Raja Ram Muddada

475 citations
6 papers · 392 · h-index 6

Impact in

Papers in

Raja Ram Muddada

6 papers receiving 382 citations

Peers

Raja Ram Muddada
Comparison fields: 5 of 68
  • Management Information Systems 156
  • Strategy and Management 186
  • Industrial and Manufacturing Engineering 72
  • Radiological and Ultrasound Technology 24
  • Management of Technology and Innovation 30
Replace Yuri Merkuryev with:
Yuri Merkuryev Latvia
Hassan Khademi Zare Iran
Shuxia Li China
Şeyda Serdarasan Türkiye
Serpil Erol Türkiye
Sonia Irshad Mari Pakistan
Senevi Kiridena Australia
Fatma Betül Yeni Türkiye
Luca Canetta Switzerland
Sara Antomarioni Italy
Raja Ram Muddada relative to Yuri Merkuryev Latvia Yuri Merkuryev's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raja Ram Muddada

Since Specialization
Citations

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

Fields of papers citing papers by Raja Ram Muddada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raja Ram Muddada. 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 Raja Ram Muddada. The network helps show where Raja Ram Muddada may publish in the future.

Co-authors

The 13 scholars most cited alongside Raja Ram Muddada, 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 Raja Ram Muddada Line = papers co-authored together Raja Ram Muddada links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Raja Ram Muddada

Raja Ram Muddada is a scholar working on Management Information Systems, Strategy and Management, Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 6 papers that have together received 392 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (4 papers), Supply Chain Resilience and Risk Management (3 papers), Quality and Supply Management (3 papers), Supply Chain and Inventory Management (2 papers), Vehicle Routing Optimization Methods (1 paper), Scheduling and Optimization Algorithms (1 paper), Petri Nets in System Modeling (1 paper) and Process Optimization and Integration (1 paper). The work is most often cited by research in Management Information Systems (156 citations), Strategy and Management (186 citations), Industrial and Manufacturing Engineering (72 citations), Radiological and Ultrasound Technology (24 citations) and Management of Technology and Innovation (30 citations). Raja Ram Muddada has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include Junwei Wang, Wenjun Zhang, Runliang Dou, Jinliang Ding, Hongfeng Wang, Yingzi Lin, Changli Liu, W.H. Ip, Manoj Kumar Tiwari and Ravi Shankar. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Expert Systems with Applications, IEEE Systems Journal, Computers & Industrial Engineering and University Library - University of Saskatchewan (University of Saskatchewan).

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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