Appa Iyer Sivakumar

52 papers receiving 842 citations

Peers

Appa Iyer Sivakumar
Comparison fields: 5 of 58
  • Industrial and Manufacturing Engineering 723
  • Artificial Intelligence 160
  • Computer Networks and Communications 126
  • Management Information Systems 114
  • Control and Systems Engineering 99
Replace Chin Soon Chong with:
Chin Soon Chong Singapore
Tay Jin Chua Singapore
Purushothaman Damodaran United States
Velusamy Subramaniam Singapore
Chao-Tang Tseng Taiwan
Anton V. Eremeev Russia
Lenz Belzner Germany
Czesław Smutnicki Poland
Tom M. Cavalier United States
Monte Zweben United States
Appa Iyer Sivakumar relative to Chin Soon Chong Singapore Chin Soon Chong's profile →
Citations per field
00.5×1.5×1.8×
Chin Soon Chong · 1×
Citations per year

Countries citing papers authored by Appa Iyer Sivakumar

Since Specialization
Citations

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

Fields of papers citing papers by Appa Iyer Sivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Appa Iyer Sivakumar. 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 Appa Iyer Sivakumar. The network helps show where Appa Iyer Sivakumar may publish in the future.

Co-authorship network of co-authors of Appa Iyer Sivakumar

This figure shows the co-authorship network connecting the top 25 collaborators of Appa Iyer Sivakumar. A scholar is included among the top collaborators of Appa Iyer Sivakumar 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 Appa Iyer Sivakumar. Appa Iyer Sivakumar 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
Reinforcement Learning Based Predictive Maintenance for a Machine with Multiple Deteriorating Yield Levels
9
2 2
3 1
4 2
5 2
6 2
7 1
8 35
9 113
10 3
11 21
12 4
13 12
14 1
15
Solution Methodology for Synchronizing Assembly Manufacturing and Air Transportation of Consumer Electronics Supply Chain
13
16 116
17
Job Release Control in Semiconductor Wafer Fabrication
1
18 14
19 3
20 3

About Appa Iyer Sivakumar

Appa Iyer Sivakumar is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computer Networks and Communications, having authored 52 papers that have together received 901 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (47 papers), Advanced Manufacturing and Logistics Optimization (28 papers) and Assembly Line Balancing Optimization (18 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (723 citations), Management Information Systems (114 citations) and Management Science and Operations Research (80 citations). Appa Iyer Sivakumar has collaborated with scholars based in Singapore, India and China. Frequent co-authors include Chin Soon Chong, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Malcolm Yoke Hean Low, Kunpeng Li, Stanley B. Gershwin, Chao Qi, Chee‐Seng Chong, Robert Gay, Yong Wu and Bin Chen. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

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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