David J. Schoeneck
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Statistics, Probability and Uncertainty top 5%
- Management of Technology and Innovation top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Alan L. PorterJan YoutiePhilip ShapiraFadlo R. KhuriMourad TighiouartAndré RogatkoDavid RoessnerRonald N. Kostoff
- Topics
- scientometrics and bibliometrics research (4 papers)Big Data and Business Intelligence (2 papers)Online Learning and Analytics (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement of Technology and Innovation
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
David J. Schoeneck
8 papers receiving 435 citations
Peers
Comparison fields: 5 of 102
- Economics and Econometrics 144
- Statistics and Probability 122
- Statistics, Probability and Uncertainty 87
- Management of Technology and Innovation 84
- Management Science and Operations Research 80
Countries citing papers authored by David J. Schoeneck
This map shows the geographic impact of David J. Schoeneck'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 David J. Schoeneck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Schoeneck more than expected).
Fields of papers citing papers by David J. Schoeneck
This network shows the impact of papers produced by David J. Schoeneck. 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 David J. Schoeneck. The network helps show where David J. Schoeneck may publish in the future.
Co-authorship network of co-authors of David J. Schoeneck
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Schoeneck. A scholar is included among the top collaborators of David J. Schoeneck 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 David J. Schoeneck. David J. Schoeneck 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 | 2 | |
| 3 | 6 | |
| 4 | PICMET empirically: Tracking 14 Management of Technology topics | 4 |
| 5 | 12 | |
| 6 | 16 | |
| 7 | 147 | |
| 8 | 261 | |
| 9 | 3 |
About David J. Schoeneck
David J. Schoeneck is a scholar working on Statistics, Probability and Uncertainty, Human Factors and Ergonomics and Computer Science Applications, having authored 9 papers that have together received 451 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (4 papers), Big Data and Business Intelligence (2 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Statistics and Probability (122 citations), Statistics, Probability and Uncertainty (87 citations) and Management of Technology and Innovation (84 citations). David J. Schoeneck has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alan L. Porter, Jan Youtie, Philip Shapira, Fadlo R. Khuri, Mourad Tighiouart, André Rogatko, David Roessner, Ronald N. Kostoff, Nils C. Newman and Seokbeom Kwon. Their work appears in journals such as Journal of Clinical Oncology, Technological Forecasting and Social Change and Scientometrics.
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.