Soundar Kumara

12.5k total citations · 5 hit papers
235 papers, 8.6k citations indexed

About

Soundar Kumara is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Soundar Kumara has authored 235 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Industrial and Manufacturing Engineering, 47 papers in Artificial Intelligence and 47 papers in Mechanical Engineering. Recurrent topics in Soundar Kumara's work include Manufacturing Process and Optimization (40 papers), Product Development and Customization (28 papers) and Design Education and Practice (22 papers). Soundar Kumara is often cited by papers focused on Manufacturing Process and Optimization (40 papers), Product Development and Customization (28 papers) and Design Education and Practice (22 papers). Soundar Kumara collaborates with scholars based in United States, South Korea and India. Soundar Kumara's co-authors include Usha Nandini Raghavan, Réka Albert, Satish Bukkapatnam, Robert X. Gao, Janis Terpenny, Hui Yang, Timothy W. Simpson, Dazhong Wu, Connor Jennings and László Monostori and has published in prestigious journals such as Blood, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Soundar Kumara

228 papers receiving 8.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Near linear time algorithm to detect community structures in large-scale networks

2007 2.2k citations Soundar Kumara et al. profile →
Cyber-physical systems in manufacturing

2016 1.1k citations Soundar Kumara et al. profile →
A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

2017 487 citations Soundar Kumara et al. profile →
The internet of things for smart manufacturing: A review

2019 290 citations Hui Yang, Soundar Kumara et al. profile →
Cloud-enabled prognosis for manufacturing

2015 272 citations David Dornfeld, Soundar Kumara et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Soundar Kumara United States	37	2.6k	1.9k	1.6k	1.3k	1.2k	235	8.6k
Duncan McFarlane United Kingdom	36	2.0k 0.8×	278 0.1×	371 0.2×	471 0.4×	385 0.3×	184	6.0k
David W. Coit United States	52	1.2k 0.5×	198 0.1×	966 0.6×	597 0.5×	878 0.7×	201	12.0k
Katia Sycara United States	50	668 0.3×	305 0.2×	5.3k 3.4×	3.1k 2.5×	693 0.6×	462	10.1k
Michael Wooldridge United Kingdom	43	871 0.3×	305 0.2×	8.7k 5.6×	2.7k 2.1×	299 0.2×	288	13.5k
Okyay Kaynak Türkiye	65	894 0.3×	419 0.2×	3.5k 2.3×	2.2k 1.7×	2.9k 2.3×	335	16.6k
Weiming Shen China	61	5.3k 2.0×	96 0.1×	2.8k 1.8×	2.3k 1.8×	2.3k 1.8×	592	15.6k
Lida Xu China	42	1.2k 0.5×	100 0.1×	812 0.5×	1.2k 0.9×	315 0.3×	171	5.4k
Timothy W. Simpson United States	63	4.1k 1.6×	438 0.2×	1.4k 0.9×	124 0.1×	7.4k 5.9×	457	18.9k
Janusz Kacprzyk Poland	51	400 0.2×	316 0.2×	6.4k 4.1×	1.1k 0.8×	193 0.2×	464	14.5k
Gary B. Lamont United States	23	1.3k 0.5×	192 0.1×	4.8k 3.0×	947 0.7×	994 0.8×	129	10.9k

Countries citing papers authored by Soundar Kumara

Since Specialization

Citations

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

Fields of papers citing papers by Soundar Kumara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soundar Kumara

This figure shows the co-authorship network connecting the top 25 collaborators of Soundar Kumara. A scholar is included among the top collaborators of Soundar Kumara 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 Soundar Kumara. Soundar Kumara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sarma, Sanjay E., et al.. (2024). Selective learning for sensing using shift-invariant spectrally stable undersampled networks. Scientific Reports. 14(1). 32041–32041. 1 indexed citations

Zhou, Chen, Jie Xu, Kamesh Madduri, et al.. (2023). Developing Deep Learning Pipeline of Whole-Slide Images for Enhanced Diffuse Large B Cell Lymphoma (DLBCL) Subtyping and Outcome Prediction: Leveraging Self-Attention Transformer for Training and Inference. Blood. 142(Supplement 1). 904–904.

