Javier Pajares

125 total papers · 1.1k total citations
48 papers, 669 citations indexed

About

Javier Pajares is a scholar working on Management Science and Operations Research, Economics and Econometrics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Javier Pajares has authored 48 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Management Science and Operations Research, 13 papers in Economics and Econometrics and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Javier Pajares's work include Construction Project Management and Performance (15 papers), Resource-Constrained Project Scheduling (13 papers) and Scheduling and Optimization Algorithms (8 papers). Javier Pajares is often cited by papers focused on Construction Project Management and Performance (15 papers), Resource-Constrained Project Scheduling (13 papers) and Scheduling and Optimization Algorithms (8 papers). Javier Pajares collaborates with scholars based in Spain, Argentina and France. Javier Pajares's co-authors include Adolfo López‐Paredes, Fernando Acebes, José Manuel Galán, David Poza, Natalia Martín‐Cruz, María Pereda, Ricardo del Olmo, García Hernández, Juán Pavón and Ricardo Martínez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and Sustainability.

In The Last Decade

Javier Pajares

42 papers receiving 633 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Javier Pajares	470	182	166	141	64	48	669
Siamak Noori	277 0.6×	140 0.8×	129 0.8×	166 1.2×	81 1.3×	49	590
W. Edward Back	429 0.9×	307 1.7×	105 0.6×	61 0.4×	86 1.3×	31	638
Obuks Ejohwomu	245 0.5×	324 1.8×	137 0.8×	105 0.7×	55 0.9×	62	777
Robert I. Carr	524 1.1×	392 2.2×	92 0.6×	117 0.8×	52 0.8×	37	781
Indra Gunawan	248 0.5×	110 0.6×	157 0.9×	122 0.9×	65 1.0×	58	717
Li‐Chung Chao	312 0.7×	298 1.6×	128 0.8×	75 0.5×	43 0.7×	30	645
Asbjørn Rolstadås	367 0.8×	135 0.7×	287 1.7×	106 0.8×	231 3.6×	48	787
Cenk Budayan	317 0.7×	202 1.1×	182 1.1×	24 0.2×	62 1.0×	39	642
Samuel Laryea	482 1.0×	258 1.4×	299 1.8×	39 0.3×	116 1.8×	54	729
Ngoc-Ai-Thy Nguyen	372 0.8×	81 0.4×	195 1.2×	120 0.9×	92 1.4×	25	764

Countries citing papers authored by Javier Pajares

Since Specialization

Citations

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

Fields of papers citing papers by Javier Pajares

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Pajares

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

All Works

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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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