Achim G. Hoffmann
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- AI-based Problem Solving and Planning
- Information Systems top 5%
- Service-Oriented Architecture and Web Services
Papers in
-
- Topic Modeling 23
- Natural Language Processing Techniques 23
- Semantic Web and Ontologies 23
- AI-based Problem Solving and Planning 12
- Advanced Text Analysis Techniques 11
- Logic, Reasoning, and Knowledge 6
-
- Web Data Mining and Analysis 5
- Co-authors
- Claude Sammut (2 shared papers)Filippo Galgani (8 shared papers)Paul Compton (10 shared papers)Ghassan Beydoun (12 shared papers)Abdus Salam Khan (6 shared papers)Son Bao Pham (8 shared papers)Rafael Valencia‐García (3 shared papers)Rodrigo Martínez‐Béjar (3 shared papers)
In The Last Decade
Achim G. Hoffmann
71 papers receiving 817 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 627
- Information Systems 212
- Management Information Systems 46
- Software 21
- Computational Mathematics 3
Countries citing papers authored by Achim G. Hoffmann
This map shows the geographic impact of Achim G. Hoffmann'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 Achim G. Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Achim G. Hoffmann more than expected).
Fields of papers citing papers by Achim G. Hoffmann
This network shows the impact of papers produced by Achim G. Hoffmann. 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 Achim G. Hoffmann. The network helps show where Achim G. Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Achim G. Hoffmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of the Nineteenth International Conference on Machine Learning | 2002 | 149 |
| 2 | Combining Different Summarization Techniques for Legal Text | 2012 | 61 |
| 3 | 2003 | 52 | |
| 4 | 2012 | 43 | |
| 5 | 2012 | 36 | |
| 6 | 2003 | 35 | |
| 7 | 2006 | 34 | |
| 8 | 2014 | 25 | |
| 9 | 2000 | 25 | |
| 10 | 2005 | 25 | |
| 11 | 2012 | 22 | |
| 12 | 2015 | 22 | |
| 13 | 2010 | 21 | |
| 14 | 2001 | 21 | |
| 15 | 1997 | 16 | |
| 16 | 2014 | 15 | |
| 17 | 1994 | 14 | |
| 18 | 1997 | 12 | |
| 19 | 2010 | 12 | |
| 20 | 2003 | 11 |
About Achim G. Hoffmann
Achim G. Hoffmann is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Networks and Communications and Management Information Systems, having authored 80 papers that have together received 876 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (23 papers), Semantic Web and Ontologies (23 papers), AI-based Problem Solving and Planning (12 papers), Advanced Text Analysis Techniques (11 papers), Logic, Reasoning, and Knowledge (6 papers), Computability, Logic, AI Algorithms (6 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (627 citations), Information Systems (212 citations), Management Information Systems (46 citations), Software (21 citations) and Computational Mathematics (3 citations). Achim G. Hoffmann has collaborated with scholars based in Australia, Germany and Japan. Frequent co-authors include Claude Sammut, Filippo Galgani, Paul Compton, Ghassan Beydoun, Abdus Salam Khan, Son Bao Pham, Rafael Valencia‐García, Rodrigo Martínez‐Béjar, Byeong Ho Kang and Ashesh Mahidadia. Their work appears in journals such as Lecture notes in computer science, International Journal of Human-Computer Studies, Complex & Intelligent Systems, Artificial Intelligence in Medicine 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.