J. Spragins
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Statistics and Probability top 2%
- Electrical and Electronic Engineering
- Management Information Systems
- Co-authors
- Sidney YakowitzKrzysztof PawlikowskiJ.L. HammondJ. D. SinclairYong KangDavid TipperT. LewisMathew Magimai.-Doss
- Topics
- Power Line Communications and Noise (6 papers)Advanced Queuing Theory Analysis (6 papers)Software Reliability and Analysis Research (4 papers)
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Transactions on ComputersACM SIGCOMM Computer Communication Review
- Partner nations
- United States
In The Last Decade
J. Spragins
31 papers receiving 464 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 191
- Computer Networks and Communications 169
- Statistics and Probability 160
- Electrical and Electronic Engineering 94
- Management Information Systems 35
Countries citing papers authored by J. Spragins
This map shows the geographic impact of J. Spragins'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 J. Spragins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Spragins more than expected).
Fields of papers citing papers by J. Spragins
This network shows the impact of papers produced by J. Spragins. 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 J. Spragins. The network helps show where J. Spragins may publish in the future.
Co-authorship network of co-authors of J. Spragins
This figure shows the co-authorship network connecting the top 25 collaborators of J. Spragins. A scholar is included among the top collaborators of J. Spragins 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 J. Spragins. J. Spragins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | A study of transient congestion during traffic restoration in high speed packet-switched networks | 0 |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 21 | |
| 15 | A Fast Algorithm for Computing Availability in Networks with Dependent Failures. | 9 |
| 16 | 5 | |
| 17 | 26 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 265 |
About J. Spragins
J. Spragins is a scholar working on Software, Management Information Systems and Computer Networks and Communications, having authored 36 papers that have together received 520 indexed citations. Recurring topics across this work include Power Line Communications and Noise (6 papers), Advanced Queuing Theory Analysis (6 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Statistics and Probability (160 citations), Computer Networks and Communications (169 citations) and Artificial Intelligence (191 citations). J. Spragins has collaborated with scholars based in United States. Frequent co-authors include Sidney Yakowitz, Krzysztof Pawlikowski, J.L. Hammond, J. D. Sinclair, Yong Kang, David Tipper, T. Lewis, Mathew Magimai.-Doss and James F. Leathrum. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Computers and ACM SIGCOMM Computer Communication Review.
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.