Suharjito, Suharjito, et al.. (2023). Kerangka Penilaian Kesiapan Mobile Cloud Computing di Hulu Migas Menggunakan RAMI 4.0. 13(2). 30–41.

Tiwari, Akash, Soundar Kumara, Anil K. Srivastava, et al.. (2023). A Graphical Representation of Sensor Mapping for Machine Tool Fault Monitoring and Prognostics for Smart Manufacturing. 7(1). 82–110. 2 indexed citations

Oh, Seog‐Chan, et al.. (2022). Stochastic parallel machine scheduling using reinforcement learning. 4(4). 11 indexed citations

Kazemian, Pooyan, et al.. (2021). AIDCOV: An Interpretable Artificial Intelligence Model for Detection of COVID-19 from Chest Radiography Images. ACM Transactions on Management Information Systems. 12(4). 1–20. 17 indexed citations

Song, Eunhye, et al.. (2021). Online Improvement of Condition-Based Maintenance Policy via Monte Carlo Tree Search. IEEE Transactions on Automation Science and Engineering. 19(3). 2540–2551. 15 indexed citations

Griffin, Paul M., et al.. (2020). Early Stage Machine Learning–Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach. JMIR Public Health and Surveillance. 6(3). e19446–e19446. 25 indexed citations

Yang, Hui, Prahalada Rao, Timothy W. Simpson, et al.. (2020). Six-Sigma Quality Management of Additive Manufacturing. Proceedings of the IEEE. 109(4). 347–376. 50 indexed citations

10.

Kumaraguru, Senthilkumaran, Sanjay Jain, Stefanie L. Robinson, et al.. (2017). A Classification Scheme for Smart Manufacturing Systems’ Performance Metrics. PubMed. 1(1). 52–75. 25 indexed citations

11.

Kibira, Deogratias, et al.. (2015). Integrating data analytics and simulation methods to support manufacturing decision making. 2015 Winter Simulation Conference (WSC). 2100–2111. 11 indexed citations

12.

Vuković, Maja & Soundar Kumara. (2011). Proceedings of the 2nd international workshop on Ubiquitous crowdsouring. 1 indexed citations

13.

Medeiros, D. J., et al.. (2011). An agent based model for evacuation traffic management. Winter Simulation Conference. 222–233. 15 indexed citations

14.

Xu, Susan H., et al.. (2011). A Single-Period Analysis of a Two-Echelon Inventory System with Dependent Supply Uncertainty. SSRN Electronic Journal. 10 indexed citations

15.

Kumara, Soundar, et al.. (1997). Boundary defect recognition using neural networks. International Journal of Production Research. 35(9). 2397–2412. 8 indexed citations

16.

Kumara, Soundar, et al.. (1996). An architecture for logistics replanning. Expert Systems with Applications. 11(2). 177–190. 2 indexed citations

17.

Kamarthi, Sagar, Victor E. Sanvido, & Soundar Kumara. (1992). A Connectionist Vertical Formwork Selection System. 1171–1178. 2 indexed citations

18.

Shin, Yung C., et al.. (1992). Framework of an intelligent grinding process advisor. Journal of Intelligent Manufacturing. 3(3). 135–148. 15 indexed citations

19.

Dağli, Ci̇han H., et al.. (1991). Proceedings of intelligent engineering systems through artificial neural networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 131(8). 1757–65. 12 indexed citations

20.

Kumara, Soundar, R.L. Kashyap, & Colin L. Moodie. (1988). Application of expert systems and pattern recognition methodologies to facilities layout planning. International Journal of Production Research. 26(5). 905–930. 41 indexed citations

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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