Naresh Iyer

523 total citations
31 papers, 284 citations indexed

About

Naresh Iyer is a scholar working on Artificial Intelligence, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Naresh Iyer has authored 31 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 7 papers in Ocean Engineering. Recurrent topics in Naresh Iyer's work include Fault Detection and Control Systems (8 papers), Reservoir Engineering and Simulation Methods (5 papers) and Hydraulic Fracturing and Reservoir Analysis (5 papers). Naresh Iyer is often cited by papers focused on Fault Detection and Control Systems (8 papers), Reservoir Engineering and Simulation Methods (5 papers) and Hydraulic Fracturing and Reservoir Analysis (5 papers). Naresh Iyer collaborates with scholars based in United States, Norway and Israel. Naresh Iyer's co-authors include Abraham Kandel, M. Schneider, Piero P. Bonissone, Hai Qiu, Kai Goebel, John R. Josephson, Neil Eklund, Weizhong Yan, Dinesh K. Shetty and Rajamani Lakshminarayanan and has published in prestigious journals such as Fuzzy Sets and Systems, Wear and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Naresh Iyer

27 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naresh Iyer United States 11 81 71 58 36 34 31 284
Dang-Hai Pham Vietnam 4 84 1.0× 30 0.4× 46 0.8× 22 0.6× 19 0.6× 6 316
Jianjian Yang China 8 108 1.3× 72 1.0× 56 1.0× 44 1.2× 10 0.3× 26 312
Gözde Ulutagay Türkiye 9 141 1.7× 44 0.6× 63 1.1× 66 1.8× 29 0.9× 27 313
Mohamadreza Ahmadi United States 12 88 1.1× 25 0.4× 151 2.6× 36 1.0× 29 0.9× 40 380
Thomas M. Liebling Switzerland 12 53 0.7× 27 0.4× 40 0.7× 28 0.8× 18 0.5× 32 387
Qiang Long China 11 101 1.2× 20 0.3× 37 0.6× 20 0.6× 33 1.0× 21 337
Yeboon Yun Japan 6 65 0.8× 26 0.4× 44 0.8× 23 0.6× 45 1.3× 28 227
Martin Schlüter Germany 8 86 1.1× 39 0.5× 84 1.4× 14 0.4× 9 0.3× 20 437
Hongsheng Su China 9 64 0.8× 44 0.6× 173 3.0× 16 0.4× 19 0.6× 90 387

Countries citing papers authored by Naresh Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naresh Iyer

This figure shows the co-authorship network connecting the top 25 collaborators of Naresh Iyer. A scholar is included among the top collaborators of Naresh Iyer 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 Naresh Iyer. Naresh Iyer 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
1.
2.
Tang, Liang, et al.. (2023). OSPtk: Cost-aware Optimal Sensor Placement Toolkit Enabling Design-for-PHM in Critical Industrial Systems. Annual Conference of the PHM Society. 15(1).
3.
Huang, Hao, et al.. (2023). Deep Regression Network with Prediction Confidence in Time Series Application for Asset Health Estimation. Annual Conference of the PHM Society. 15(1).
4.
5.
Iyer, Naresh, et al.. (2022). Mixed Initiative Approach for Reliable Tagging of Maintenance Records with Machine Learning. Annual Conference of the PHM Society. 14(1). 2 indexed citations
6.
Iyer, Naresh, et al.. (2020). Countermeasure against backdoor attacks using epistemic classifiers. 33–33. 5 indexed citations
7.
Iyer, Naresh, et al.. (2020). Justification-Based Reliability in Machine Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6078–6085. 8 indexed citations
8.
Iyer, Naresh, et al.. (2020). Utilizing Bayesian Optimization and Machine Learning to Find the Best Inflow Control Design for Horizontal Wells. Offshore Technology Conference. 3 indexed citations
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10.
Iyer, Naresh, et al.. (2016). Optimization of Production and CO2 Utilization Via Parametric Representation and Evaluation of WAG Schedules. SPE Improved Oil Recovery Conference. 4 indexed citations
11.
Qiu, Hai, Neil Eklund, Naresh Iyer, & Xiao Hu. (2008). Evaluation of filtering techniques for aircraft engine condition monitoring and diagnostics. 41. 1–8. 6 indexed citations
12.
Hu, Xiao, Hai Qiu, & Naresh Iyer. (2007). Multivariate change detection for time series data in aircraft engine fault diagnostics. 2484–2489. 12 indexed citations
13.
Subbu, Raj, Piero P. Bonissone, Srinivas Bollapragada, et al.. (2007). A Review of Two Industrial Deployments of Multi-criteria Decision-making Systems at General Electric. 8 indexed citations
14.
Iyer, Naresh & Piero P. Bonissone. (2007). Automated Risk Classification and Outlier Detection. 14. 272–279. 2 indexed citations
15.
Subbu, Raj, et al.. (2007). MONACO - Multi-Objective National Airspace Collaborative Optimization. 1–14. 3 indexed citations
16.
Iyer, Naresh, Kai Goebel, & Piero P. Bonissone. (2006). Framework for Post-Prognostic Decision Support. 1–10. 24 indexed citations
17.
Subbu, Raj, Piero P. Bonissone, Neil Eklund, et al.. (2006). Management of Complex Dynamic Systems based on Model-Predictive Multi-objective Optimization. 64–69. 12 indexed citations
18.
Chandrasekaran, B. & Naresh Iyer. (2001). A family of dominance filters for multiple criteria decision making: choosing the right filter for a decision situation. 3 indexed citations
19.
Houser, Donald R., et al.. (2000). A Multi-Variable Approach to Determine the “Best” Gear Design. 31–39. 18 indexed citations
20.
Josephson, John R., et al.. (1998). An architecture for exploring large design spaces. National Conference on Artificial Intelligence. 143–150. 32 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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