Guido Sand

1.7k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Guido Sand is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Guido Sand has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 16 papers in Industrial and Manufacturing Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Guido Sand's work include Advanced Control Systems Optimization (21 papers), Process Optimization and Integration (21 papers) and Scheduling and Optimization Algorithms (13 papers). Guido Sand is often cited by papers focused on Advanced Control Systems Optimization (21 papers), Process Optimization and Integration (21 papers) and Scheduling and Optimization Algorithms (13 papers). Guido Sand collaborates with scholars based in Germany, Sweden and Finland. Guido Sand's co-authors include Sebastian Engell, Iiro Harjunkoski, Ignacio E. Grossmann, Alf Isaksson, John Hooker, Christos T. Maravelias, Peter Bongers, John M. Wassick, Carlos A. Méndez and Pedro M. Castro and has published in prestigious journals such as Industrial & Engineering Chemistry Research, IEEE Transactions on Evolutionary Computation and Applied Physics A.

In The Last Decade

Guido Sand

27 papers receiving 1.1k citations

Hit Papers

Scope for industrial applications of production schedulin... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido Sand Germany 15 751 535 143 106 79 28 1.1k
Arul Sundaramoorthy United States 19 840 1.1× 582 1.1× 181 1.3× 74 0.7× 34 0.4× 22 1.1k
Nelson A. Uhan United States 11 130 0.2× 619 1.2× 137 1.0× 237 2.2× 98 1.2× 26 1.0k
Paulo Eigi Miyagi Brazil 16 173 0.2× 416 0.8× 153 1.1× 52 0.5× 241 3.1× 111 873
Aldo Vecchietti Argentina 14 413 0.5× 132 0.2× 53 0.4× 26 0.2× 60 0.8× 49 751
G. V. Reklaitis United States 18 572 0.8× 236 0.4× 60 0.4× 19 0.2× 123 1.6× 62 1.1k
Yves Sallez France 17 119 0.2× 582 1.1× 74 0.5× 33 0.3× 39 0.5× 50 860
Maria João Alves Portugal 17 277 0.4× 121 0.2× 193 1.3× 79 0.7× 217 2.7× 35 740
Davide Giglio Italy 15 293 0.4× 335 0.6× 70 0.5× 15 0.1× 184 2.3× 84 769
Stephan Biller United States 24 195 0.3× 1.1k 2.0× 125 0.9× 250 2.4× 70 0.9× 73 1.6k
Chia‐Yu Hsu Taiwan 15 183 0.2× 417 0.8× 231 1.6× 23 0.2× 16 0.2× 30 815

Countries citing papers authored by Guido Sand

Since Specialization
Citations

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

Fields of papers citing papers by Guido Sand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Sand

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Sand. A scholar is included among the top collaborators of Guido Sand 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 Guido Sand. Guido Sand 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.
Sand, Guido, et al.. (2017). Optimization of multipurpose process plant operations: A multi-time-scale maintenance and production scheduling approach. Computers & Chemical Engineering. 99. 325–339. 38 indexed citations
2.
Isaksson, Alf, Iiro Harjunkoski, & Guido Sand. (2017). The impact of digitalization on the future of control and operations. Computers & Chemical Engineering. 114. 122–129. 106 indexed citations
3.
Sand, Guido, et al.. (2016). An Improved Energy-Awareness Formulation for General Precedence Continuous-Time Scheduling Models. Industrial & Engineering Chemistry Research. 55(5). 1336–1346. 10 indexed citations
4.
Chioua, Moncef, Margret Bauer, Suliang Chen, et al.. (2015). Plant-wide root cause identification using plant key performance indicators (KPIs) with application to a paper machine. Control Engineering Practice. 49. 149–158. 16 indexed citations
5.
Harjunkoski, Iiro, Christos T. Maravelias, Peter Bongers, et al.. (2013). Scope for industrial applications of production scheduling models and solution methods. Computers & Chemical Engineering. 62. 161–193. 353 indexed citations breakdown →
6.
Sand, Guido, et al.. (2012). An innovative scheduling coordination method for improved productivity and energy efficiency of a large-scale integrated steel plant. IFAC Proceedings Volumes. 45(23). 250–255. 2 indexed citations
7.
Sand, Guido, et al.. (2012). A new heuristic for plant-wide schedule coordination problems: The intersection coordination heuristic. Computers & Chemical Engineering. 42. 152–167. 15 indexed citations
8.
Sand, Guido, et al.. (2010). Coordination of Distributed Production Planning and Scheduling Systems. IFAC Proceedings Volumes. 43(17). 126–131. 4 indexed citations
9.
Sand, Guido, et al.. (2009). A memetic algorithm for global optimization in chemical process synthesis. 1721–1728. 2 indexed citations
10.
Bauer, Margret, Moncef Chioua, Jörg Schilling, Guido Sand, & Iiro Harjunkoski. (2009). Profitability and Re-usability: An Example of a Modular Model for Online Optimization. IFAC Proceedings Volumes. 42(11). 756–761. 1 indexed citations
12.
Sand, Guido, et al.. (2008). Modellierungsansätze für die Design‐Optimierung von reaktiven Rektifikationskolonnen. Chemie Ingenieur Technik. 80(1-2). 107–117. 8 indexed citations
13.
Sand, Guido, et al.. (2007). Engineered versus standard evolutionary algorithms: A case study in batch scheduling with recourse. Computers & Chemical Engineering. 32(11). 2706–2722. 16 indexed citations
14.
Sand, Guido, et al.. (2006). A hybrid evolutionary algorithm for solving two-stage stochastic integer programs in chemical batch scheduling. Computers & Chemical Engineering. 31(5-6). 630–647. 44 indexed citations
15.
Sand, Guido, et al.. (2004). ReadOpt – Reaktor‐Design‐ Optimierung durch Heuristik‐ gestützte MINLP‐Methoden. Chemie Ingenieur Technik. 76(8). 1105–1110. 3 indexed citations
16.
Engell, Sebastian, et al.. (2004). Aggregated Scheduling of a Multiproduct Batch Plant by Two-Stage Stochastic Integer Programming. Optimization and Engineering. 5(3). 335–359. 22 indexed citations
17.
Sand, Guido, et al.. (2003). READOPT – Reaktor‐Design‐Optimierung durch heuristikgestützte MINLP‐Methoden. Chemie Ingenieur Technik. 75(8). 1025–1026. 1 indexed citations
18.
Sand, Guido & Sebastian Engell. (2003). Modeling and solving real-time scheduling problems by stochastic integer programming. Computers & Chemical Engineering. 28(6-7). 1087–1103. 76 indexed citations
19.
Engell, Sebastian, et al.. (2002). Scheduling of a multiproduct batch plant by two-stage stochastic integer programming. DuEPublico (University of Duisburg-Essen). 6 indexed citations
20.
Littrell, Kenneth C., et al.. (2002). Structural characterization of activated carbon adsorbents prepared from paper mill sludge. Applied Physics A. 74(0). s1403–s1405. 3 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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