Hermann Moisl

759 citations
18 papers · 224 · h-index 5

Impact in

    • Linguistic Variation and Morphology
    • Natural Language Processing Techniques
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Semantic Web and Ontologies
    • Authorship Attribution and Profiling
    • Speech and dialogue systems

Papers in

Hermann Moisl

14 papers receiving 199 citations

Peers

Hermann Moisl
Comparison fields: 5 of 72
  • Linguistics and Language 26
  • Artificial Intelligence 131
  • Language and Linguistics 42
  • Classics 13
  • Information Systems 34
Replace Ioan-Iovitz Popescu with:
Ioan-Iovitz Popescu Romania
Alexis Palmer Germany
Antonio Moreno Sandoval Spain
Tamás Váradi Hungary
Jan Strunk Germany
Alina Maria Ciobanu Romania
Piotr Pęzik Poland
Ines Rehbein Germany
Amir Zeldes United States
J. F. Burrows Australia
Hermann Moisl relative to Ioan-Iovitz Popescu Romania Ioan-Iovitz Popescu's profile →
Citations per field
00.5×6.5×
Ioan-Iovitz Popescu · 1×
Citations per year

Countries citing papers authored by Hermann Moisl

Since Specialization
Citations

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

Fields of papers citing papers by Hermann Moisl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Hermann Moisl, 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 Hermann Moisl Line = papers co-authored together Hermann Moisl links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2001124
2 201541
3 201313
4 198112
5 200711
6 20104
7 20094
8 20113
9 19923
10 19833
11
Data Normalization for Variation in Document Length in Exploratory Multivariate Analysis of Text Corpora
20082
12
Newcastle Electronic Corpus of Tyneside English (NECTE)
20072
13 20071
14 20081
15 20220
16 20200
17 20130
18 20210

About Hermann Moisl

Hermann Moisl is a scholar working on Artificial Intelligence, Linguistics and Language, Language and Linguistics, Information Systems and Classics, having authored 18 papers that have together received 224 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Linguistic Variation and Morphology (4 papers), Lexicography and Language Studies (3 papers), Advanced Text Analysis Techniques (2 papers), Cognitive Science and Education Research (2 papers), Advanced Clustering Algorithms Research (2 papers), Data Mining Algorithms and Applications (2 papers) and Medieval Literature and History (2 papers). The work is most often cited by research in Linguistics and Language (26 citations), Artificial Intelligence (131 citations), Language and Linguistics (42 citations), Classics (13 citations) and Information Systems (34 citations). Hermann Moisl has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Robert Dale, Harold Somers, Joan C. Beal, Karen P. Corrigan and Warren Maguire. Their work appears in journals such as Journal of Quantitative Linguistics, Computational Linguistics, Peritia, Corpus Linguistics and Linguistic Theory and Minds and Machines.

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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