Michael Cochez
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
- Semantic Web and Ontologies
Papers in
-
- Advanced Graph Neural Networks 14
- Topic Modeling 12
- Semantic Web and Ontologies 7
- Domain Adaptation and Few-Shot Learning 3
- Algorithms and Data Compression 3
- Co-authors
- Stefan Decker (13 shared papers)Md. Rezaul Karim (8 shared papers)Oya Beyan (10 shared papers)Dietrich Rebholz‐Schuhmann (6 shared papers)Axel-Cyrille Ngonga Ngomo (4 shared papers)Anisa Rula (4 shared papers)Sabrina Kirrane (4 shared papers)Sabbir M. Rashid (3 shared papers)
- Journals
- Briefings in Bioinformatics (2 papers)Semantic Web (1 paper)Journal of Biomedical Semantics (1 paper)Information Sciences (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- GermanyNetherlandsFinland
In The Last Decade
Michael Cochez
44 papers receiving 1.6k citations
Michael Cochez's Hit Papers
Peers
Comparison fields: 5 of 153
- Health Informatics 71
- Artificial Intelligence 905
- Management Science and Operations Research 171
- Computational Theory and Mathematics 172
- Information Systems 237
Countries citing papers authored by Michael Cochez
This map shows the geographic impact of Michael Cochez'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 Cochez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Cochez more than expected).
Fields of papers citing papers by Michael Cochez
This network shows the impact of papers produced by Michael Cochez. 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 Cochez. The network helps show where Michael Cochez may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Cochez, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Knowledge Graphs Hit paper breakdown → | 2021 | 690 |
| 2 | 2019 | 186 | |
| 3 | 2019 | 105 | |
| 4 | 2020 | 98 | |
| 5 | 2023 | 86 | |
| 6 | 2020 | 52 | |
| 7 | 2021 | 52 | |
| 8 | 2022 | 52 | |
| 9 | 2017 | 47 | |
| 10 | 2021 | 44 | |
| 11 | DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images | 2020 | 43 |
| 12 | 2017 | 27 | |
| 13 | 2015 | 23 | |
| 14 | 2018 | 22 | |
| 15 | 2023 | 16 | |
| 16 | Complex Query Answering with Neural Link Predictors | 2021 | 16 |
| 17 | 2019 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2020 | 10 | |
| 20 | 2013 | 9 |
About Michael Cochez
Michael Cochez is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (14 papers), Topic Modeling (12 papers), Semantic Web and Ontologies (7 papers), Graph Theory and Algorithms (5 papers), Data Quality and Management (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Algorithms and Data Compression (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Health Informatics (71 citations), Artificial Intelligence (905 citations), Management Science and Operations Research (171 citations), Computational Theory and Mathematics (172 citations) and Information Systems (237 citations). Michael Cochez has collaborated with scholars based in Germany, Netherlands and Finland. Frequent co-authors include Stefan Decker, Md. Rezaul Karim, Oya Beyan, Dietrich Rebholz‐Schuhmann, Axel-Cyrille Ngonga Ngomo, Anisa Rula, Sabrina Kirrane, Sabbir M. Rashid, Juan Sequeda and Gerard de Melo. Their work appears in journals such as Briefings in Bioinformatics, Semantic Web, Journal of Biomedical Semantics, Information Sciences and Knowledge and Information Systems.
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.