Mårten Schultzberg

404 citations
10 papers · 251 · h-index 6

Impact in

Papers in

Mårten Schultzberg

9 papers receiving 243 citations

Peers

Mårten Schultzberg
Comparison fields: 5 of 65
  • Experimental and Cognitive Psychology 90
  • Applied Psychology 28
  • Statistics and Probability 38
  • Clinical Psychology 48
  • Social Psychology 40
Replace Hedyeh Ahmadi with:
Hedyeh Ahmadi United States
Anja F. Ernst Netherlands
Jean‐Christophe Goulet‐Pelletier Canada
Tova Stenlund Sweden
Hongbo Wen China
Huub Hoofs Netherlands
Cara Arizmendi United States
Iván Blanco Spain
Dale J. Shaw United States
Bjørn Sætrevik Norway
Mårten Schultzberg relative to Hedyeh Ahmadi United States Hedyeh Ahmadi's profile →
Citations per field
00.5×2.9×
Hedyeh Ahmadi · 1×
Citations per year

Countries citing papers authored by Mårten Schultzberg

Since Specialization
Citations

This map shows the geographic impact of Mårten Schultzberg'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 Mårten Schultzberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mårten Schultzberg more than expected).

Fields of papers citing papers by Mårten Schultzberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mårten Schultzberg. 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 Mårten Schultzberg. The network helps show where Mårten Schultzberg may publish in the future.

Co-authors

The 7 scholars most cited alongside Mårten Schultzberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mårten Schultzberg Line = papers co-authored together Mårten Schultzberg links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2017177
2 202020
3 201917
4 201916
5 20208
6 20217
7 20213
8 20212
9 20221
10 20250

About Mårten Schultzberg

Mårten Schultzberg is a scholar working on Statistics and Probability, Management Science and Operations Research, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Control and Systems Engineering, having authored 10 papers that have together received 251 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Statistical Methods and Bayesian Inference (3 papers), Smart Grid Energy Management (3 papers), Energy Efficiency and Management (2 papers), Advanced Causal Inference Techniques (2 papers), Statistical Methods and Inference (2 papers), Optimal Experimental Design Methods (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (90 citations), Applied Psychology (28 citations), Statistics and Probability (38 citations), Clinical Psychology (48 citations) and Social Psychology (40 citations). Mårten Schultzberg has collaborated with scholars based in Sweden and China. Frequent co-authors include Bengt Muthén, Per Johansson, Cajsa Bartusch, Mattias Nordin, Donald B. Rubin, Fredrik Huss and Folke Sjöberg. Their work appears in journals such as Structural Equation Modeling A Multidisciplinary Journal, Energy Research & Social Science, Journal of Empirical Research on Human Research Ethics, Energy and Applied Energy.

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.

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