Emanuele Tomba

542 total citations
19 papers, 410 citations indexed

About

Emanuele Tomba is a scholar working on Control and Systems Engineering, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Emanuele Tomba has authored 19 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 5 papers in Molecular Biology. Recurrent topics in Emanuele Tomba's work include Fault Detection and Control Systems (8 papers), Mineral Processing and Grinding (8 papers) and Advanced Statistical Process Monitoring (5 papers). Emanuele Tomba is often cited by papers focused on Fault Detection and Control Systems (8 papers), Mineral Processing and Grinding (8 papers) and Advanced Statistical Process Monitoring (5 papers). Emanuele Tomba collaborates with scholars based in Italy, United States and United Kingdom. Emanuele Tomba's co-authors include Massimiliano Barolo, Fabrizio Bezzo, Pierantonio Facco, Salvador García‐Muñoz, Roger G. Harrison, Miguel J. Bagajewicz, Martina Roso, Michele Modesti, Agnese Marcelli and John Robertson and has published in prestigious journals such as Trends in biotechnology, Industrial & Engineering Chemistry Research and International Journal of Pharmaceutics.

In The Last Decade

Emanuele Tomba

18 papers receiving 406 citations

Peers

Emanuele Tomba

CSE

SPU

Lajos Madarász Hungary

Kjell François Belgium

Jens Dhondt Belgium

René Schenkendorf Germany

Salvatore Velardi Italy

Stephen Goldrick United Kingdom

James Holman United States

Valeria Rasetto Italy

D. Laurı́ Spain

Mark Duerkop Austria

Lajos Madarász Hungary

Emanuele Tomba

32 ×0.2

CSE

83 ×0.7

134 ×1.4

77 ×0.8

9 ×0.2

SPU

Citations per year, relative to Emanuele Tomba Emanuele Tomba (= 1×) peers Lajos Madarász

Countries citing papers authored by Emanuele Tomba

Since Specialization

Citations

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

Fields of papers citing papers by Emanuele Tomba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Tomba

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

All Works

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19 of 19 papers shown

Phalak, Poonam, et al.. (2023). Digital Twin Implementation for Manufacturing of Adjuvants. Processes. 11(6). 1717–1717. 6 indexed citations

Tomba, Emanuele, et al.. (2022). Practical use of primary drying models in an industrial environment with limited availability of equipment sensors. International Journal of Pharmaceutics. 619. 121699–121699. 1 indexed citations

Castellanos, Maria Monica, et al.. (2021). Towards in silico Process Modeling for Vaccines. Trends in biotechnology. 39(11). 1120–1130. 21 indexed citations

Tomba, Emanuele, et al.. (2020). Accelerating the Development and Transfer of Freeze-Drying Operations for the Manufacturing of Biopharmaceuticals by Model-Based Design of Experiments. Industrial & Engineering Chemistry Research. 59(45). 20071–20085. 11 indexed citations

Tomba, Emanuele, et al.. (2020). Primary Drying Optimization in Pharmaceutical Freeze-Drying: A Multivial Stochastic Modeling Framework. Industrial & Engineering Chemistry Research. 59(11). 5056–5071. 30 indexed citations

Tomba, Emanuele, Pierantonio Facco, Fabrizio Bezzo, & Massimiliano Barolo. (2013). Latent variable modeling to assist the implementation of Quality-by-Design paradigms in pharmaceutical development and manufacturing: A review. International Journal of Pharmaceutics. 457(1). 283–297. 74 indexed citations

Tomba, Emanuele, Pierantonio Facco, John Robertson, et al.. (2013). General procedure to aid the development of continuous pharmaceutical processes using multivariate statistical modeling – An industrial case study. International Journal of Pharmaceutics. 444(1-2). 25–39. 21 indexed citations

Tomba, Emanuele, Pierantonio Facco, Antonello Barresi, et al.. (2013). Transfer of a nanoparticle product between different mixers using latent variable model inversion. AIChE Journal. 60(1). 123–135. 11 indexed citations

Tomba, Emanuele, Pierantonio Facco, Fabrizio Bezzo, & Salvador García‐Muñoz. (2013). Exploiting Historical Databases to Design the Target Quality Profile for a New Product. Industrial & Engineering Chemistry Research. 52(24). 8260–8271. 11 indexed citations

10.

Tomba, Emanuele, Massimiliano Barolo, & Salvador García‐Muñoz. (2013). In-silico product formulation design through latent variable model inversion. Process Safety and Environmental Protection. 92(3). 534–544. 11 indexed citations

11.

Facco, Pierantonio, et al.. (2013). Transfer of process monitoring models between plants: Batch systems. Process Safety and Environmental Protection. 92(2). 273–284. 7 indexed citations

12.

Tomba, Emanuele. (2013). Latent variable modeling approaches to assist the implementation of quality-by-design paradigms in pharmaceutical development and manufacturing. Padua@research (University of Padova). 1 indexed citations

13.

Facco, Pierantonio, Emanuele Tomba, Fabrizio Bezzo, Salvador García‐Muñoz, & Massimiliano Barolo. (2012). Transfer of Process Monitoring Models between Different Plants Using Latent Variable Techniques. Industrial & Engineering Chemistry Research. 51(21). 7327–7339. 20 indexed citations

14.

Tomba, Emanuele, Massimiliano Barolo, & Salvador García‐Muñoz. (2012). General Framework for Latent Variable Model Inversion for the Design and Manufacturing of New Products. Industrial & Engineering Chemistry Research. 51(39). 12886–12900. 50 indexed citations

15.

Tomba, Emanuele, Pierantonio Facco, Fabrizio Bezzo, Salvador García‐Muñoz, & Massimiliano Barolo. (2012). Combining fundamental knowledge and latent variable techniques to transfer process monitoring models between plants. Chemometrics and Intelligent Laboratory Systems. 116. 67–77. 20 indexed citations

16.

Facco, Pierantonio & Emanuele Tomba. (2010). Soft sensor for the characterization of fibrous materials through multivariate and multiresolution image analysis. 1319–1324.

17.

Facco, Pierantonio, Emanuele Tomba, Martina Roso, et al.. (2010). Automatic characterization of nanofiber assemblies by image texture analysis. Chemometrics and Intelligent Laboratory Systems. 103(1). 66–75. 20 indexed citations

18.

Tomba, Emanuele, Pierantonio Facco, Martina Roso, et al.. (2010). Artificial Vision System for the Automatic Measurement of Interfiber Pore Characteristics and Fiber Diameter Distribution in Nanofiber Assemblies. Industrial & Engineering Chemistry Research. 49(6). 2957–2968. 27 indexed citations

19.

Tomba, Emanuele, et al.. (2009). Prediction of protein solubility in Escherichia coli using logistic regression. Biotechnology and Bioengineering. 105(2). 374–383. 68 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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