Daniel P. Heyman
Impact in
- Management Information Systems top 0.1%
- Advanced Queuing Theory Analysis
- Supply Chain and Inventory Management
- Computer Networks and Communications top 0.5%
- Network Traffic and Congestion Control
- Wireless Communication Networks Research
Papers in
-
- Advanced Queuing Theory Analysis 34
-
- Random Matrices and Applications 13
- Markov Chains and Monte Carlo Methods 11
- Co-authors
- Matthew J. SobelT. V. LakshmanWinfried K. GrassmannA. TabatabaiMichael TaksarWard WhittDavid M. LucantoniArnold L. Neidhardt
- Journals
- Journal of Applied Probability (12 papers)Operations Research (10 papers)IEEE/ACM Transactions on Networking (4 papers)Management Science (3 papers)Networks (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Daniel P. Heyman
83 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Management Information Systems 2.1k
- Computer Networks and Communications 1.8k
- Management Science and Operations Research 767
- Statistics and Probability 379
- Industrial and Manufacturing Engineering 297
Countries citing papers authored by Daniel P. Heyman
This map shows the geographic impact of Daniel P. Heyman'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 Daniel P. Heyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Heyman more than expected).
Fields of papers citing papers by Daniel P. Heyman
This network shows the impact of papers produced by Daniel P. Heyman. 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 Daniel P. Heyman. The network helps show where Daniel P. Heyman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel P. Heyman, 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 | On the accuracy of TCP performance models | 2007 | 2 |
| 2 | 2003 | 94 | |
| 3 | IP traffic characterization for planning and control | 1999 | 8 |
| 4 | 1997 | 3 | |
| 5 | 1995 | 2 | |
| 6 | 1995 | 4 | |
| 7 | 1995 | 16 | |
| 8 | A DECOMPOSITION THEOREM FOR | 1995 | 5 |
| 9 | 1995 | 183 | |
| 10 | 1991 | 4 | |
| 11 | 1990 | 72 | |
| 12 | 1987 | 36 | |
| 13 | The effects of random message sizes on the performance of the CSMA/CD protocol | 1986 | 0 |
| 14 | 1984 | 49 | |
| 15 | 1982 | 20 | |
| 16 | 1978 | 17 | |
| 17 | 1977 | 140 | |
| 18 | 1973 | 68 | |
| 19 | 1973 | 15 | |
| 20 | 1968 | 10 |
About Daniel P. Heyman
Daniel P. Heyman is a scholar working on Management Information Systems, Statistics and Probability, Computer Networks and Communications, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 85 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (34 papers), Network Traffic and Congestion Control (27 papers), Advanced Wireless Network Optimization (15 papers), Random Matrices and Applications (13 papers), Wireless Communication Networks Research (12 papers), Markov Chains and Monte Carlo Methods (11 papers), Probability and Risk Models (10 papers) and Image and Video Quality Assessment (7 papers). The work is most often cited by research in Management Information Systems (2.1k citations), Computer Networks and Communications (1.8k citations), Management Science and Operations Research (767 citations), Statistics and Probability (379 citations) and Industrial and Manufacturing Engineering (297 citations). Daniel P. Heyman has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Matthew J. Sobel, T. V. Lakshman, Winfried K. Grassmann, A. Tabatabai, Michael Taksar, Ward Whitt, David M. Lucantoni, Arnold L. Neidhardt, Alan Weiss and Debasis Mitra. Their work appears in journals such as Journal of Applied Probability, Operations Research, IEEE/ACM Transactions on Networking, Management Science and Networks.
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.