Saif Ullah

710 citations
35 papers · 540 · h-index 15

Impact in

Papers in

Saif Ullah

34 papers receiving 526 citations

Peers

Saif Ullah
Comparison fields: 5 of 60
  • Industrial and Manufacturing Engineering 412
  • Management Information Systems 63
  • Strategy and Management 64
  • Management Science and Operations Research 41
  • Management of Technology and Innovation 19
Replace Behdin Vahedi-Nouri with:
Behdin Vahedi-Nouri Iran
Deogratias Kibira United States
Nathalie Sauer France
Anis Gharbi Saudi Arabia
Belgacem Bettayeb France
Shiu Hong Choi Hong Kong
David Stockton United Kingdom
Paul Stanfield United States
Jungbok Jo South Korea
Saif Ullah relative to Behdin Vahedi-Nouri Iran Behdin Vahedi-Nouri's profile →
Citations per field
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Behdin Vahedi-Nouri · 1×
Citations per year

Countries citing papers authored by Saif Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Saif Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saif Ullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saif Ullah Line = papers co-authored together Saif Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201447
2 201739
3 201938
4 202036
5 201435
6 201734
7 201433
8 201932
9 202025
10 201423
11 201123
12 201618
13 201618
14 201618
15 201417
16 202013
17 201912
18 20199
19 20168
20 20258

About Saif Ullah

Saif Ullah is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Strategy and Management, Management Information Systems and Surgery, having authored 35 papers that have together received 540 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (25 papers), Advanced Manufacturing and Logistics Optimization (21 papers), Assembly Line Balancing Optimization (20 papers), Manufacturing Process and Optimization (8 papers), Sustainable Supply Chain Management (3 papers), Operations Management Techniques (3 papers), Optimization and Packing Problems (3 papers) and Resource-Constrained Project Scheduling (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (412 citations), Management Information Systems (63 citations), Strategy and Management (64 citations), Management Science and Operations Research (41 citations) and Management of Technology and Innovation (19 citations). Saif Ullah has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Zailin Guan, Baoxi Wang, Lei Yue, Chaoyong Zhang, Mirza Jahanzaib, Li Zhang, Jabir Mumtaz, Weiqi Liu, Yanyan Cui and Qiong Liu. Their work appears in journals such as IEEE Access, International Journal of Production Research, Journal of Intelligent Manufacturing, The International Journal of Advanced Manufacturing Technology and Computers & Industrial Engineering.

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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