Max Jakob
- Artificial Intelligence top 0.5%
- Information Systems top 1%
- Management Science and Operations Research top 1%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Co-authors
- Pablo N. MendesChristian BizerSebastian HellmannMohamed MorseyJens LehmannAnja JentzschSören AuerAndrés García-Silva
- Topics
- Natural Language Processing Techniques (6 papers)Semantic Web and Ontologies (6 papers)Topic Modeling (2 papers)
- Journals
- Language Resources and EvaluationSemantic WebJournal of Bioresource Management
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Max Jakob
7 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 2.3k
- Information Systems 613
- Management Science and Operations Research 514
- Computer Vision and Pattern Recognition 285
- Molecular Biology 279
Countries citing papers authored by Max Jakob
This map shows the geographic impact of Max Jakob'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 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 more than expected).
Fields of papers citing papers by Max Jakob
This network shows the impact of papers produced by Max Jakob. 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. The network helps show where Max Jakob may publish in the future.
Co-authorship network of co-authors of Max Jakob
This figure shows the co-authorship network connecting the top 25 collaborators of Max Jakob. A scholar is included among the top collaborators of Max Jakob based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Max Jakob. Max Jakob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | DBpedia – A large-scale, multilingual knowledge base extracted from Wikipediabreakdown → | 1616 |
| 2 | Improving efficiency and accuracy in multilingual entity extractionbreakdown → | 277 |
| 3 | DBpedia: A Multilingual Cross-domain Knowledge Base | 97 |
| 4 | DBpedia spotlightbreakdown → | 581 |
| 5 | 6 | |
| 6 | Mapping between Dependency Structures and Compositional Semantic Representations. | 5 |
| 7 | 2 |
About Max Jakob
Max Jakob is a scholar working on Artificial Intelligence, Hardware and Architecture and Communication, having authored 7 papers that have together received 2.6k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (6 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Management Science and Operations Research (514 citations) and Information Systems (613 citations). Max Jakob has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Pablo N. Mendes, Christian Bizer, Sebastian Hellmann, Mohamed Morsey, Jens Lehmann, Anja Jentzsch, Sören Auer, Andrés García-Silva, Robert Isele and Dimitris Kontokostas. Their work appears in journals such as Language Resources and Evaluation, Semantic Web and Journal of Bioresource Management.
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.