Leo Lopes

413 total citations
12 papers, 235 citations indexed

About

Leo Lopes is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Leo Lopes has authored 12 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Management Science and Operations Research, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Leo Lopes's work include Reliability and Maintenance Optimization (2 papers), Scheduling and Timetabling Solutions (2 papers) and Constraint Satisfaction and Optimization (2 papers). Leo Lopes is often cited by papers focused on Reliability and Maintenance Optimization (2 papers), Scheduling and Timetabling Solutions (2 papers) and Constraint Satisfaction and Optimization (2 papers). Leo Lopes collaborates with scholars based in United States, Australia and Chile. Leo Lopes's co-authors include Kate Smith‐Miles, Luiz Antônio Nogueira Lorena, Robert Fourer, Tianhai Tian, Kipp Martin, J. Cole Smith, Marwan Krunz, Raed T. Al‐Zubi, Ralph Gailis and Ajith Gunatilaka and has published in prestigious journals such as Operations Research, Journal of the Operational Research Society and Computers & Operations Research.

In The Last Decade

Leo Lopes

12 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leo Lopes United States	7	85	82	57	53	30	12	235
Dale A. Schoenefeld United States	9	169 2.0×	58 0.7×	30 0.5×	68 1.3×	43 1.4×	26	302
Éric Angel France	11	104 1.2×	165 2.0×	76 1.3×	131 2.5×	96 3.2×	38	385
Belaïd Benhamou France	9	100 1.2×	51 0.6×	50 0.9×	99 1.9×	50 1.7×	45	249
Ekhiñe Irurozki Spain	7	157 1.8×	136 1.7×	39 0.7×	27 0.5×	51 1.7×	22	307
Sylvain Perron Canada	8	88 1.0×	41 0.5×	13 0.2×	28 0.5×	31 1.0×	21	275
Feng Shi China	11	42 0.5×	52 0.6×	18 0.3×	26 0.5×	56 1.9×	62	311
Qinglin Guo China	8	118 1.4×	79 1.0×	15 0.3×	25 0.5×	12 0.4×	19	262
Chris Voudouris United Kingdom	8	70 0.8×	148 1.8×	77 1.4×	77 1.5×	22 0.7×	20	269
Hadeli Belgium	8	55 0.6×	207 2.5×	19 0.3×	40 0.8×	29 1.0×	16	317
René Weiskircher Austria	7	27 0.3×	95 1.2×	36 0.6×	32 0.6×	76 2.5×	14	240

Countries citing papers authored by Leo Lopes

Since Specialization

Citations

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

Fields of papers citing papers by Leo Lopes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Lopes

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

All Works

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12 of 12 papers shown

Gailis, Ralph, Ajith Gunatilaka, Leo Lopes, Alex Skvortsov, & Kate Smith‐Miles. (2013). Managing uncertainty in early estimation of epidemic behaviors using scenario trees. IIE Transactions. 46(8). 828–842. 2 indexed citations

Lopes, Leo & Kate Smith‐Miles. (2013). Generating Applicable Synthetic Instances for Branch Problems. Operations Research. 61(3). 563–577. 14 indexed citations

Smith‐Miles, Kate, et al.. (2011). Mathematical modelling of stem cell differentiation: the PU.1–GATA-1 interaction. Journal of Mathematical Biology. 64(3). 449–468. 28 indexed citations

Smith‐Miles, Kate & Leo Lopes. (2011). Measuring instance difficulty for combinatorial optimization problems. Computers & Operations Research. 39(5). 875–889. 126 indexed citations

Lopes, Leo, et al.. (2010). The most likely path on series‐parallel networks. Networks. 58(1). 68–80. 4 indexed citations

Al‐Zubi, Raed T., Marwan Krunz, & Leo Lopes. (2010). Resource Utilization Mechanism for Multi-Rate Ultra-Wide Band Networks. 1–5. 3 indexed citations

Lopes, Leo, et al.. (2010). Preprocessing Stochastic Shortest-Path Problems with Application to PERT Activity Networks. INFORMS journal on computing. 23(3). 460–469. 1 indexed citations

Lopes, Leo, et al.. (2008). Optimization Support for Senior Design Project Assignments. INFORMS Journal on Applied Analytics. 38(6). 448–464. 8 indexed citations

Fourer, Robert & Leo Lopes. (2008). StAMPL: A Filtration-Oriented Modeling Tool for Multistage Stochastic Recourse Problems. INFORMS journal on computing. 21(2). 242–256. 6 indexed citations

10.

Fourer, Robert & Leo Lopes. (2006). A management system for decompositions in stochastic programming. Annals of Operations Research. 142(1). 99–118. 8 indexed citations

11.

Fourer, Robert, Leo Lopes, & Kipp Martin. (2005). LPFML: A W3C XML Schema for Linear and Integer Programming. INFORMS journal on computing. 17(2). 139–158. 11 indexed citations

12.

Lorena, Luiz Antônio Nogueira & Leo Lopes. (1997). Genetic algorithms applied to computationally difficult set covering problems. Journal of the Operational Research Society. 48(4). 440–445. 24 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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