Lawrence Mandow

495 total citations
18 papers, 297 citations indexed

About

Lawrence Mandow is a scholar working on Mechanical Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Lawrence Mandow has authored 18 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 5 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in Lawrence Mandow's work include Design Education and Practice (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Architecture and Computational Design (5 papers). Lawrence Mandow is often cited by papers focused on Design Education and Practice (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Architecture and Computational Design (5 papers). Lawrence Mandow collaborates with scholars based in Spain, Italy and Germany. Lawrence Mandow's co-authors include José-Luís Pérez-de-la-Cruz, Peter Sanders, Eduardo Jiménez-Morales, Eva Millán, Pedro Meseguer, Rogardt Heldal, Ludovico Iovino, Rafael M. Gasca, Adrian Rutle and Mercedes Amor and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the ACM.

In The Last Decade

Lawrence Mandow

18 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lawrence Mandow Spain 10 86 69 63 54 52 18 297
Prosenjit Gupta India 9 93 1.1× 76 1.1× 28 0.4× 32 0.6× 21 0.4× 43 302
Wojciech Turek Poland 9 41 0.5× 51 0.7× 20 0.3× 20 0.4× 31 0.6× 51 225
Reinhard Bauer Germany 9 70 0.8× 63 0.9× 34 0.5× 12 0.2× 32 0.6× 19 320
Hitoshi Kanoh Japan 9 52 0.6× 92 1.3× 35 0.6× 8 0.1× 63 1.2× 42 313
Xuelei Meng China 8 96 1.1× 24 0.3× 48 0.8× 35 0.6× 29 0.6× 31 299
Hong Choon Ong Malaysia 9 31 0.4× 25 0.4× 66 1.0× 35 0.6× 15 0.3× 20 310
Stefan Witwicki United States 11 30 0.3× 64 0.9× 28 0.4× 44 0.8× 67 1.3× 27 349
Wilfried Jakob Germany 9 39 0.5× 41 0.6× 67 1.1× 51 0.9× 15 0.3× 34 367
Theja Tulabandhula United States 10 32 0.4× 80 1.2× 12 0.2× 11 0.2× 45 0.9× 38 354
Z.-P. Lo United States 9 46 0.5× 76 1.1× 7 0.1× 25 0.5× 54 1.0× 21 349

Countries citing papers authored by Lawrence Mandow

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Mandow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Mandow

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

All Works

18 of 18 papers shown
1.
Mandow, Lawrence, et al.. (2020). A comparative study of reinforcement learning techniques to repair models. 1–9. 10 indexed citations
2.
Mandow, Lawrence, et al.. (2020). Architectural planning with shape grammars and reinforcement learning: Habitability and energy efficiency. Engineering Applications of Artificial Intelligence. 96. 103909–103909. 15 indexed citations
3.
Mandow, Lawrence, et al.. (2017). A mobile and interactive multiobjective urban tourist route planning system. Journal of Ambient Intelligence and Smart Environments. 9(1). 129–144. 7 indexed citations
4.
Mandow, Lawrence, et al.. (2017). A temporal difference method for multi-objective reinforcement learning. Neurocomputing. 263. 15–25. 23 indexed citations
5.
Pérez-de-la-Cruz, José-Luís, et al.. (2015). Fuzzy shape grammars. Progress in Artificial Intelligence. 5(1). 47–53. 1 indexed citations
6.
Mandow, Lawrence, et al.. (2015). Lower bound sets for biobjective shortest path problems. Journal of Global Optimization. 64(1). 63–77. 4 indexed citations
7.
Mandow, Lawrence, et al.. (2015). Dimensionality reduction in multiobjective shortest path search. Computers & Operations Research. 64. 60–70. 40 indexed citations
8.
Jiménez-Morales, Eduardo, et al.. (2014). Proyecto arquitectónico mediante gramáticas de formas sencillas y aprendizaje. Redalyc (Universidad Autónoma del Estado de México). 17(54). 21–29. 1 indexed citations
9.
Mandow, Lawrence, et al.. (2014). Layered shape grammars. Computer-Aided Design. 56. 104–119. 14 indexed citations
10.
Millán, Eva, et al.. (2014). Randomness and control in design processes: An empirical study with architecture students. Design Studies. 35(4). 392–411. 8 indexed citations
11.
Mandow, Lawrence, et al.. (2014). Multiobjective shortest path problems with lexicographic goal-based preferences. European Journal of Operational Research. 239(1). 89–101. 18 indexed citations
12.
Jiménez-Morales, Eduardo, et al.. (2013). Design with shape grammars and reinforcement learning. Advanced Engineering Informatics. 27(2). 230–245. 53 indexed citations
13.
Sanders, Peter & Lawrence Mandow. (2013). Parallel Label-Setting Multi-objective Shortest Path Search. 215–224. 19 indexed citations
14.
Meseguer, Pedro, Rafael M. Gasca, & Lawrence Mandow. (2010). Current Topics in Artificial Intelligence. Lecture notes in computer science. 5 indexed citations
15.
Mandow, Lawrence, et al.. (2009). Shapes, grammars, constraints and policies. 7 indexed citations
16.
Mandow, Lawrence & José-Luís Pérez-de-la-Cruz. (2008). Multiobjective A * search with consistent heuristics. Journal of the ACM. 57(5). 1–25. 59 indexed citations
17.
Mandow, Lawrence & José-Luís Pérez-de-la-Cruz. (2004). Sindi: an intelligent assistant for highway design. Expert Systems with Applications. 27(4). 635–644. 12 indexed citations
18.
Mandow, Lawrence, et al.. (1997). Diseño mediante satisfacción de metas. Dialnet (Universidad de la Rioja). 715–724. 1 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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