Florian Wolf

724 citations
9 papers · 409 · h-index 7

Impact in

Papers in

    • Natural Language Processing Techniques 6
    • Topic Modeling 4
    • Speech and dialogue systems 2
    • Advanced Text Analysis Techniques 1
    • Text and Document Classification Technologies 1
    • Neurobiology of Language and Bilingualism 2

Florian Wolf

9 papers receiving 365 citations

Peers

Florian Wolf
Comparison fields: 5 of 38
  • Language and Linguistics 99
  • Artificial Intelligence 269
  • Developmental and Educational Psychology 76
  • Cognitive Neuroscience 95
  • Experimental and Cognitive Psychology 63
Replace Srinivas Narayanan with:
Srinivas Narayanan United States
Laura Kertz United States
Jan van Kuppevelt Netherlands
Vito Pirrelli Italy
Guy Denhière France
N.H.J. Oostdijk Netherlands
Mari Broman Olsen United States
Márta Abrusán France
Kristian Tangsgaard Hvelplund Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Florian Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Florian Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Florian Wolf, 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 Florian Wolf Line = papers co-authored together Florian Wolf links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005168
2 200471
3 200348
4 200447
5 200432
6
Coherence in Natural Language: Data Structures and Applications
200627
7 200413
8
Human Document Classification Using Bags of Words
20062
9 19761

About Florian Wolf

Florian Wolf is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials, having authored 9 papers that have together received 409 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers), Speech and dialogue systems (2 papers), Neurobiology of Language and Bilingualism (2 papers), Advanced Text Analysis Techniques (1 paper), Handwritten Text Recognition Techniques (1 paper), Reading and Literacy Development (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Language and Linguistics (99 citations), Artificial Intelligence (269 citations), Developmental and Educational Psychology (76 citations), Cognitive Neuroscience (95 citations) and Experimental and Cognitive Psychology (63 citations). Florian Wolf has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Edward Gibson, Timothy Desmet, Douglas A. Jones, Douglas A. Reynolds, Evelina Fedorenko, M.A. Zissman, Tomaso Poggio and Pawan Sinha. Their work appears in journals such as Computational Linguistics, Rubber Chemistry and Technology, Journal of Memory and Language, Language and Cognitive Processes and DSpace@MIT (Massachusetts Institute of Technology).

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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