Tom De Smedt
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Immunology and Allergy top 5%
- Gender Studies top 10%
- Information Systems top 10%
- Co-authors
- Walter DaelemansDavid MartensEnric Junqué de FortunyGuy De PauwKaatje BollaertsKoen SimonsLucie HoebekeAnn Packeu
- Topics
- Influenza Virus Research Studies (6 papers)Vaccine Coverage and Hesitancy (6 papers)Carcinogens and Genotoxicity Assessment (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- BelgiumGermanyNetherlands
In The Last Decade
Tom De Smedt
29 papers receiving 675 citations
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 237
- Sociology and Political Science 121
- Immunology and Allergy 91
- Gender Studies 76
- Information Systems 75
Countries citing papers authored by Tom De Smedt
This map shows the geographic impact of Tom De Smedt'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 Tom De Smedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom De Smedt more than expected).
Fields of papers citing papers by Tom De Smedt
This network shows the impact of papers produced by Tom De Smedt. 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 Tom De Smedt. The network helps show where Tom De Smedt may publish in the future.
Co-authorship network of co-authors of Tom De Smedt
This figure shows the co-authorship network connecting the top 25 collaborators of Tom De Smedt. A scholar is included among the top collaborators of Tom De Smedt 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 Tom De Smedt. Tom De Smedt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | Sentiment in TV Documentaries: An Interdisciplinary Approach | 1 |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 30 | |
| 9 | 1 | |
| 10 | 63 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 70 | |
| 17 | 5 | |
| 18 | 164 | |
| 19 | ``Vreselijk mooi!'' (terribly beautiful): A Subjectivity Lexicon for Dutch Adjectives. | 34 |
| 20 | 9 |
About Tom De Smedt
Tom De Smedt is a scholar working on Health, Toxicology and Family Practice, having authored 31 papers that have together received 729 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Vaccine Coverage and Hesitancy (6 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Immunology and Allergy (91 citations), Communication (63 citations) and Gender Studies (76 citations). Tom De Smedt has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include Walter Daelemans, David Martens, Enric Junqué de Fortuny, Guy De Pauw, Kaatje Bollaerts, Koen Simons, Lucie Hoebeke, Ann Packeu, Andy Delcloo and Marijke Hendrickx. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.