Edward E. Roskam

668 citations
15 papers · 397 · h-index 8

Impact in

Papers in

Edward E. Roskam

14 papers receiving 355 citations

Peers

Edward E. Roskam
Comparison fields: 5 of 115
  • Computational Mathematics 24
  • General Decision Sciences 19
  • Statistics and Probability 65
  • Management Science and Operations Research 79
  • Experimental and Cognitive Psychology 61
Replace Andrew K. Clark with:
Andrew K. Clark Canada
Iwin Leenen Mexico
Joseph L. Zinnes United States
Kensuke Okada Japan
Akinori Okada Japan
Walter Kristof United States
Terry C. Gleason United States
J. E. Keith Smith United States
Patrick Slater United Kingdom
Raymond F. Koopman Canada
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Citations per field
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Citations per year

Countries citing papers authored by Edward E. Roskam

Since Specialization
Citations

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

Fields of papers citing papers by Edward E. Roskam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward E. Roskam. 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 Edward E. Roskam. The network helps show where Edward E. Roskam may publish in the future.

Co-authors

The 9 scholars most cited alongside Edward E. Roskam, 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 Edward E. Roskam Line = papers co-authored together Edward E. Roskam links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1981114
2 198962
3
A mathematical and empirical analysis of two multidimensional scaling algorithms
197348
4 198638
5 197733
6 199532
7 198631
8 198911
9
Concentration, speed and precision in simple mental tasks
19877
10 19777
11
Discussion on the usefulness of the Mokken procedure for nonparametric scaling
19844
12 19924
13
Latent-Trait-Modelle
19964
14
Rasch model from consistent stochastic ordering
19921
15 19921

About Edward E. Roskam

Edward E. Roskam is a scholar working on Artificial Intelligence, Management Science and Operations Research, Social Psychology, Computational Theory and Mathematics and Food Science, having authored 15 papers that have together received 397 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (3 papers), Behavioral and Psychological Studies (2 papers), Cognitive Science and Mapping (2 papers), Bullying, Victimization, and Aggression (1 paper), Face and Expression Recognition (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Tensor decomposition and applications (1 paper) and Matrix Theory and Algorithms (1 paper). The work is most often cited by research in Computational Mathematics (24 citations), General Decision Sciences (19 citations), Statistics and Probability (65 citations), Management Science and Operations Research (79 citations) and Experimental and Cognitive Psychology (61 citations). Edward E. Roskam has collaborated with scholars based in Netherlands, Sweden and United States. Frequent co-authors include James C. Lingoes, Paul Jansen, J. Edward Jackson, Ingwer Borg, Hannes Eisler, Arnold L. van den Wollenberg, Paul Eling, Jules L. Ellis and Gerard van Breukelen. Their work appears in journals such as Psychometrika, Multivariate Behavioral Research, Acta Psychologica, Brain and Cognition and Applied Psychological Measurement.

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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