Arqum Mateen

623 citations
21 papers · 475 · h-index 11

Impact in

Papers in

Arqum Mateen

20 papers receiving 458 citations

Peers

Arqum Mateen
Comparison fields: 5 of 57
  • Management Information Systems 253
  • Strategy and Management 219
  • Marketing 70
  • Industrial and Manufacturing Engineering 74
  • Organizational Behavior and Human Resource Management 56
Replace Vishal Singh Patyal with:
Vishal Singh Patyal India
Ozgun Caliskan Demirag United States
Felix Papier France
Emel Arıkan Austria
Peter Berling Sweden
Nawar Khan Pakistan
Jakob Rehme Sweden
Ye Shi China
Joonhwan In United States
Xinran Shen China
Arqum Mateen relative to Vishal Singh Patyal India Vishal Singh Patyal's profile →
Citations per field
00.5×5.8×
Vishal Singh Patyal · 1×
Citations per year

Countries citing papers authored by Arqum Mateen

Since Specialization
Citations

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

Fields of papers citing papers by Arqum Mateen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Arqum Mateen, 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 Arqum Mateen Line = papers co-authored together Arqum Mateen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022100
2 201461
3 202055
4 201454
5 202045
6 201439
7 201921
8 201320
9 201215
10 201814
11 201713
12 20149
13 20238
14 20166
15 20146
16 20203
17 20162
18 20222
19 20241
20 20211

About Arqum Mateen

Arqum Mateen is a scholar working on Management Information Systems, Strategy and Management, Marketing, Management Science and Operations Research and Sociology and Political Science, having authored 21 papers that have together received 475 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (11 papers), Sustainable Supply Chain Management (7 papers), Consumer Market Behavior and Pricing (7 papers), Digital Platforms and Economics (3 papers), Digital Marketing and Social Media (3 papers), Quality and Supply Management (3 papers), Innovation Diffusion and Forecasting (3 papers) and Facility Location and Emergency Management (2 papers). The work is most often cited by research in Management Information Systems (253 citations), Strategy and Management (219 citations), Marketing (70 citations), Industrial and Manufacturing Engineering (74 citations) and Organizational Behavior and Human Resource Management (56 citations). Arqum Mateen has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Ashis Kumar Chatterjee, Abhishek Chakraborty, Gopalakrishnan Narayanamurthy, Subrata Mitra, Rajeev Ranjan Kumar, Lijo John, Anand Gurumurthy, Agam Gupta, M.K. Nandakumar and Uttam Kumar Sarkar. Their work appears in journals such as Computers & Industrial Engineering, Annals of Operations Research, Benchmarking An International Journal, Decision Sciences and Decision Support Systems.

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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