Stéphane Negny

1.3k total citations
53 papers, 797 citations indexed

About

Stéphane Negny is a scholar working on Control and Systems Engineering, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Stéphane Negny has authored 53 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 13 papers in Artificial Intelligence and 12 papers in Strategy and Management. Recurrent topics in Stéphane Negny's work include Process Optimization and Integration (11 papers), Sustainable Supply Chain Management (10 papers) and Biofuel production and bioconversion (8 papers). Stéphane Negny is often cited by papers focused on Process Optimization and Integration (11 papers), Sustainable Supply Chain Management (10 papers) and Biofuel production and bioconversion (8 papers). Stéphane Negny collaborates with scholars based in France, Ethiopia and Mexico. Stéphane Negny's co-authors include Ludovic Montastruc, Guillermo Cortés-Robles, J.M. Le Lann, Serge Domenech, M. Meyer, Michel Prévost, Jean‐Pierre Belaud, Pascal Floquet, Fabrice Dupros and David Michéa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Chemical Engineering Journal.

In The Last Decade

Stéphane Negny

49 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Negny France 15 186 153 131 112 98 53 797
Guan‐Wei Huang Taiwan 7 98 0.5× 121 0.8× 200 1.5× 89 0.8× 51 0.5× 8 1.0k
Ateekh Ur Rehman Saudi Arabia 16 140 0.8× 118 0.8× 313 2.4× 120 1.1× 34 0.3× 114 934
Luca Silvestri Italy 21 190 1.0× 79 0.5× 159 1.2× 284 2.5× 66 0.7× 73 1.3k
Fikri Dweiri United Arab Emirates 16 306 1.6× 64 0.4× 166 1.3× 249 2.2× 64 0.7× 70 1.2k
Saeed Talebi Iran 16 66 0.4× 74 0.5× 220 1.7× 125 1.1× 37 0.4× 99 1.1k
Roberto Gabbrielli Italy 20 108 0.6× 271 1.8× 526 4.0× 119 1.1× 29 0.3× 72 1.3k
Modestus O. Okwu Nigeria 20 157 0.8× 379 2.5× 301 2.3× 75 0.7× 87 0.9× 101 1.4k
Somesh Kumar Sharma India 18 404 2.2× 134 0.9× 189 1.4× 178 1.6× 20 0.2× 52 1.1k
M. Ilangkumaran India 22 193 1.0× 716 4.7× 395 3.0× 122 1.1× 41 0.4× 63 1.8k
В С Тынченко Russia 20 96 0.5× 61 0.4× 511 3.9× 268 2.4× 82 0.8× 264 1.7k

Countries citing papers authored by Stéphane Negny

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Negny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Negny

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Negny. A scholar is included among the top collaborators of Stéphane Negny 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 Stéphane Negny. Stéphane Negny 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.
Negny, Stéphane, et al.. (2025). Hybrid neural networks for improved chemical process modeling: Bridging data-driven insights with physical consistency. Digital Chemical Engineering. 16. 100256–100256.
2.
Negny, Stéphane, et al.. (2025). Incorporating Physical Constraints inside Neural Networks to Improve their Accuracy and Physical Reliability for Chemical Engineering Unit Operations Modeling. Computers & Chemical Engineering. 199. 109156–109156. 1 indexed citations
3.
Colletis, Gabriel, et al.. (2025). Toward a generic method to help develop circular economy indicators. Journal of Cleaner Production. 494. 144678–144678. 3 indexed citations
4.
Negny, Stéphane, et al.. (2024). A generic hybrid method combining rules and machine learning to automate domain independent ontology population. Engineering Applications of Artificial Intelligence. 133. 108571–108571.
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Montastruc, Ludovic, et al.. (2024). Considering economic-environmental dimension in the integrated strategic and tactical optimization of Ethiopia's bioethanol supply chain coupled with operational planning. Computers & Chemical Engineering. 189. 108781–108781. 1 indexed citations
8.
Montastruc, Ludovic, et al.. (2024). Strategic and tactical planning model for the design of perishable product supply chain network in Ethiopia. Computers & Chemical Engineering. 190. 108814–108814. 5 indexed citations
9.
Negny, Stéphane, et al.. (2023). Knowledge extraction from textual data and performance evaluation in an unsupervised context. Information Sciences. 629. 324–343. 5 indexed citations
10.
Negny, Stéphane, et al.. (2023). Enhancing Computational Performances in Chemical Processes Costs and Emissions Prediction: a Surrogate Modelling Based Approach. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Negny, Stéphane, et al.. (2023). Robustness in optimal design of Eco-Industrial Parks under the lens of two-stage stochastic optimization. Computers & Chemical Engineering. 179. 108399–108399. 3 indexed citations
12.
Negny, Stéphane, et al.. (2022). Minimizing Transport Emissions for Products Delivery: Accounting for Uncertainty on Industrial Supply Chains. SHILAP Revista de lepidopterología. 1 indexed citations
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14.
Montastruc, Ludovic, et al.. (2020). Progress of fermentation methods for bio-succinic acid production using agro-industrial waste by Actinobacillus succinogenes. Energy Reports. 6. 234–239. 31 indexed citations
15.
Boix, Marianne, et al.. (2020). Optimal Design of Eco-Industrial Parks with coupled energy networks addressing Complexity bottleneck through an Interdependence analysis. Computers & Chemical Engineering. 138. 106859–106859. 13 indexed citations
16.
Negny, Stéphane, et al.. (2017). Quantitative method to assess the number of jobs created by production systems: Application to multi-criteria decision analysis for sustainable biomass supply chain. Sustainable Production and Consumption. 12. 134–154. 13 indexed citations
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Belaud, Jean‐Pierre, et al.. (2015). Using the Collective Intelligence for inventive problem solving: A contribution for Open Computer Aided Innovation. Expert Systems with Applications. 42(23). 9340–9352. 21 indexed citations
19.
Negny, Stéphane, et al.. (2015). Improvement of online adaptation knowledge acquisition and reuse in case-based reasoning: Application to process engineering design. Engineering Applications of Artificial Intelligence. 41. 1–16. 35 indexed citations
20.
Negny, Stéphane, M. Meyer, & Michel Prévost. (2001). Study of a laminar falling film flowing over a wavy wall column: Part I. Numerical investigation of the flow pattern and the coupled heat and mass transfer. International Journal of Heat and Mass Transfer. 44(11). 2137–2146. 29 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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