Saqib Shamim

23 papers receiving 1.5k citations

Hit Papers

Big data analytics capability and decision-making: The...201820262020202320212018100200300

Peers

Saqib Shamim
Comparison fields: 5 of 96
  • Strategy and Management 686
  • Management Information Systems 680
  • Industrial and Manufacturing Engineering 359
  • Marketing 221
  • Management Science and Operations Research 215
Replace Francesco Ciampi with:
Francesco Ciampi Italy
Changiz Valmohammadi Iran
Abayomi Baiyere Denmark
Robert Wayne Gregory Germany
Steffen Kinkel Germany
Edmund Prater United States
Esko Penttinen Finland
Jing Zeng United Kingdom
Angelo Natalicchio Italy
Vimal Kumar Taiwan
Saqib Shamim relative to Francesco Ciampi Italy Francesco Ciampi's profile →
Citations per field
00.5×1.5×2.1×
Francesco Ciampi · 1×
Citations per year

Countries citing papers authored by Saqib Shamim

Since Specialization
Citations

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

Fields of papers citing papers by Saqib Shamim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saqib Shamim. 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 Saqib Shamim. The network helps show where Saqib Shamim may publish in the future.

Co-authorship network of co-authors of Saqib Shamim

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 0
4 0
5 0
6 5
7 6
8 6
9 38
10 59
11
Big data analytics capability and decision-making: The role of data-driven insight on circular economy performancebreakdown →
306
12 98
13 152
14
Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities viewbreakdown →
257
15 103
16 113
17 8
18 234
19 64
20 11

About Saqib Shamim

Saqib Shamim is a scholar working on Management Information Systems, Strategy and Management and Organizational Behavior and Human Resource Management, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (8 papers), Innovation and Knowledge Management (5 papers) and Competitive and Knowledge Intelligence (4 papers). The work is most often cited by research in Management Information Systems (680 citations), Strategy and Management (686 citations) and Industrial and Manufacturing Engineering (359 citations). Saqib Shamim has collaborated with scholars based in United Kingdom, Finland and Pakistan. Frequent co-authors include Zaheer Khan, Hongnian Yu, Shuang Cang, Syed Muhammad Shariq, Jing Zeng, Najam Ul Zia, Yun Li, Usama Awan, Muhammad Naveed Khan and Pervaiz Akhtar. Their work appears in journals such as Journal of Business Research, Computers in Human Behavior and Technological Forecasting and Social Change.

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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