Sumera Ahmad

403 total citations
7 papers, 237 citations indexed

About

Sumera Ahmad is a scholar working on Management Information Systems, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Sumera Ahmad has authored 7 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 3 papers in Management Science and Operations Research and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Sumera Ahmad's work include Big Data and Business Intelligence (6 papers), Digital Transformation in Industry (3 papers) and Technology Adoption and User Behaviour (2 papers). Sumera Ahmad is often cited by papers focused on Big Data and Business Intelligence (6 papers), Digital Transformation in Industry (3 papers) and Technology Adoption and User Behaviour (2 papers). Sumera Ahmad collaborates with scholars based in Malaysia, Saudi Arabia and Vietnam. Sumera Ahmad's co-authors include Suraya Miskon, Rana Alabdan, Iskander Tlili, Tawfeeq Abdullah Alkanhal, Iskander Tlili, Ahmad Fadhil Yusof, Hafiz Muhammad Faisal Shehzad and Roliana Ibrahim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.

In The Last Decade

Sumera Ahmad

6 papers receiving 222 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sumera Ahmad Malaysia 6 95 86 52 47 43 7 237
Muhammad Mahboob Khurshid Pakistan 9 76 0.8× 79 0.9× 33 0.6× 31 0.7× 39 0.9× 18 254
Anníbal C. Sodero United States 9 157 1.7× 118 1.4× 36 0.7× 43 0.9× 30 0.7× 13 320
K. Srinivasa Rao India 7 71 0.7× 95 1.1× 42 0.8× 87 1.9× 18 0.4× 14 286
Bernd Markus Zunk Austria 10 64 0.7× 99 1.2× 50 1.0× 31 0.7× 15 0.3× 45 262
John L Kent United States 9 171 1.8× 125 1.5× 58 1.1× 28 0.6× 23 0.5× 25 308
Sanderson César Macêdo Barbalho Brazil 10 58 0.6× 54 0.6× 42 0.8× 71 1.5× 29 0.7× 59 249
Alberto de la Calle Spain 9 140 1.5× 121 1.4× 75 1.4× 50 1.1× 12 0.3× 19 282
Richard Lackes Germany 6 89 0.9× 135 1.6× 78 1.5× 25 0.5× 26 0.6× 31 300
Dário Henrique Alliprandini Brazil 7 104 1.1× 119 1.4× 32 0.6× 35 0.7× 45 1.0× 23 243
Yujing Chen China 9 89 0.9× 96 1.1× 27 0.5× 24 0.5× 22 0.5× 18 281

Countries citing papers authored by Sumera Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Sumera Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumera Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Sumera Ahmad. A scholar is included among the top collaborators of Sumera Ahmad 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 Sumera Ahmad. Sumera Ahmad 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
1.
Ahmad, Sumera, Suraya Miskon, Rana Alabdan, & Iskander Tlili. (2021). Statistical Assessment of Business Intelligence System Adoption Model for Sustainable Textile and Apparel Industry. IEEE Access. 9. 106560–106574. 23 indexed citations
2.
Ahmad, Sumera & Suraya Miskon. (2021). A Conceptual Model of Business Intelligence System Adoption for the Textile and Apparel Industry in Pakistan. SHILAP Revista de lepidopterología. 40(2). 251–264. 6 indexed citations
3.
Ahmad, Sumera & Suraya Miskon. (2021). Steps Towards Successful Artificial Intelligence Integration in the Era of Industry 4.0. 137–142. 1 indexed citations
4.
Ahmad, Sumera, Suraya Miskon, Rana Alabdan, & Iskander Tlili. (2020). Towards Sustainable Textile and Apparel Industry: Exploring the Role of Business Intelligence Systems in the Era of Industry 4.0. Sustainability. 12(7). 2632–2632. 112 indexed citations
5.
Ahmad, Sumera, Suraya Miskon, Rana Alabdan, & Iskander Tlili. (2020). Exploration of Influential Determinants for the Adoption of Business Intelligence System in the Textile and Apparel Industry. Sustainability. 12(18). 7674–7674. 18 indexed citations
6.
Shehzad, Hafiz Muhammad Faisal, et al.. (2020). Recent developments of BIM adoption based on categorization, identification and factors: a systematic literature review. International Journal of Construction Management. 22(15). 3001–3013. 38 indexed citations
7.
Ahmad, Sumera, Suraya Miskon, Tawfeeq Abdullah Alkanhal, & Iskander Tlili. (2020). Modeling of Business Intelligence Systems Using the Potential Determinants and Theories with the Lens of Individual, Technological, Organizational, and Environmental Contexts-A Systematic Literature Review. Applied Sciences. 10(9). 3208–3208. 39 indexed citations

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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