Michael Färber
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
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- Data Quality and Management
Papers in
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- Topic Modeling 22
- Natural Language Processing Techniques 15
- Semantic Web and Ontologies 12
- Advanced Text Analysis Techniques 10
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- Research Data Management Practices 6
- Co-authors
- Achim Rettinger (9 shared papers)Adam Jatowt (10 shared papers)Dimitri Kténas (3 shared papers)Xavier Mestre (1 shared paper)Leonardo Gomes Baltar (1 shared paper)Kilian Roth (1 shared paper)Oriol Font-Bach (1 shared paper)Jean‐Baptiste Doré (1 shared paper)
In The Last Decade
Michael Färber
61 papers receiving 715 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 369
- Management Science and Operations Research 118
- Information Systems 158
- Computer Networks and Communications 153
- Information Systems and Management 33
Countries citing papers authored by Michael Färber
This map shows the geographic impact of Michael Färber'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 Färber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Färber more than expected).
Fields of papers citing papers by Michael Färber
This network shows the impact of papers produced by Michael Färber. 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 Färber. The network helps show where Michael Färber may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Färber, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2017 | 157 | |
| 3 | 2020 | 57 | |
| 4 | 2012 | 45 | |
| 5 | 2020 | 23 | |
| 6 | 2022 | 21 | |
| 7 | Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing | 2020 | 21 |
| 8 | 2021 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2007 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2014 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2020 | 8 | |
| 16 | A High-Quality Gold Standard for Citation-based Tasks. | 2018 | 7 |
| 17 | Finding Temporal Trends of Scientific Concepts. | 2019 | 7 |
| 18 | 2024 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2020 | 7 |
About Michael Färber
Michael Färber is a scholar working on Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems and Management, having authored 69 papers that have together received 762 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (15 papers), Semantic Web and Ontologies (12 papers), Advanced Text Analysis Techniques (10 papers), Scientific Computing and Data Management (7 papers), Data Quality and Management (6 papers), Research Data Management Practices (6 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Artificial Intelligence (369 citations), Management Science and Operations Research (118 citations), Information Systems (158 citations), Computer Networks and Communications (153 citations) and Information Systems and Management (33 citations). Michael Färber has collaborated with scholars based in Germany, Japan and France. Frequent co-authors include Achim Rettinger, Adam Jatowt, Dimitri Kténas, Xavier Mestre, Leonardo Gomes Baltar, Kilian Roth, Oriol Font-Bach, Jean‐Baptiste Doré, Robin Gerzaguet and Miquel Payaró. Their work appears in journals such as Scientometrics, Language Resources and Evaluation, Semantic Web, Quantitative Science Studies and IEEE Vehicular Technology Magazine.
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.