Josh E. Reed
Impact in
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- Advanced Queuing Theory Analysis
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- Probability and Risk Models
Papers in
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- Advanced Queuing Theory Analysis 15
- Finance 12
- Stochastic processes and financial applications 9
- Financial Risk and Volatility Modeling 3
- Co-authors
- Amy R. Ward (3 shared papers)Anatolii A. Puhalskii (1 shared paper)Tolga Tezcan (1 shared paper)Peter Lakner (6 shared papers)Bert Zwart (6 shared papers)SASHA F. STOIKOV (3 shared papers)Otis B. Jennings (1 shared paper)Bo Zhang (1 shared paper)
- Journals
- Journal of Applied Probability (5 papers)Operations Research (4 papers)Mathematics of Operations Research (3 papers)Queueing Systems (3 papers)Stochastic Systems (2 papers)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Josh E. Reed
25 papers receiving 217 citations
Peers
Comparison fields: 5 of 44
- Management Information Systems 150
- Management Science and Operations Research 85
- Finance 42
- Emergency Medical Services 27
- Transportation 24
Countries citing papers authored by Josh E. Reed
This map shows the geographic impact of Josh E. Reed'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 Josh E. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh E. Reed more than expected).
Fields of papers citing papers by Josh E. Reed
This network shows the impact of papers produced by Josh E. Reed. 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 Josh E. Reed. The network helps show where Josh E. Reed may publish in the future.
Co-authors
The 18 scholars most cited alongside Josh E. Reed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 48 | |
| 2 | 2010 | 28 | |
| 3 | 2012 | 27 | |
| 4 | 2016 | 14 | |
| 5 | 2012 | 14 | |
| 6 | 2021 | 13 | |
| 7 | 2011 | 10 | |
| 8 | 2016 | 8 | |
| 9 | 2012 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2013 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2017 | 5 | |
| 17 | Distribution-valued heavy-traffic limits for the G/GI/∞ queue. | 2015 | 4 |
| 18 | 2014 | 4 | |
| 19 | 2011 | 3 | |
| 20 | Forecasting Prices in the Presence of Hidden Liquidity | 2010 | 1 |
About Josh E. Reed
Josh E. Reed is a scholar working on Management Information Systems, Finance, Management Science and Operations Research, Computer Networks and Communications and Mathematical Physics, having authored 26 papers that have together received 228 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (15 papers), Stochastic processes and financial applications (9 papers), Probability and Risk Models (8 papers), Network Traffic and Congestion Control (8 papers), Advanced Wireless Network Optimization (7 papers), Stochastic processes and statistical mechanics (5 papers), Financial Risk and Volatility Modeling (3 papers) and Mathematical Dynamics and Fractals (3 papers). The work is most often cited by research in Management Information Systems (150 citations), Management Science and Operations Research (85 citations), Finance (42 citations), Emergency Medical Services (27 citations) and Transportation (24 citations). Josh E. Reed has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Amy R. Ward, Anatolii A. Puhalskii, Tolga Tezcan, Peter Lakner, Bert Zwart, SASHA F. STOIKOV, Otis B. Jennings, Bo Zhang, Uri Yechiali and Marco Avellaneda. Their work appears in journals such as Journal of Applied Probability, Operations Research, Mathematics of Operations Research, Queueing Systems and Stochastic Systems.
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.