Harini Narayanan

1.1k total citations
20 papers, 744 citations indexed

About

Harini Narayanan is a scholar working on Molecular Biology, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Harini Narayanan has authored 20 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Control and Systems Engineering and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Harini Narayanan's work include Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (7 papers) and Advanced Control Systems Optimization (6 papers). Harini Narayanan is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (7 papers) and Advanced Control Systems Optimization (6 papers). Harini Narayanan collaborates with scholars based in Switzerland, Italy and Germany. Harini Narayanan's co-authors include Alessandro Butté, Michael Sokolov, Massimo Morbidelli, Paolo Arosio, Martin F. Luna, Fabian Dingfelder, Nikolai Lorenzen, Mattia Sponchioni, Gonzalo Guillén‐Gosálbez and Mariano Nicolás Cruz Bournazou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Chemical Engineering Journal.

In The Last Decade

Harini Narayanan

20 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harini Narayanan Switzerland 15 486 143 140 98 65 20 744
Michael Sokolov Switzerland 20 794 1.6× 225 1.6× 207 1.5× 156 1.6× 87 1.3× 27 1.1k
Stefan Grüner Germany 17 286 0.6× 74 0.5× 120 0.9× 41 0.4× 26 0.4× 103 916
David Roche France 16 197 0.4× 38 0.3× 67 0.5× 22 0.2× 21 0.3× 79 837
John Washbrook United Kingdom 11 224 0.5× 49 0.3× 80 0.6× 56 0.6× 23 0.4× 21 414
Sumeet Agarwal India 14 155 0.3× 43 0.3× 19 0.1× 105 1.1× 12 0.2× 53 1.0k
John Erickson United States 13 130 0.3× 213 1.5× 33 0.2× 28 0.3× 17 0.3× 46 708
Antonella Carbonaro Italy 14 101 0.2× 152 1.1× 21 0.1× 16 0.2× 11 0.2× 73 687
Ankit R. Patel United States 14 388 0.8× 191 1.3× 65 0.5× 175 1.8× 33 0.5× 38 649
Minyoung Suh United States 16 127 0.3× 172 1.2× 30 0.2× 15 0.2× 53 0.8× 69 782

Countries citing papers authored by Harini Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Harini Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harini Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Harini Narayanan. A scholar is included among the top collaborators of Harini Narayanan 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 Harini Narayanan. Harini Narayanan 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.
Narayanan, Harini, et al.. (2025). Accelerating cell culture media development using Bayesian optimization-based iterative experimental design. Nature Communications. 16(1). 6055–6055. 1 indexed citations
2.
Luca, R. De, et al.. (2023). Comparison of strategies for iterative model-based upstream bioprocess development with single and parallel reactor set-ups. Biochemical Engineering Journal. 191. 108813–108813. 4 indexed citations
3.
Narayanan, Harini, et al.. (2023). Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation. SHILAP Revista de lepidopterología. 5. 31 indexed citations
4.
Narayanan, Harini, et al.. (2022). Improving extracellular vesicles production through a Bayesian optimization-based experimental design. European Journal of Pharmaceutics and Biopharmaceutics. 182. 103–114. 18 indexed citations
5.
Narayanan, Harini, Martin F. Luna, Michael Sokolov, Alessandro Butté, & Massimo Morbidelli. (2022). Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Cell Culture Processes. Industrial & Engineering Chemistry Research. 61(25). 8658–8672. 30 indexed citations
6.
Bournazou, Mariano Nicolás Cruz, et al.. (2022). Hybrid Gaussian Process Models for continuous time series in bolus fed-batch cultures. IFAC-PapersOnLine. 55(7). 204–209. 12 indexed citations
7.
Narayanan, Harini, et al.. (2021). Hybrid Models for the simulation and prediction of chromatographic processes for protein capture. Journal of Chromatography A. 1650. 462248–462248. 55 indexed citations
8.
Narayanan, Harini, Fabian Dingfelder, Alessandro Butté, et al.. (2021). Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation. Trends in Pharmacological Sciences. 42(3). 151–165. 110 indexed citations
9.
Narayanan, Harini, Mattia Sponchioni, & Massimo Morbidelli. (2021). Integration and digitalization in the manufacturing of therapeutic proteins. Chemical Engineering Science. 248. 117159–117159. 47 indexed citations
10.
Narayanan, Harini, Martin F. Luna, Michael Sokolov, et al.. (2021). Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step. Industrial & Engineering Chemistry Research. 60(29). 10466–10478. 39 indexed citations
11.
Sokolov, Michael, et al.. (2021). Hybrid modeling — a key enabler towards realizing digital twins in biopharma?. Current Opinion in Chemical Engineering. 34. 100715–100715. 42 indexed citations
12.
Narayanan, Harini, Fabian Dingfelder, Jais Rose Bjelke, et al.. (2021). Design of Biopharmaceutical Formulations Accelerated by Machine Learning. Molecular Pharmaceutics. 18(10). 3843–3853. 53 indexed citations
13.
Narayanan, Harini, Mariano Nicolás Cruz Bournazou, Gonzalo Guillén‐Gosálbez, & Alessandro Butté. (2021). Functional-Hybrid modeling through automated adaptive symbolic regression for interpretable mathematical expressions. Chemical Engineering Journal. 430. 133032–133032. 28 indexed citations
14.
Narayanan, Harini, et al.. (2020). Monitoring Parallel Robotic Cultivations with Online Multivariate Analysis. Processes. 8(5). 582–582. 11 indexed citations
15.
Narayanan, Harini, Martin F. Luna, Michael Sokolov, et al.. (2020). Hybrid‐EKF: Hybrid model coupled with extended Kalman filter for real‐time monitoring and control of mammalian cell culture. Biotechnology and Bioengineering. 117(9). 2703–2714. 63 indexed citations
16.
Narayanan, Harini, Michael Sokolov, Massimo Morbidelli, & Alessandro Butté. (2019). A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins. Biotechnology and Bioengineering. 116(10). 2540–2549. 86 indexed citations
17.
Narayanan, Harini, Michael Sokolov, Alessandro Butté, & Massimo Morbidelli. (2019). Decision Tree‐PLS (DT‐PLS) algorithm for the development of process: Specific local prediction models. Biotechnology Progress. 35(4). e2818–e2818. 24 indexed citations
18.
Narayanan, Harini, Michael Sokolov, Florian Glauche, et al.. (2018). Accelerated Bioprocess Development of Endopolygalacturonase-Production with Saccharomyces cerevisiae Using Multivariate Prediction in a 48 Mini-Bioreactor Automated Platform. Bioengineering. 5(4). 101–101. 20 indexed citations
19.
Narayanan, Harini, et al.. (2015). Intelligent elevator management system using image processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9443. 94432V–94432V. 1 indexed citations
20.
Guzdial, Mark, Janet L. Kolodner, Cindy E. Hmelo, et al.. (1996). Computer support for learning through complex problem solving. Communications of the ACM. 39(4). 43–45. 69 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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