M. Motiar Rahman

2.0k citations
57 papers · 1.5k indexed · h-index 19

M. Motiar Rahman

53 papers receiving 1.3k citations

Peers

M. Motiar Rahman
Comparison fields: 5 of 71
  • Management Science and Operations Research 1.2k
  • Strategy and Management 619
  • Management Information Systems 615
  • Building and Construction 541
  • Social Psychology 132
Replace Will Hughes with:
Will Hughes United Kingdom
Ole Jonny Klakegg Norway
Anna Kadefors Sweden
Francis Tekyi Edum‐Fotwe United Kingdom
Henry C. H. Suen Hong Kong
Ekambaram Palaneeswaran Australia
Lena E. Bygballe Norway
Eamon Fitzgerald United Kingdom
Derek S. Drew Hong Kong
Karen Manley Australia
M. Motiar Rahman relative to Will Hughes United Kingdom Will Hughes's profile →
Citations per field
00.5×2.6×
Will Hughes · 1×
Citations per year

Countries citing papers authored by M. Motiar Rahman

Since Specialization
Citations

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

Fields of papers citing papers by M. Motiar Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Motiar Rahman. 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 M. Motiar Rahman. The network helps show where M. Motiar Rahman may publish in the future.

Co-authorship network of co-authors of M. Motiar Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of M. Motiar Rahman. A scholar is included among the top collaborators of M. Motiar Rahman 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 M. Motiar Rahman. M. Motiar Rahman 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 6
2 1
3 3
4 1
5 0
6 2
7 3
8 2
9 3
10 3
11 3
12 5
13 6
14
TOWARDS AN INTEGRATED MANAGEMENT SUPPORT SYSTEM FOR LARGE CLIENTS
1
15 4
16 7
17 129
18
Weak Links in 'Partnering' Supply Chains? Consultants' and Subcontractors' Views on Project Partnering
8
19
Minimising transaction costs, maximising relational benefits and optimising risk management - through partnering in Hong Kong projects
7
20 152

About M. Motiar Rahman

M. Motiar Rahman is a scholar working on Management Science and Operations Research, Management Information Systems and Building and Construction, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Construction Project Management and Performance (34 papers), Outsourcing and Supply Chain Management (20 papers) and Sustainable Building Design and Assessment (10 papers). The work is most often cited by research in Management Science and Operations Research (1.2k citations), Management Information Systems (615 citations) and Strategy and Management (619 citations). M. Motiar Rahman has collaborated with scholars based in Brunei, Hong Kong and United Kingdom. Frequent co-authors include Mohan M. Kumaraswamy, Florence Yean Yng Ling, S. Thomas Ng, Ekambaram Palaneeswaran, Aaron M. Anvuur, Mohammed Dulaimi, Peter E.D. Love, O.O. Ugwu, MM Kumaraswamy and Nisar Ali. Their work appears in journals such as Building and Environment, Automation in Construction and Journal of Construction Engineering and Management.

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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