Jorge N. Tendeiro
- Management Science and Operations Research top 2%
- Statistics and Probability top 2%
- Clinical Psychology top 10%
- Sociology and Political Science top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Rob R. MeijerA. Susan M. NiessenHenk A. L. KiersJie LiMargaret StroebeRasmus SteinkraussHe SunKees de Bot
- Topics
- Psychometric Methodologies and Testing (18 papers)Statistical Methods and Bayesian Inference (9 papers)Advanced Statistical Modeling Techniques (8 papers)
- Cited by
- Computational MathematicsStatistics and ProbabilityManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPersonality and Individual Differences
- Partner nations
- NetherlandsJapanUnited States
In The Last Decade
Jorge N. Tendeiro
59 papers receiving 950 citations
Peers
Comparison fields: 5 of 120
- Management Science and Operations Research 235
- Statistics and Probability 180
- Clinical Psychology 171
- Sociology and Political Science 145
- Experimental and Cognitive Psychology 132
Countries citing papers authored by Jorge N. Tendeiro
This map shows the geographic impact of Jorge N. Tendeiro'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 Jorge N. Tendeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge N. Tendeiro more than expected).
Fields of papers citing papers by Jorge N. Tendeiro
This network shows the impact of papers produced by Jorge N. Tendeiro. 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 Jorge N. Tendeiro. The network helps show where Jorge N. Tendeiro may publish in the future.
Co-authorship network of co-authors of Jorge N. Tendeiro
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge N. Tendeiro. A scholar is included among the top collaborators of Jorge N. Tendeiro 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 Jorge N. Tendeiro. Jorge N. Tendeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | 8 | |
| 10 | 29 | |
| 11 | 10 | |
| 12 | 11 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 54 | |
| 16 | 27 | |
| 17 | 35 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | 3 |
About Jorge N. Tendeiro
Jorge N. Tendeiro is a scholar working on Computational Mathematics, General Decision Sciences and Statistics and Probability, having authored 63 papers that have together received 978 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (18 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Modeling Techniques (8 papers). The work is most often cited by research in Computational Mathematics (23 citations), Statistics and Probability (180 citations) and Management Science and Operations Research (235 citations). Jorge N. Tendeiro has collaborated with scholars based in Netherlands, Japan and United States. Frequent co-authors include Rob R. Meijer, A. Susan M. Niessen, Henk A. L. Kiers, Jie Li, Margaret Stroebe, Rasmus Steinkrauss, He Sun, Kees de Bot, Jos M. F. ten Berge and Don van Ravenzwaaij. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Personality and Individual Differences.
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.