Kristofer Månsson
- Statistics and Probability top 0.2%
- Statistics, Probability and Uncertainty top 0.5%
- Analytical Chemistry top 2%
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 5%
- Co-authors
- Ghazi ShukurB. M. Golam KibriaPär SjölanderMuhammad QasimR. Scott HackerAdewale F. LukmanMagnus SöderbergPer Sjölander
- Topics
- Advanced Statistical Methods and Models (38 papers)Statistical Methods and Inference (24 papers)Monetary Policy and Economic Impact (17 papers)
- Partner nations
- SwedenUnited StatesAustralia
In The Last Decade
Kristofer Månsson
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Statistics and Probability 1.1k
- Statistics, Probability and Uncertainty 499
- Analytical Chemistry 206
- Economics and Econometrics 180
- General Economics, Econometrics and Finance 101
Countries citing papers authored by Kristofer Månsson
This map shows the geographic impact of Kristofer Månsson'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 Kristofer Månsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristofer Månsson more than expected).
Fields of papers citing papers by Kristofer Månsson
This network shows the impact of papers produced by Kristofer Månsson. 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 Kristofer Månsson. The network helps show where Kristofer Månsson may publish in the future.
Co-authorship network of co-authors of Kristofer Månsson
This figure shows the co-authorship network connecting the top 25 collaborators of Kristofer Månsson. A scholar is included among the top collaborators of Kristofer Månsson 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 Kristofer Månsson. Kristofer Månsson 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 40 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 1 | |
| 10 | Performance of Some Ridge Regression Estimators for the Logistic Regression Model: An Empirical Comparison | 1 |
| 11 | 8 | |
| 12 | 16 | |
| 13 | 0 | |
| 14 | 9 | |
| 15 | 18 | |
| 16 | Issues of multicollinearity and conditional heteroscadasticity in time series econometrics | 8 |
| 17 | 88 | |
| 18 | 4 | |
| 19 | 18 | |
| 20 | On Developing Ridge Regression Parameters: A Graphical investigation | 44 |
About Kristofer Månsson
Kristofer Månsson is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Economics, Econometrics and Finance, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (38 papers), Statistical Methods and Inference (24 papers) and Monetary Policy and Economic Impact (17 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Statistics, Probability and Uncertainty (499 citations) and Analytical Chemistry (206 citations). Kristofer Månsson has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Ghazi Shukur, B. M. Golam Kibria, Pär Sjölander, B. M. Golam Kibria, Muhammad Qasim, R. Scott Hacker, Adewale F. Lukman, Magnus Söderberg, Per Sjölander and Muhammad Amin. Their work appears in journals such as Scientific Reports, Energy Economics and Sustainability.
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.