: A machine-learning approach to automated tongue contour data extraction. The Journal of the Acoustical Society of America. 136(4_Supplement). 2082–2082. 2 indexed citations

18.

Hahn-Powell, Gus & Diana Archangeli. (2014). AutoTrace: An automatic system for tracing tongue contours. The Journal of the Acoustical Society of America. 136(4_Supplement). 2104–2104. 8 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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