Blas Pelegrı́n

1.0k total citations
60 papers, 700 citations indexed

About

Blas Pelegrı́n is a scholar working on Organizational Behavior and Human Resource Management, Industrial and Manufacturing Engineering and Building and Construction. According to data from OpenAlex, Blas Pelegrı́n has authored 60 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Organizational Behavior and Human Resource Management, 18 papers in Industrial and Manufacturing Engineering and 14 papers in Building and Construction. Recurrent topics in Blas Pelegrı́n's work include Facility Location and Emergency Management (32 papers), Vehicle Routing Optimization Methods (15 papers) and Urban and Freight Transport Logistics (14 papers). Blas Pelegrı́n is often cited by papers focused on Facility Location and Emergency Management (32 papers), Vehicle Routing Optimization Methods (15 papers) and Urban and Freight Transport Logistics (14 papers). Blas Pelegrı́n collaborates with scholars based in Spain, Lithuania and Belgium. Blas Pelegrı́n's co-authors include Pascual Fernández, José Fernández, Alfredo Marı́n, Frank Plastria, Boglárka G.-Tóth, E.M.T. Hendrix, Julius Žilinskas, F.R. Fernández, María Dolores García García and Christian Michelot and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and Computers & Operations Research.

In The Last Decade

Blas Pelegrı́n

54 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Blas Pelegrı́n Spain 18 363 279 183 99 94 60 700
Jörg Kalcsics Germany 16 367 1.0× 388 1.4× 177 1.0× 67 0.7× 69 0.7× 44 696
Tony J. Van Roy Belgium 10 332 0.9× 761 2.7× 161 0.9× 141 1.4× 68 0.7× 11 1.2k
Samuel S. Chiu United States 12 562 1.5× 394 1.4× 225 1.2× 103 1.0× 64 0.7× 25 902
Christopher M. Rump United States 12 241 0.7× 280 1.0× 112 0.6× 258 2.6× 57 0.6× 21 861
F.R. Fernández Spain 16 187 0.5× 165 0.6× 63 0.3× 46 0.5× 62 0.7× 42 731
Alfredo Marı́n Spain 22 907 2.5× 987 3.5× 375 2.0× 135 1.4× 85 0.9× 57 1.3k
Wolfgang Domschke Germany 14 117 0.3× 860 3.1× 172 0.9× 147 1.5× 41 0.4× 38 1.1k
O. Berman Canada 17 387 1.1× 355 1.3× 127 0.7× 110 1.1× 31 0.3× 50 857
Markus Sinnl Austria 13 235 0.6× 315 1.1× 75 0.4× 125 1.3× 29 0.3× 46 799
Yury Kochetov Russia 15 180 0.5× 328 1.2× 119 0.7× 78 0.8× 16 0.2× 50 491

Countries citing papers authored by Blas Pelegrı́n

Since Specialization
Citations

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

Fields of papers citing papers by Blas Pelegrı́n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blas Pelegrı́n

This figure shows the co-authorship network connecting the top 25 collaborators of Blas Pelegrı́n. A scholar is included among the top collaborators of Blas Pelegrı́n 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 Blas Pelegrı́n. Blas Pelegrı́n 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.
Žilinskas, Julius, et al.. (2024). Population-based algorithm for discrete facility location with ranking of candidate locations. Journal of Computational and Applied Mathematics. 457. 116304–116304. 1 indexed citations
2.
Marianov, Vladimir, et al.. (2023). Sequential customers’ decisions in facility location with comparison-shopping. Computers & Operations Research. 161. 106448–106448. 3 indexed citations
3.
Pelegrı́n, Blas, Pascual Fernández, & María Dolores García García. (2023). On the Existence and Computation of Nash Equilibrium in Network Competitive Location Under Delivered Pricing and Price Sensitive Demand. Networks and Spatial Economics. 23(4). 825–843.
4.
Fernández, Pascual, et al.. (2022). A discrete competitive facility location model with proportional and binary rules sequentially applied. Optimization Letters. 17(4). 867–877. 1 indexed citations
5.
Žilinskas, Julius, et al.. (2020). Solution of asymmetric discrete competitive facility location problems using ranking of candidate locations. Soft Computing. 24(23). 17705–17713. 3 indexed citations
6.
Fernández, Pascual, et al.. (2020). A Discrete Competitive Facility Location Model with Minimal Market Share Constraints and Equity-Based Ties Breaking Rule. Informatica. 205–224. 8 indexed citations
7.
Fernández, Pascual, et al.. (2016). New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior. Computers & Operations Research. 79. 12–18. 29 indexed citations
8.
Fernández, Pascual, et al.. (2016). Solution of Discrete Competitive Facility Location Problem for Firm Expansion. Informatica. 27(2). 451–462. 6 indexed citations
9.
Redondo, Juana L., Blas Pelegrı́n, Pascual Fernández, I. García, & Pilar M. Ortigosa. (2010). Finding multiple global optima for unconstrained discrete location problems. Optimization methods & software. 26(2). 207–224. 3 indexed citations
10.
Pelegrı́n, Blas, et al.. (2010). Isodistant points in competitive network facility location. Top. 20(3). 639–660. 8 indexed citations
11.
Hendrix, E.M.T., et al.. (2010). On Nash equilibria of a competitive location-design problem. European Journal of Operational Research. 210(3). 588–593. 26 indexed citations
12.
Mesa, Juan A., Blas Pelegrı́n, & Justo Puerto. (2008). Selected papers presented at the tenth International Symposium on Locational Decisions (ISOLDE X). Computers & Operations Research. 36(5). 1333–1334.
13.
Hendrix, E.M.T., et al.. (2008). On a branch-and-bound approach for a Huff-like Stackelberg location problem. OR Spectrum. 31(3). 679–705. 28 indexed citations
14.
Pelegrı́n, Blas, José Fernández, & Boglárka G.-Tóth. (2006). The 1-center problem in the plane with independent random weights. Computers & Operations Research. 35(3). 737–749. 4 indexed citations
15.
Pelegrı́n, Blas, Pascual Fernández, Rafael Suárez‐Vega, & María Dolores García García. (2006). Single facility location on a network under mill and delivered pricing. IMA Journal of Management Mathematics. 17(4). 373–385. 5 indexed citations
16.
Fernández, Pascual, et al.. (2004). On price competition in location-price models with spatially separated markets. Top. 12(2). 351–374. 24 indexed citations
17.
Marı́n, Alfredo & Blas Pelegrı́n. (1998). The return plant location problem: Modelling and resolution. European Journal of Operational Research. 104(2). 375–392. 66 indexed citations
18.
Pelegrı́n, Blas & Pascual Fernández. (1998). On the sum-max bicriterion path problem. Computers & Operations Research. 25(12). 1043–1054. 17 indexed citations
19.
Pelegrı́n, Blas, et al.. (1991). Asignacion de recuerdos max-min: Propiedades y algoritmos. idUS (Universidad de Sevilla). 6(1). 45–59.
20.
Pelegrı́n, Blas & F.R. Fernández. (1988). Determination of efficient points in multiple-objective location problems. Naval Research Logistics (NRL). 35(6). 697–705. 25 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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