John Silberholz
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 3
- Healthcare Policy and Management 2
-
- Advanced Causal Inference Techniques 4
- Statistical Methods in Clinical Trials 4
- Co-authors
- Dimitris Bertsimas (7 shared papers)Iain Dunning (2 shared papers)Swati Gupta (1 shared paper)Bruce Golden (4 shared papers)Erik Brynjolfsson (3 shared papers)Thomas A Trikalinos (1 shared paper)Jack Dunn (1 shared paper)Linda T. Vahdat (1 shared paper)
- Journals
- Management Science (3 papers)Operations Research (1 paper)Breast Cancer Research and Treatment (1 paper)JCO Clinical Cancer Informatics (1 paper)INFORMS journal on computing (1 paper)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
John Silberholz
20 papers receiving 335 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 7
- Statistics and Probability 32
- Artificial Intelligence 103
- Industrial and Manufacturing Engineering 32
- Statistics, Probability and Uncertainty 20
Countries citing papers authored by John Silberholz
This map shows the geographic impact of John Silberholz'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 John Silberholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Silberholz more than expected).
Fields of papers citing papers by John Silberholz
This network shows the impact of papers produced by John Silberholz. 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 John Silberholz. The network helps show where John Silberholz may publish in the future.
Co-authors
The 25 scholars most cited alongside John Silberholz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2018 | 73 | |
| 3 | 2018 | 39 | |
| 4 | 2021 | 27 | |
| 5 | 2009 | 24 | |
| 6 | 2015 | 18 | |
| 7 | 2016 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2021 | 9 | |
| 10 | 2013 | 7 | |
| 11 | Network Analysis for Predicting Academic Impact | 2013 | 6 |
| 12 | 2021 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 3 | |
| 16 | 2013 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About John Silberholz
John Silberholz is a scholar working on Economics and Econometrics, Statistics and Probability, Industrial and Manufacturing Engineering, Management Information Systems and Information Systems, having authored 20 papers that have together received 342 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (4 papers), Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Vehicle Routing Optimization Methods (3 papers), Healthcare Policy and Management (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Healthcare Operations and Scheduling Optimization (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (7 citations), Statistics and Probability (32 citations), Artificial Intelligence (103 citations), Industrial and Manufacturing Engineering (32 citations) and Statistics, Probability and Uncertainty (20 citations). John Silberholz has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Dimitris Bertsimas, Iain Dunning, Swati Gupta, Bruce Golden, Erik Brynjolfsson, Thomas A Trikalinos, Jack Dunn, Linda T. Vahdat, Ying Daisy Zhuo and Sarah M. Peitzmeier. Their work appears in journals such as Management Science, Operations Research, Breast Cancer Research and Treatment, JCO Clinical Cancer Informatics and INFORMS journal on computing.
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.