Alexander Brodsky
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Industrial and Manufacturing Engineering top 5%
- Information Systems top 5%
- Co-authors
- Sushil JajodiaYehoshua SagivGuodong ShaoCsilla FarkasJuan LuoX. Sean WangSeung‐Jun ShinDuck Bong Kim
- Topics
- Advanced Database Systems and Queries (19 papers)Data Management and Algorithms (17 papers)Manufacturing Process and Optimization (11 papers)
- Cited by
- Signal ProcessingIndustrial and Manufacturing EngineeringComputer Networks and Communications
- Partner nations
- United StatesSaudi ArabiaItaly
In The Last Decade
Alexander Brodsky
91 papers receiving 777 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 292
- Computer Networks and Communications 256
- Signal Processing 183
- Industrial and Manufacturing Engineering 150
- Information Systems 117
Countries citing papers authored by Alexander Brodsky
This map shows the geographic impact of Alexander Brodsky'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 Alexander Brodsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Brodsky more than expected).
Fields of papers citing papers by Alexander Brodsky
This network shows the impact of papers produced by Alexander Brodsky. 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 Alexander Brodsky. The network helps show where Alexander Brodsky may publish in the future.
Co-authorship network of co-authors of Alexander Brodsky
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Brodsky. A scholar is included among the top collaborators of Alexander Brodsky 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 Alexander Brodsky. Alexander Brodsky 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 9 | |
| 10 | An EM-based Ensemble Learning Algorithm on Piecewise Surface Regression Problem | 7 |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 36 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | Separability of Polyhedra and a New Approach to Spatial Storage (Extended Abstract). | 4 |
| 17 | Toward Practical Constraint Databases | 28 |
| 18 | Inference of Inequality Constraints in Logic Programs. | 20 |
| 19 | 14 | |
| 20 | Toward a Hybrid Data-Flow/Control-Flow MIMD Architecture. | 1 |
About Alexander Brodsky
Alexander Brodsky is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Signal Processing, having authored 104 papers that have together received 836 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (19 papers), Data Management and Algorithms (17 papers) and Manufacturing Process and Optimization (11 papers). The work is most often cited by research in Signal Processing (183 citations), Industrial and Manufacturing Engineering (150 citations) and Computer Networks and Communications (256 citations). Alexander Brodsky has collaborated with scholars based in United States, Saudi Arabia and Italy. Frequent co-authors include Sushil Jajodia, Yehoshua Sagiv, Guodong Shao, Csilla Farkas, Juan Luo, X. Sean Wang, Seung‐Jun Shin, Duck Bong Kim, Malak Al-Nory and Michael J. Maher. Their work appears in journals such as ACM Computing Surveys, Desalination and Information Sciences.
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.