Paula Zabala

49 total papers · 823 total citations
28 papers, 547 citations indexed

About

Paula Zabala is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Paula Zabala has authored 28 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Industrial and Manufacturing Engineering, 10 papers in Management Science and Operations Research and 8 papers in Computer Networks and Communications. Recurrent topics in Paula Zabala's work include Vehicle Routing Optimization Methods (15 papers), Scheduling and Timetabling Solutions (10 papers) and Optimization and Packing Problems (6 papers). Paula Zabala is often cited by papers focused on Vehicle Routing Optimization Methods (15 papers), Scheduling and Timetabling Solutions (10 papers) and Optimization and Packing Problems (6 papers). Paula Zabala collaborates with scholars based in Argentina, Spain and Italy. Paula Zabala's co-authors include Isabel Méndez‐Díaz, Juan José Miranda‐Bront, Gustavo Vulcano, Abílio Lucena, Javier Marenco, Guillermo Cabrera‐Guerrero, Nibaldo Rodríguez, Abhishek Gupta, Sihem Amer-Yahia and Francesco Bonchi and has published in prestigious journals such as European Journal of Operational Research, Sensors and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Paula Zabala

27 papers receiving 524 citations

Author Peers

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

Author						Papers	Cites
Paula Zabala	274	199	119	113	99	28	547
Claude McMillan	249 0.9×	180 0.9×	77 0.6×	33 0.3×	104 1.1×	19	580
Frieda Granot	132 0.5×	160 0.8×	76 0.6×	158 1.4×	68 0.7×	54	584
H. Groenevelt	200 0.7×	114 0.6×	176 1.5×	72 0.6×	311 3.1×	12	549
Rajat Deb	98 0.4×	278 1.4×	76 0.6×	94 0.8×	107 1.1×	36	566
Srinivas Bollapragada	157 0.6×	157 0.8×	53 0.4×	52 0.5×	234 2.4×	31	553
Giorgio Iacobellis	174 0.6×	63 0.3×	39 0.3×	92 0.8×	123 1.2×	46	454
Thomas Vossen	158 0.6×	80 0.4×	87 0.7×	22 0.2×	132 1.3×	20	589
Yury Kochetov	337 1.2×	104 0.5×	80 0.7×	63 0.6×	23 0.2×	54	510
Richard D. Wollmer	97 0.4×	80 0.4×	66 0.6×	43 0.4×	172 1.7×	20	603
Ying Tat Leung	202 0.7×	119 0.6×	40 0.3×	104 0.9×	191 1.9×	22	475

Countries citing papers authored by Paula Zabala

Since Specialization

Citations

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

Fields of papers citing papers by Paula Zabala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Zabala

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Zabala. A scholar is included among the top collaborators of Paula Zabala 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 Paula Zabala. Paula Zabala 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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