J. Douglas Carroll
About
In The Last Decade
J. Douglas Carroll
111 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Computational Mathematics 1.9k
- Artificial Intelligence 1.1k
- Signal Processing 1.0k
- Marketing 1.0k
- Food Science 917
Countries citing papers authored by J. Douglas Carroll
This map shows the geographic impact of J. Douglas Carroll'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 J. Douglas Carroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Douglas Carroll more than expected).
Fields of papers citing papers by J. Douglas Carroll
This network shows the impact of papers produced by J. Douglas Carroll. 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 J. Douglas Carroll. The network helps show where J. Douglas Carroll may publish in the future.
Co-authorship network of co-authors of J. Douglas Carroll
This figure shows the co-authorship network connecting the top 25 collaborators of J. Douglas Carroll. A scholar is included among the top collaborators of J. Douglas Carroll 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 J. Douglas Carroll. J. Douglas Carroll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Multidimensional Scaling: An Overview with Applications in Educational Research | 1 |
| 3 | A quasi-nonmetric method for multidimensional scaling of multiway data via a restricted case of an extended indscal model | 12 |
| 4 | Ultrametric tree representations of three-way three-mode data | 1 |
| 5 | Fitting of the Latent Class model via iteratively reweighted least squares CANDECOMP with nonnegativity constraints | 13 |
| 6 | A New Stochastic Ultrametric Tree Unfolding Methodology for Assessing Competitive Market Structure and Deriving Market Segments | 0 |
| 7 | Stochastic Tree Unfolding (STUN) Models | 3 |
| 8 | 4 | |
| 9 | 14 | |
| 10 | The Wandering Ideal Point Model: A Probabilistic Multidimensional Unfolding Model for Paired Comparisons Data | 3 |
| 11 | A GEODEMOGRAPHIC MODEL FOR BUS SERVICE PLANNING AND MARKETING | 4 |
| 12 | Alternating Least Squares Optimal Variable Weighting Algorithms for Ultrametric and Additive Tree Representations | 1 |
| 13 | 127 | |
| 14 | 21 | |
| 15 | Two-Way Spatial Methods For Modeling Individual Differences in Preference | 0 |
| 16 | USING THE 1980 CENSUS TO EVALUATE THE EQUITY OF TRANSIT SERVICE IN NORTHERN NEW JERSEY | 2 |
| 17 | Three-Way Metric Unfolding | 4 |
| 18 | 232 | |
| 19 | THE CHICAGO TRANSPORTATION STUDY | 1 |
| 20 | PLANNING AND URBAN AREA TRANSPORTATION STUDIES | 1 |
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.