S. H. Pakzad
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Management Science and Operations Research top 10%
- Topics
- Advanced Database Systems and Queries (14 papers)Data Management and Algorithms (5 papers)Distributed systems and fault tolerance (4 papers)
- Journals
- ComputerACM Transactions on Database SystemsComputer-Aided Civil and Infrastructure Engineering
- Partner nations
- United States
In The Last Decade
S. H. Pakzad
19 papers receiving 330 citations
Peers
Comparison fields: 5 of 49
- Computer Networks and Communications 257
- Artificial Intelligence 203
- Information Systems 132
- Signal Processing 103
- Management Science and Operations Research 45
Countries citing papers authored by S. H. Pakzad
This map shows the geographic impact of S. H. Pakzad'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 S. H. Pakzad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. H. Pakzad more than expected).
Fields of papers citing papers by S. H. Pakzad
This network shows the impact of papers produced by S. H. Pakzad. 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 S. H. Pakzad. The network helps show where S. H. Pakzad may publish in the future.
Co-authorship network of co-authors of S. H. Pakzad
This figure shows the co-authorship network connecting the top 25 collaborators of S. H. Pakzad. A scholar is included among the top collaborators of S. H. Pakzad 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 S. H. Pakzad. S. H. Pakzad 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 | 3 | |
| 3 | Parallel Architectures for Data/Knowledge-Based Systems | 3 |
| 4 | 136 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 34 | |
| 8 | Multidatabase Systems: An Advanced Solution for Global Information Sharing | 33 |
| 9 | 2 | |
| 10 | 132 | |
| 11 | Functional dependencies to enforce integrity constraints in database machine environments | 2 |
| 12 | 3 | |
| 13 | 3 | |
| 14 | Performance evaluation of an associative parallel join module | 1 |
| 15 | Incomplete information and the join operation in database machines | 2 |
| 16 | Tutorial : parallel architectures for database systems | 2 |
| 17 | Parallel architectures for databases systems | 3 |
| 18 | Interconnection networks and fault tolerance | 1 |
| 19 | 1 | |
| 20 | Fault Tolerance Analysis of Rearrangeable Networks. | 1 |
About S. H. Pakzad
S. H. Pakzad is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (14 papers), Data Management and Algorithms (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Computer Networks and Communications (257 citations), Signal Processing (103 citations) and Artificial Intelligence (203 citations). S. H. Pakzad has collaborated with scholars based in United States. Frequent co-authors include Ali R. Hurson, M. W. Bright, L. L. Miller, Bo Jin, Behrooz Shirazi and Margaret H. Eich. Their work appears in journals such as Computer, ACM Transactions on Database Systems and Computer-Aided Civil and Infrastructure Engineering.
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.