Behnam N. Tabrizi

2.7k citations
7 papers · 2.0k indexed · 1 hit paper · h-index 4
Topics
Big Data and Business Intelligence (2 papers)Business Strategy and Innovation (2 papers)Innovation and Knowledge Management (2 papers)
Partner nations
United States

In The Last Decade

Behnam N. Tabrizi

7 papers receiving 1.7k citations

Hit Papers

Accelerating Adaptive Processes: Product Innovation in th...1995202620052015199550010001.5k

Peers

Behnam N. Tabrizi
Comparison fields: 5 of 89
  • Strategy and Management 1.3k
  • Management of Technology and Innovation 524
  • Management Science and Operations Research 441
  • Management Information Systems 304
  • Organizational Behavior and Human Resource Management 241
Replace Richard Leifer with:
Richard Leifer United States
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Stephen R. Rosenthal United States
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Fernando F. Suárez United States
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Behnam N. Tabrizi relative to Richard Leifer United States Richard Leifer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Behnam N. Tabrizi

Since Specialization
Citations

This map shows the geographic impact of Behnam N. Tabrizi'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 Behnam N. Tabrizi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Behnam N. Tabrizi more than expected).

Fields of papers citing papers by Behnam N. Tabrizi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Behnam N. Tabrizi. 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 Behnam N. Tabrizi. The network helps show where Behnam N. Tabrizi may publish in the future.

Co-authorship network of co-authors of Behnam N. Tabrizi

This figure shows the co-authorship network connecting the top 25 collaborators of Behnam N. Tabrizi. A scholar is included among the top collaborators of Behnam N. Tabrizi 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 Behnam N. Tabrizi. Behnam N. Tabrizi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2
Rapid Transformation: A 90-Day Plan for Fast and Effective Change
4
3
Becoming a Real-Time Enterprise: Harnessing the Power of RTE to Maximize Competitive Advantage
2
4
Capturing the real value in high-tech acquisitions.
170
5
Defining next-generation products: an inside look.
3
6
Accelerating Adaptive Processes: Product Innovation in the Global Computer Industrybreakdown →
1782
7 2

About Behnam N. Tabrizi

Behnam N. Tabrizi is a scholar working on Management Information Systems, Strategy and Management and Accounting, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Business Strategy and Innovation (2 papers) and Innovation and Knowledge Management (2 papers). The work is most often cited by research in Strategy and Management (1.3k citations), Management of Technology and Innovation (524 citations) and Management Science and Operations Research (441 citations). Behnam N. Tabrizi has collaborated with scholars based in United States. Frequent co-authors include Kathleen M. Eisenhardt, Saikat Chaudhuri, Mitchell M. Tseng and Robert H. Keeley. Their work appears in journals such as Administrative Science Quarterly, The Journal of High Technology Management Research and PubMed.

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.

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