Latif Al‐Hakim

52 papers receiving 463 citations

Peers

Latif Al‐Hakim
Comparison fields: 5 of 82
  • Industrial and Manufacturing Engineering 146
  • Management Information Systems 107
  • Strategy and Management 78
  • Management Science and Operations Research 70
  • Surgery 59
Replace Aisha Naseer with:
Aisha Naseer United Kingdom
Saligrama Agnihothri United States
Mohsen Jahangirian United Kingdom
José Dinis‐Carvalho Portugal
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RJ Rob Kusters Netherlands
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Gerard M. Campbell United States
Seyed Mohammad Hassan Hosseini Iran
Latif Al‐Hakim relative to Aisha Naseer United Kingdom Aisha Naseer's profile →
Citations per field
00.5×6.6×
Aisha Naseer · 1×
Citations per year

Countries citing papers authored by Latif Al‐Hakim

Since Specialization
Citations

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

Fields of papers citing papers by Latif Al‐Hakim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Latif Al‐Hakim. 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 Latif Al‐Hakim. The network helps show where Latif Al‐Hakim may publish in the future.

Co-authorship network of co-authors of Latif Al‐Hakim

This figure shows the co-authorship network connecting the top 25 collaborators of Latif Al‐Hakim. A scholar is included among the top collaborators of Latif Al‐Hakim 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 Latif Al‐Hakim. Latif Al‐Hakim 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 15
3 6
4 9
5 11
6 12
7 1
8 7
9 12
10 20
11 23
12 16
13 12
14
E-innovation: information quality perspective
1
15
Information mapping: a case of operating theatre list management process
0
16
Trust or dependancy? Major influence on e-procurement adoption decisions in supply chain relationships
1
17
SCOR-based supply chain improvement program
0
18 18
19
Maximal planar graphs and diagonal operations.
1
20
Braced Edges in Plane Triangulations
2

About Latif Al‐Hakim

Latif Al‐Hakim is a scholar working on Management Information Systems, Tourism, Leisure and Hospitality Management and Industrial and Manufacturing Engineering, having authored 57 papers that have together received 516 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (10 papers), Big Data and Business Intelligence (9 papers) and Data Quality and Management (8 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (146 citations), Management Information Systems (107 citations) and Emergency Medical Services (50 citations). Latif Al‐Hakim has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Wu Lu, Nick Sevdalis, Andrew Kusiak, Ying Su, Aileen Cater‐Steel, Shomik Sengupta, Ian Paterson, Eric Ng, Sonal Arora and Yuping Zhang. Their work appears in journals such as International Journal of Production Economics, International Journal of Production Research and International Journal of Nursing Studies.

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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