Andreas Hotho
- Artificial Intelligence top 0.2%
- Semantic Web and Ontologies 34
- Topic Modeling 31
- Natural Language Processing Techniques 28
- Information Systems top 0.2%
- Web Data Mining and Analysis 28
- Recommender Systems and Techniques 27
- Signal Processing top 1%
- Data Management and Algorithms 20
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- Advanced Database Systems and Queries 14
- Computational Mathematics top 5%
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- Complex Network Analysis Techniques 21
- Co-authors
- Gerd StummeSteffen StaabGerhard PaaßAndreas NürnbergerMarkus RingDieter LandesPhilipp CimianoRobert Jäschke
- Journals
- Computers & Security (4 papers)Journal of Web Semantics (3 papers)Data Mining and Knowledge Discovery (3 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Andreas Hotho
173 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 2.9k
- Information Systems 1.8k
- Signal Processing 719
- Computer Networks and Communications 1.2k
- Computational Mathematics 23
Countries citing papers authored by Andreas Hotho
This map shows the geographic impact of Andreas Hotho'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 Andreas Hotho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Hotho more than expected).
Fields of papers citing papers by Andreas Hotho
This network shows the impact of papers produced by Andreas Hotho. 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 Andreas Hotho. The network helps show where Andreas Hotho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Hotho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 19 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 81 | |
| 8 | Mapping Bibliographic Records with Bibliographic Hash Keys | 2009 | 2 |
| 9 | Mining the World Wide Web. | 2007 | 1 |
| 10 | 2007 | 132 | |
| 11 | Conceptual Clustering of Social Bookmarking Sites. | 2007 | 18 |
| 12 | 2006 | 91 | |
| 13 | FolkRank: A Ranking Algorithm for Folksonomies | 2006 | 98 |
| 14 | Wege zur Entdeckung von Communities in Folksonomies | 2006 | 1 |
| 15 | Emergent Semantics in BibSonomy. | 2006 | 24 |
| 16 | 2005 | 28 | |
| 17 | Collaborative and Usage-driven Evolution of Personal Ontologies. | 2005 | 5 |
| 18 | Web Mining: From Web to Semantic Web: First European Web Mining Forum, EWMF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers (Lecture Notes in Computer Science) | 2004 | 5 |
| 19 | 2004 | 0 | |
| 20 | 2001 | 13 |
About Andreas Hotho
Andreas Hotho is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 189 papers that have together received 4.8k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (34 papers), Topic Modeling (31 papers), Natural Language Processing Techniques (28 papers), Web Data Mining and Analysis (28 papers), Recommender Systems and Techniques (27 papers), Complex Network Analysis Techniques (21 papers), Data Management and Algorithms (20 papers) and Advanced Database Systems and Queries (14 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Information Systems (1.8k citations) and Signal Processing (719 citations). Andreas Hotho has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Gerd Stumme, Steffen Staab, Gerhard Paaß, Andreas Nürnberger, Markus Ring, Dieter Landes, Philipp Cimiano, Robert Jäschke, Christoph Schmitz and Dominik C. Benz. Their work appears in journals such as Computers & Security, Journal of Web Semantics, Data Mining and Knowledge Discovery, PLoS ONE and ACM Transactions on the Web.
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.