Michael Hahn

681 citations
36 papers · 319 · h-index 11

Impact in

Papers in

Michael Hahn

29 papers receiving 295 citations

Peers

Michael Hahn
Comparison fields: 5 of 55
  • Artificial Intelligence 197
  • Developmental and Educational Psychology 51
  • Cognitive Neuroscience 75
  • Language and Linguistics 41
  • Cultural Studies 30
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Jeroen Geertzen Netherlands
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Citations per year

Countries citing papers authored by Michael Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Michael Hahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Hahn Line = papers co-authored together Michael Hahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202073
2 202239
3 202035
4 201629
5 201224
6
An information-theoretic explanation of adjective ordering preferences
201821
7
CoMeT: Integrating different levels of linguistic modeling for meaning assessment
201317
8 202112
9 202411
10 202210
11 202210
12 20227
13 20215
14 20194
15
Haribhaṭṭa and Gopadatta : two authors in the succession of Āryaśūra on the rediscovery of parts of their Jātakamālās
19772
16
Bauddhasāhityastabakāvalī : essays and studies on Buddhist Sanskrit literature, dedicated to Claus Vogel by colleagues, students, and friends
20082
17 20192
18 20122
19 20192
20
Poetical vision of the Buddha's former lives : seventeen legends from Haribhaṭṭa's Jātakamālā
20111

About Michael Hahn

Michael Hahn is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Language and Linguistics, Religious studies and Sociology and Political Science, having authored 36 papers that have together received 319 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Text Readability and Simplification (8 papers), Indian and Buddhist Studies (7 papers), Syntax, Semantics, Linguistic Variation (6 papers), Topic Modeling (6 papers), Language and cultural evolution (3 papers), Linguistic Variation and Morphology (3 papers) and Eurasian Exchange Networks (3 papers). The work is most often cited by research in Artificial Intelligence (197 citations), Developmental and Educational Psychology (51 citations), Cognitive Neuroscience (75 citations), Language and Linguistics (41 citations) and Cultural Studies (30 citations). Michael Hahn has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Richard Futrell, Frank Keller, Detmar Meurers, Dan Jurafsky, Roger Lévy, Edward Gibson, Judith Degen, Xue-Xin Wei, Richard Richard and Ramon Ziai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Transactions of the Association for Computational Linguistics, College English, Acta Orientalia and Frontiers in Communication.

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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