Hamed Khorasgani

563 total citations
30 papers, 369 citations indexed

About

Hamed Khorasgani is a scholar working on Control and Systems Engineering, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hamed Khorasgani has authored 30 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 14 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Hamed Khorasgani's work include Fault Detection and Control Systems (17 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Control Systems Optimization (5 papers). Hamed Khorasgani is often cited by papers focused on Fault Detection and Control Systems (17 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Control Systems Optimization (5 papers). Hamed Khorasgani collaborates with scholars based in United States, Sweden and Japan. Hamed Khorasgani's co-authors include Gautam Biswas, Chetan Gupta, Shankar Sankararaman, Daniel Jung, Ahmed Farahat, Oliver Niggemann, John S. Kinnebrew, Erik Frisk, Shuai Zheng and Mattias Krysander and has published in prestigious journals such as Applied Soft Computing, Reliability Engineering & System Safety and Applied Sciences.

In The Last Decade

Hamed Khorasgani

30 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hamed Khorasgani United States 12 254 90 67 53 47 30 369
Raed Al Kontar United States 14 105 0.4× 156 1.7× 66 1.0× 37 0.7× 41 0.9× 42 383
Aníbal Bregón Spain 14 450 1.8× 176 2.0× 57 0.9× 76 1.4× 65 1.4× 55 632
Anuradha Kodali United States 10 266 1.0× 76 0.8× 57 0.9× 19 0.4× 54 1.1× 27 379
Shang-Kuo Yang Taiwan 8 184 0.7× 30 0.3× 103 1.5× 27 0.5× 74 1.6× 22 341
Hongsheng Su China 9 173 0.7× 64 0.7× 73 1.1× 26 0.5× 44 0.9× 90 387
Xiaojian Xu China 5 200 0.8× 75 0.8× 29 0.4× 20 0.4× 90 1.9× 7 351
Afshin Abadi Iran 8 124 0.5× 61 0.7× 51 0.8× 27 0.5× 11 0.2× 10 477
Florin Dragomir Romania 9 122 0.5× 54 0.6× 46 0.7× 66 1.2× 25 0.5× 48 323
Otilia Elena Dragomir Romania 9 123 0.5× 55 0.6× 46 0.7× 65 1.2× 25 0.5× 49 326
Nga Nguyen France 12 113 0.4× 66 0.7× 118 1.8× 40 0.8× 23 0.5× 31 357

Countries citing papers authored by Hamed Khorasgani

Since Specialization
Citations

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

Fields of papers citing papers by Hamed Khorasgani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Khorasgani

This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Khorasgani. A scholar is included among the top collaborators of Hamed Khorasgani 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 Hamed Khorasgani. Hamed Khorasgani 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.
Khorasgani, Hamed, et al.. (2021). Deep Reinforcement Learning with Adjustments. 8. 1–8. 2 indexed citations
2.
Khorasgani, Hamed, et al.. (2021). Off-line Deep Reinforcement Learning for Maintenance Optimization. Annual Conference of the PHM Society. 13(1). 3 indexed citations
3.
Wang, Qiyao, et al.. (2020). A Non-linear Function-on-Function Model for Regression with Time Series Data. 232–239. 12 indexed citations
4.
Khorasgani, Hamed, et al.. (2020). Data-driven Residual Generation for Early Fault Detection with Limited Data. Annual Conference of the PHM Society. 12(1). 9–9. 1 indexed citations
5.
Biswas, Gautam, et al.. (2020). An Approach To Mode and Anomaly Detection with Spacecraft Telemetry Data. International Journal of Prognostics and Health Management. 7(4). 7 indexed citations
6.
Deng, Xinwei, et al.. (2019). Multivariate Bernoulli Logit-Normal Model for Failure Prediction. Annual Conference of the PHM Society. 11(1). 1 indexed citations
7.
Khorasgani, Hamed, Gautam Biswas, & Daniel Jung. (2019). Structural Methodologies for Distributed Fault Detection and Isolation. Applied Sciences. 9(7). 1286–1286. 9 indexed citations
8.
Khorasgani, Hamed, et al.. (2019). Long-term planning, short-term adjustments. 1 indexed citations
9.
Khorasgani, Hamed, et al.. (2019). Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks. 1–7. 21 indexed citations
10.
Khorasgani, Hamed, Ahmed Farahat, Kosta Ristovski, Chetan Gupta, & Gautam Biswas. (2018). Framework for Unifying Model-based and Data-driven Fault Diagnosis. Annual Conference of the PHM Society. 10(1). 25 indexed citations
11.
Huang, Wei, Hamed Khorasgani, Chetan Gupta, Ahmed Farahat, & Shuai Zheng. (2018). Remaining Useful Life Estimation for Systems with Abrupt Failures. Annual Conference of the PHM Society. 10(1). 18 indexed citations
12.
Khorasgani, Hamed & Gautam Biswas. (2018). A combined model-based and data-driven approach for monitoring smart buildings. 4. 21–4. 3 indexed citations
13.
Khorasgani, Hamed & Gautam Biswas. (2017). Structural Fault Detection and Isolation in Hybrid Systems. IEEE Transactions on Automation Science and Engineering. 15(4). 1585–1599. 22 indexed citations
14.
Biswas, Gautam, et al.. (2016). An Application of Data Driven Anomaly Identification to Spacecraft Telemetry Data. Annual Conference of the PHM Society. 8(1). 6 indexed citations
15.
Khorasgani, Hamed, Gautam Biswas, & Shankar Sankararaman. (2016). Methodologies for system-level remaining useful life prediction. Reliability Engineering & System Safety. 154. 8–18. 60 indexed citations
16.
Jung, Daniel, Hamed Khorasgani, Erik Frisk, Mattias Krysander, & Gautam Biswas. (2015). Analysis of fault isolation assumptions when comparing model-based design approaches of diagnosis systems. IFAC-PapersOnLine. 48(21). 1289–1296. 14 indexed citations
17.
Niggemann, Oliver, et al.. (2015). Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 185–192. 45 indexed citations
18.
Khorasgani, Hamed, Daniel Jung, & Gautam Biswas. (2015). Structural Approach for Distributed Fault Detection and Isolation. IFAC-PapersOnLine. 48(21). 72–77. 8 indexed citations
19.
Khorasgani, Hamed, Daniel Jung, Gautam Biswas, Erik Frisk, & Mattias Krysander. (2014). Off-line Robust Residual Selection Using Sensitivity Analysis. 6 indexed citations
20.
Khorasgani, Hamed, Chetan S. Kulkarni, Gautam Biswas, José Celaya, & Kai Goebel. (2013). Degredation Modeling and Remaining Useful Life Prediction of Electrolytic Capacitors under Thermal Overstress Condition Using Particle Filters. Annual Conference of the PHM Society. 5(1). 7 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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2026