Joel Saltz
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Information Systems top 5%
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Anurag AcharyaGuy EdjlaliShamik D. SharmaRaja DasJames R. LarusShubhendu S. MukherjeeMark D. HillGagan Agrawal
- Topics
- Parallel Computing and Optimization Techniques (22 papers)Distributed and Parallel Computing Systems (17 papers)Advanced Data Storage Technologies (11 papers)
- Partner nations
- United StatesSpain
In The Last Decade
Joel Saltz
37 papers receiving 563 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 423
- Hardware and Architecture 299
- Information Systems 108
- Molecular Biology 65
- Artificial Intelligence 58
Countries citing papers authored by Joel Saltz
This map shows the geographic impact of Joel Saltz'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 Joel Saltz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel Saltz more than expected).
Fields of papers citing papers by Joel Saltz
This network shows the impact of papers produced by Joel Saltz. 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 Joel Saltz. The network helps show where Joel Saltz may publish in the future.
Co-authorship network of co-authors of Joel Saltz
This figure shows the co-authorship network connecting the top 25 collaborators of Joel Saltz. A scholar is included among the top collaborators of Joel Saltz 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 Joel Saltz. Joel Saltz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 84 | |
| 3 | 18 | |
| 4 | Compiler techniques for data parallel applications using very large multi-dimensional datasets | 1 |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | A Study of Internet Round-trip Delay | 48 |
| 9 | Deferred Data-Flow Analysis : Algorithms, Proofs and Applications | 2 |
| 10 | Network-aware mobile programs | 8 |
| 11 | 1 | |
| 12 | 84 | |
| 13 | 24 | |
| 14 | 55 | |
| 15 | 15 | |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | The incremental scheduler | 1 |
About Joel Saltz
Joel Saltz is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 38 papers that have together received 610 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (22 papers), Distributed and Parallel Computing Systems (17 papers) and Advanced Data Storage Technologies (11 papers). The work is most often cited by research in Hardware and Architecture (299 citations), Computer Networks and Communications (423 citations) and Information Systems (108 citations). Joel Saltz has collaborated with scholars based in United States and Spain. Frequent co-authors include Anurag Acharya, Guy Edjlali, Shamik D. Sharma, Raja Das, James R. Larus, Shubhendu S. Mukherjee, Mark D. Hill, Gagan Agrawal, Anne Rogers and Haifeng Wu. Their work appears in journals such as Mathematics of Computation, PROTEOMICS and ACM SIGPLAN Notices.
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.