Kourosh Darvish

1.3k total citations · 2 hit papers
19 papers, 621 citations indexed

About

Kourosh Darvish is a scholar working on Control and Systems Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kourosh Darvish has authored 19 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 8 papers in Biomedical Engineering and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kourosh Darvish's work include Robot Manipulation and Learning (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Flexible and Reconfigurable Manufacturing Systems (4 papers). Kourosh Darvish is often cited by papers focused on Robot Manipulation and Learning (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers) and Flexible and Reconfigurable Manufacturing Systems (4 papers). Kourosh Darvish collaborates with scholars based in Italy, Canada and United States. Kourosh Darvish's co-authors include Fulvio Mastrogiovanni, Alán Aspuru‐Guzik, Naruki Yoshikawa, Enrico Simetti, Giuseppe Casalino, Marta Skreta, Daniele Pucci, Han Hao, Yang Cao and Serena Ivaldi and has published in prestigious journals such as Chemical Reviews, IEEE Access and IEEE Transactions on Robotics.

In The Last Decade

Kourosh Darvish

18 papers receiving 597 citations

Hit Papers

Self-Driving Laboratories for Chemistry and Materials Sci... 2023 2026 2024 2025 2024 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kourosh Darvish Italy 11 180 159 145 85 72 19 621
Jinquan Li China 13 52 0.3× 178 1.1× 87 0.6× 32 0.4× 59 0.8× 46 555
Chunfang Liu China 12 127 0.7× 39 0.2× 124 0.9× 14 0.2× 35 0.5× 58 531
Clint Heyer Australia 8 72 0.4× 60 0.4× 54 0.4× 29 0.3× 39 0.5× 20 350
Yoshiyuki Yamashita Japan 14 363 2.0× 120 0.8× 112 0.8× 27 0.3× 176 2.4× 86 995
Peiyan Zhang China 13 56 0.3× 72 0.5× 71 0.5× 21 0.2× 86 1.2× 37 482
Christian Henkel Germany 14 66 0.4× 156 1.0× 48 0.3× 51 0.6× 15 0.2× 21 677
Jie Fu United States 12 61 0.3× 137 0.9× 29 0.2× 40 0.5× 26 0.4× 33 478
Yizhi Wang China 12 81 0.5× 95 0.6× 48 0.3× 8 0.1× 15 0.2× 57 503
Yunlong Zhu China 15 41 0.2× 231 1.5× 61 0.4× 17 0.2× 124 1.7× 72 879

Countries citing papers authored by Kourosh Darvish

Since Specialization
Citations

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

Fields of papers citing papers by Kourosh Darvish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kourosh Darvish

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

All Works

19 of 19 papers shown
1.
Leong, Shi Xuan, Rui Zhang, Kourosh Darvish, et al.. (2025). Steering towards safe self-driving laboratories. Nature Reviews Chemistry. 9(10). 707–722. 9 indexed citations
2.
Kirlikovali, Kent O., et al.. (2025). Computer vision for high-throughput materials synthesis: a tutorial for experimentalists. Digital Discovery. 5(2). 510–522. 1 indexed citations
3.
Darvish, Kourosh, Marta Skreta, Naruki Yoshikawa, et al.. (2024). ORGANA: A robotic assistant for automated chemistry experimentation and characterization. Matter. 8(2). 101897–101897. 45 indexed citations
4.
Yoshikawa, Naruki, et al.. (2024). From eyes to cameras: Computer vision for high-throughput liquid-liquid separation. Device. 2(7). 100404–100404. 10 indexed citations
5.
Tom, Gary, Stefan P. Schmid, Sterling G. Baird, et al.. (2024). Self-Driving Laboratories for Chemistry and Materials Science. Chemical Reviews. 124(16). 9633–9732. 198 indexed citations breakdown →
6.
Yoshikawa, Naruki, Kourosh Darvish, Mohammad Ghazi Vakili, Animesh Garg, & Alán Aspuru‐Guzik. (2023). Digital pipette: open hardware for liquid transfer in self-driving laboratories. Digital Discovery. 2(6). 1745–1751. 14 indexed citations
7.
Darvish, Kourosh, Luigi Penco, João Ramos, et al.. (2023). Teleoperation of Humanoid Robots: A Survey. IEEE Transactions on Robotics. 39(3). 1706–1727. 98 indexed citations breakdown →
8.
9.
Yoshikawa, Naruki, Marta Skreta, Kourosh Darvish, et al.. (2023). Large language models for chemistry robotics. Autonomous Robots. 47(8). 1057–1086. 61 indexed citations
10.
Darvish, Kourosh, Serena Ivaldi, & Daniele Pucci. (2022). Simultaneous Action Recognition and Human Whole-Body Motion and Dynamics Prediction from Wearable Sensors. arXiv (Cornell University). 488–495. 2 indexed citations
11.
Latella, Claudia, et al.. (2021). Online Non-Collocated Estimation of Payload and Articular Stress for Real-Time Human Ergonomy Assessment. IEEE Access. 9. 123260–123279. 5 indexed citations
12.
Darvish, Kourosh, Enrico Simetti, Fulvio Mastrogiovanni, & Giuseppe Casalino. (2021). A Hierarchical Architecture for Human–Robot Cooperation Processes. CINECA IRIS Institutial Research Information System (University of Genoa). 50 indexed citations
13.
Darvish, Kourosh, et al.. (2020). Deployment and evaluation of a flexible human–robot collaboration model based on AND/OR graphs in a manufacturing environment. Intelligent Service Robotics. 13(4). 439–457. 30 indexed citations
14.
Darvish, Kourosh, et al.. (2020). Model-Based Real-Time Motion Tracking Using Dynamical Inverse Kinematics. Algorithms. 13(10). 266–266. 20 indexed citations
15.
Darvish, Kourosh, Barbara Bruno, Enrico Simetti, Fulvio Mastrogiovanni, & Giuseppe Casalino. (2018). Interleaved Online Task Planning, Simulation, Task Allocation and Motion Control for Flexible Human-Robot Cooperation. 18 indexed citations
16.
Darvish, Kourosh, et al.. (2018). Flexible human–robot cooperation models for assisted shop-floor tasks. Mechatronics. 51. 97–114. 47 indexed citations
17.
Casalino, Giuseppe, et al.. (2017). On Autonomous Robotic Cooperation Capabilities within Factory and Logistic Scenarios. Procedia Manufacturing. 11. 147–163. 1 indexed citations
18.
Darvish, Kourosh, Barbara Bruno, Enrico Simetti, Fulvio Mastrogiovanni, & Giuseppe Casalino. (2016). An adaptive human-robot cooperation framework for assembly-like tasks. CINECA IRIS Institutial Research Information System (University of Genoa). 45–50.
19.
Darvish, Kourosh, Seid H. Pourtakdoust, & Nima Assadian. (2015). Linear and nonlinear control strategies for formation and station keeping of spacecrafts within the context of the three body problem. Aerospace Science and Technology. 42. 12–24. 11 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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