Max Jakob E
Impact in
- Artificial Intelligence top 0.2%
- Semantic Web and Ontologies
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Information Systems top 1%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
-
- Topic Modeling 4
- Semantic Web and Ontologies 4
- Natural Language Processing Techniques 1
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- Big Data Technologies and Applications 1
- Co-authors
- Pablo N. Mendes (6 shared papers)Christian Bizer (5 shared papers)Andrés García-Silva (2 shared papers)Mohamed Morsey (1 shared paper)Dimitris Kontokostas (1 shared paper)Anja Jentzsch (1 shared paper)Sören Auer (1 shared paper)Robert Isele (1 shared paper)
- Journals
- Language Resources and Evaluation (2 papers)Semantic Web (1 paper)Studies in big data (1 paper)International Conference on Knowledge Capture (1 paper)MADOC (University of Mannheim) (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Max Jakob E
8 papers receiving 3.4k citations
Max Jakob E's Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 3k
- Information Systems 579
- Computer Science Applications 51
- Computer Vision and Pattern Recognition 205
- Geography, Planning and Development 48
Countries citing papers authored by Max Jakob E
This map shows the geographic impact of Max Jakob E'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 Max Jakob E with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Jakob E more than expected).
Fields of papers citing papers by Max Jakob E
This network shows the impact of papers produced by Max Jakob E. 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 Max Jakob E. The network helps show where Max Jakob E may publish in the future.
Co-authors
The 16 scholars most cited alongside Max Jakob E, 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 | DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia Hit paper breakdown → | 2015 | 2239 |
| 2 | DBpedia spotlight Hit paper breakdown → | 2011 | 891 |
| 3 | Improving efficiency and accuracy in multilingual entity extraction Hit paper breakdown → | 2013 | 374 |
| 4 | 2012 | 119 | |
| 5 | 2011 | 8 | |
| 6 | 2010 | 7 | |
| 7 | Evaluating DBpedia spotlight for the TAC-KBP Entity Linking Task | 2011 | 5 |
| 8 | 2014 | 2 |
About Max Jakob E
Max Jakob E is a scholar working on Artificial Intelligence, Information Systems and Management, Language and Linguistics, Information Systems and Nuclear Energy and Engineering, having authored 8 papers that have together received 3.6k indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Semantic Web and Ontologies (4 papers), Big Data Technologies and Applications (1 paper), Information Retrieval and Data Mining (1 paper), Syntax, Semantics, Linguistic Variation (1 paper), Natural Language Processing Techniques (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (3k citations), Information Systems (579 citations), Computer Science Applications (51 citations), Computer Vision and Pattern Recognition (205 citations) and Geography, Planning and Development (48 citations). Max Jakob E has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Pablo N. Mendes, Christian Bizer, Andrés García-Silva, Mohamed Morsey, Dimitris Kontokostas, Anja Jentzsch, Sören Auer, Robert Isele, Sebastian Hellmann and Jens Lehmann. Their work appears in journals such as Language Resources and Evaluation, Semantic Web, Studies in big data, International Conference on Knowledge Capture and MADOC (University of Mannheim).
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.