Alex Berson
Impact in
- Marketing top 5%
- Customer churn and segmentation
- Consumer Retail Behavior Studies
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- Big Data and Business Intelligence
Papers in
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- Big Data and Business Intelligence 3
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- Service-Oriented Architecture and Web Services 2
- Data Mining Algorithms and Applications 1
- Co-authors
- Stephen J Smith (2 shared papers)Kurt Thearling (1 shared paper)George W. Anderson (1 shared paper)
- Journals
- McGraw-Hill, Inc. eBooks (2 papers)CERN Document Server (European Organization for Nuclear Research) (2 papers)University of Maribor digital library (University of Maribor) (1 paper)Medical Entomology and Zoology (2 papers)
In The Last Decade
Alex Berson
7 papers receiving 465 citations
Peers
Comparison fields: 5 of 84
- Marketing 174
- Management Information Systems 138
- Information Systems 253
- Organizational Behavior and Human Resource Management 92
- Management Science and Operations Research 84
Countries citing papers authored by Alex Berson
This map shows the geographic impact of Alex Berson'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 Alex Berson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Berson more than expected).
Fields of papers citing papers by Alex Berson
This network shows the impact of papers produced by Alex Berson. 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 Alex Berson. The network helps show where Alex Berson may publish in the future.
Co-authors
The 3 scholars most cited alongside Alex Berson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Building Data Mining Applications for CRM | 1999 | 372 |
| 2 | 1997 | 152 | |
| 3 | Master Data Management and Customer Data Integration for a Global Enterprise | 2007 | 29 |
| 4 | Master Data Management and Data Governance | 2010 | 12 |
| 5 | Client/server architecture (2nd ed.) | 1996 | 8 |
| 6 | APPC: introduction to LU6.2 | 1990 | 4 |
| 7 | SYBASE and Client/Server Computing | 1996 | 2 |
About Alex Berson
Alex Berson is a scholar working on Management Information Systems, Information Systems, Management Science and Operations Research, Information Systems and Management and Artificial Intelligence, having authored 7 papers that have together received 579 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (3 papers), Data Quality and Management (3 papers), Service-Oriented Architecture and Web Services (2 papers), Privacy-Preserving Technologies in Data (1 paper), Data Mining Algorithms and Applications (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Marketing (174 citations), Management Information Systems (138 citations), Information Systems (253 citations), Organizational Behavior and Human Resource Management (92 citations) and Management Science and Operations Research (84 citations). Frequent co-authors include Stephen J Smith, Kurt Thearling and George W. Anderson. Their work appears in journals such as McGraw-Hill, Inc. eBooks, CERN Document Server (European Organization for Nuclear Research), University of Maribor digital library (University of Maribor) and Medical Entomology and Zoology.
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.