Sundar Krishnamurty
- Mechanical Engineering top 5%
- Industrial and Manufacturing Engineering top 1%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Ian R. GrosseJack C. WiledenPaul WitherellYan LuD. A. TurcicZhuo YangThomas HagedornHo Yeung
- Topics
- Manufacturing Process and Optimization (39 papers)Design Education and Practice (20 papers)Advanced Multi-Objective Optimization Algorithms (18 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement of Technology and InnovationAutomotive Engineering
- Journals
- NatureAIAA JournalMaterials & Design
- Partner nations
- United StatesVaticanSouth Korea
In The Last Decade
Sundar Krishnamurty
95 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 140
- Mechanical Engineering 566
- Industrial and Manufacturing Engineering 494
- Control and Systems Engineering 252
- Automotive Engineering 230
- Artificial Intelligence 228
Countries citing papers authored by Sundar Krishnamurty
This map shows the geographic impact of Sundar Krishnamurty'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 Sundar Krishnamurty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sundar Krishnamurty more than expected).
Fields of papers citing papers by Sundar Krishnamurty
This network shows the impact of papers produced by Sundar Krishnamurty. 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 Sundar Krishnamurty. The network helps show where Sundar Krishnamurty may publish in the future.
Co-authorship network of co-authors of Sundar Krishnamurty
This figure shows the co-authorship network connecting the top 25 collaborators of Sundar Krishnamurty. A scholar is included among the top collaborators of Sundar Krishnamurty 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 Sundar Krishnamurty. Sundar Krishnamurty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 53 | |
| 5 | 15 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 22 | |
| 9 | 20 | |
| 10 | 25 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 54 | |
| 17 | 19 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 6 |
About Sundar Krishnamurty
Sundar Krishnamurty is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Management Science and Operations Research, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (39 papers), Design Education and Practice (20 papers) and Advanced Multi-Objective Optimization Algorithms (18 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (494 citations), Management of Technology and Innovation (153 citations) and Automotive Engineering (230 citations). Sundar Krishnamurty has collaborated with scholars based in United States, Vatican and South Korea. Frequent co-authors include Ian R. Grosse, Jack C. Wileden, Paul Witherell, Yan Lu, D. A. Turcic, Zhuo Yang, Thomas Hagedorn, Ho Yeung, Brian Mullen and Robert X. Gao. Their work appears in journals such as Nature, AIAA Journal and Materials & Design.
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.