Samuel N. Kirshner
- Management Information Systems top 5%
- Marketing top 5%
- Strategy and Management top 10%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Co-authors
- Lusheng ShaoStuart J. BarnesАнтон ОвчінніковBrent MoritzZhaolin LiMikhail NediakEric T.K. LimMeng Wu
- Topics
- Supply Chain and Inventory Management (14 papers)Consumer Market Behavior and Pricing (8 papers)Ethics and Social Impacts of AI (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaManagement ScienceEuropean Journal of Operational Research
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Samuel N. Kirshner
30 papers receiving 373 citations
Peers
Comparison fields: 5 of 68
- Management Information Systems 175
- Marketing 139
- Strategy and Management 113
- Management Science and Operations Research 81
- Sociology and Political Science 76
Countries citing papers authored by Samuel N. Kirshner
This map shows the geographic impact of Samuel N. Kirshner'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 Samuel N. Kirshner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel N. Kirshner more than expected).
Fields of papers citing papers by Samuel N. Kirshner
This network shows the impact of papers produced by Samuel N. Kirshner. 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 Samuel N. Kirshner. The network helps show where Samuel N. Kirshner may publish in the future.
Co-authorship network of co-authors of Samuel N. Kirshner
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel N. Kirshner. A scholar is included among the top collaborators of Samuel N. Kirshner 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 Samuel N. Kirshner. Samuel N. Kirshner 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 | 0 | |
| 3 | 13 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 23 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 22 | |
| 17 | 2 | |
| 18 | 36 | |
| 19 | 21 | |
| 20 | 12 |
About Samuel N. Kirshner
Samuel N. Kirshner is a scholar working on Management Information Systems, Marketing and General Decision Sciences, having authored 35 papers that have together received 385 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (14 papers), Consumer Market Behavior and Pricing (8 papers) and Ethics and Social Impacts of AI (5 papers). The work is most often cited by research in Management Information Systems (175 citations), Marketing (139 citations) and General Decision Sciences (14 citations). Samuel N. Kirshner has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Lusheng Shao, Stuart J. Barnes, Антон Овчінніков, Brent Moritz, Zhaolin Li, Mikhail Nediak, Eric T.K. Lim, Meng Wu, Yuri Levin and Richard Vidgen. Their work appears in journals such as SHILAP Revista de lepidopterología, Management Science and European Journal of Operational Research.
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.