Erik van der Goot
- Artificial Intelligence top 10%
- Epidemiology
- Information Systems top 10%
- Sociology and Political Science
- Molecular Biology
- Co-authors
- Martin AtkinsonRalf SteinbergerMijail KabadjovBruno PouliquenAlexandra BalahurJens P. LingeAgnès RortaisJosef Steinberger
- Topics
- Topic Modeling (5 papers)Data-Driven Disease Surveillance (4 papers)Sentiment Analysis and Opinion Mining (3 papers)
- Partner nations
- ItalySwedenUnited Kingdom
In The Last Decade
Erik van der Goot
12 papers receiving 248 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 165
- Epidemiology 55
- Information Systems 51
- Sociology and Political Science 35
- Molecular Biology 24
Countries citing papers authored by Erik van der Goot
This map shows the geographic impact of Erik van der Goot'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 Erik van der Goot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik van der Goot more than expected).
Fields of papers citing papers by Erik van der Goot
This network shows the impact of papers produced by Erik van der Goot. 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 Erik van der Goot. The network helps show where Erik van der Goot may publish in the future.
Co-authorship network of co-authors of Erik van der Goot
This figure shows the co-authorship network connecting the top 25 collaborators of Erik van der Goot. A scholar is included among the top collaborators of Erik van der Goot 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 Erik van der Goot. Erik van der Goot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 49 | |
| 4 | 5 | |
| 5 | Multilingual Entity-Centered Sentiment Analysis Evaluated by Parallel Corpora | 36 |
| 6 | 21 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 44 | |
| 11 | 68 | |
| 12 | 7 |
About Erik van der Goot
Erik van der Goot is a scholar working on Artificial Intelligence, Epidemiology and Organizational Behavior and Human Resource Management, having authored 12 papers that have together received 279 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Data-Driven Disease Surveillance (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Artificial Intelligence (165 citations), Modeling and Simulation (12 citations) and Information Systems (51 citations). Erik van der Goot has collaborated with scholars based in Italy, Sweden and United Kingdom. Frequent co-authors include Martin Atkinson, Ralf Steinberger, Mijail Kabadjov, Bruno Pouliquen, Alexandra Balahur, Jens P. Linge, Agnès Rortais, Josef Steinberger, Paloma Martı́nez and Iwan Supit. Their work appears in journals such as Food Research International, Clinical Microbiology and Infection and Ecological Modelling.
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.