Behzad Golshan
- Artificial Intelligence top 10%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Computer Science Applications top 5%
- Computer Networks and Communications
- Co-authors
- Evimaria TerziWang-Chiew TanAlon HalevyRakesh AgrawalGeorge A. MihailaTheodoros LappasEvangelos E. PapalexakisChen Chen
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (5 papers)Complex Network Analysis Techniques (4 papers)
- Cited by
- Computer Science ApplicationsComputational MathematicsManagement Science and Operations Research
- Journals
- Expert Systems with ApplicationsProceedings of the VLDB EndowmentACM Transactions on Intelligent Systems and Technology
- Partner nations
- United StatesJapan
In The Last Decade
Behzad Golshan
18 papers receiving 212 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 126
- Information Systems 72
- Management Science and Operations Research 67
- Computer Science Applications 62
- Computer Networks and Communications 49
Countries citing papers authored by Behzad Golshan
This map shows the geographic impact of Behzad Golshan'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 Behzad Golshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behzad Golshan more than expected).
Fields of papers citing papers by Behzad Golshan
This network shows the impact of papers produced by Behzad Golshan. 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 Behzad Golshan. The network helps show where Behzad Golshan may publish in the future.
Co-authorship network of co-authors of Behzad Golshan
This figure shows the co-authorship network connecting the top 25 collaborators of Behzad Golshan. A scholar is included among the top collaborators of Behzad Golshan 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 Behzad Golshan. Behzad Golshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | BigGorilla: An Open-Source Ecosystem for Data Preparation and Integration. | 30 |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 60 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 9 | |
| 13 | 7 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 35 | |
| 17 | 6 | |
| 18 | What do row and column marginals reveal about your dataset | 1 |
| 19 | 7 |
About Behzad Golshan
Behzad Golshan is a scholar working on Computer Science Applications, Management Science and Operations Research and Artificial Intelligence, having authored 19 papers that have together received 231 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Computer Science Applications (62 citations), Computational Mathematics (5 citations) and Management Science and Operations Research (67 citations). Behzad Golshan has collaborated with scholars based in United States and Japan. Frequent co-authors include Evimaria Terzi, Wang-Chiew Tan, Alon Halevy, Rakesh Agrawal, George A. Mihaila, Theodoros Lappas, Evangelos E. Papalexakis, Rakesh Agrawal, Chen Chen and AnHai Doan. Their work appears in journals such as Expert Systems with Applications, Proceedings of the VLDB Endowment and ACM Transactions on Intelligent Systems and Technology.
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.