Sándor Bozóki

1.3k total citations
52 papers, 903 citations indexed

About

Sándor Bozóki is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Sándor Bozóki has authored 52 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 9 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Sándor Bozóki's work include Multi-Criteria Decision Making (30 papers), Bayesian Modeling and Causal Inference (5 papers) and Fuzzy Systems and Optimization (5 papers). Sándor Bozóki is often cited by papers focused on Multi-Criteria Decision Making (30 papers), Bayesian Modeling and Causal Inference (5 papers) and Fuzzy Systems and Optimization (5 papers). Sándor Bozóki collaborates with scholars based in Hungary, Italy and United States. Sándor Bozóki's co-authors include János Fülöp, Tamás Rapcsák, Lajos Rónyai, Łászló Csató, Jonathan D. Campbell, Zoltán Kaló, Bertalan Németh, András Inotai, Waldemar W. Koczkodaj and Gabriele Oliva and has published in prestigious journals such as Scientific Reports, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Sándor Bozóki

46 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sándor Bozóki Hungary	16	587	159	148	144	118	52	903
Peng Wu China	20	550 0.9×	168 1.1×	136 0.9×	239 1.7×	200 1.7×	62	983
Patrick Meyer France	15	539 0.9×	207 1.3×	93 0.6×	391 2.7×	168 1.4×	67	1.4k
Jing–Rong Chang Taiwan	13	629 1.1×	98 0.6×	116 0.8×	237 1.6×	210 1.8×	32	962
Waldemar W. Koczkodaj Canada	19	659 1.1×	267 1.7×	67 0.5×	263 1.8×	92 0.8×	65	1.0k
Simon French United Kingdom	11	403 0.7×	95 0.6×	110 0.7×	273 1.9×	85 0.7×	20	1.5k
Roberta Parreiras Brazil	14	595 1.0×	210 1.3×	43 0.3×	299 2.1×	160 1.4×	24	870
DA Qing-li China	14	583 1.0×	217 1.4×	60 0.4×	142 1.0×	199 1.7×	76	813
Yanping Jiang China	12	615 1.0×	210 1.3×	33 0.2×	239 1.7×	189 1.6×	32	796
José Luis Garcı́a-Lapresta Spain	18	558 1.0×	286 1.8×	189 1.3×	196 1.4×	75 0.6×	73	791
Ludmila Dymova Poland	18	817 1.4×	173 1.1×	103 0.7×	303 2.1×	255 2.2×	39	1.1k

Countries citing papers authored by Sándor Bozóki

Since Specialization

Citations

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

Fields of papers citing papers by Sándor Bozóki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sándor Bozóki

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

All Works

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20 of 20 papers shown

Sípos, László, et al.. (2025). How to measure consumer's inconsistency in sensory testing?. Current Research in Food Science. 10. 100982–100982. 2 indexed citations

Sípos, László, et al.. (2025). Trends and Directions of Preference Elicitation and Assessment in Food Science: Single‐, Pair‐, and Multi‐Criteria Ranking Methods. Food Science & Nutrition. 13(8). e70684–e70684.

Sípos, László, et al.. (2025). Statistical overview of the Sniffin’ sticks olfactory test from the perspectives of anosmia and hyposmia. Scientific Reports. 15(1). 8984–8984.

Bíró, Péter, Sándor Bozóki, Tamás Király, & Alexandru Kristály. (2024). Optimization methods and algorithms. Central European Journal of Operations Research. 32(1). 1–9.

Bozóki, Sándor, et al.. (2024). Geometric interpretation of efficient weight vectors. Knowledge-Based Systems. 303. 112403–112403. 2 indexed citations

Bozóki, Sándor, et al.. (2024). Trust and reputation systems for production networks. IFAC-PapersOnLine. 58(19). 893–898. 1 indexed citations

Bozóki, Sándor, et al.. (2023). Incomplete pairwise comparison matrices: Ranking top women tennis players. Journal of the Operational Research Society. 75(1). 145–157. 13 indexed citations

Gyarmati, László, et al.. (2023). The incomplete analytic hierarchy process and Bradley–Terry model: (In)consistency and information retrieval. Expert Systems with Applications. 229. 120522–120522. 3 indexed citations

Csató, Łászló, et al.. (2023). On the coincidence of optimal completions for small pairwise comparison matrices with missing entries. Annals of Operations Research. 333(1). 239–247. 3 indexed citations

10.

Szabó, Zsuzsanna Katalin, et al.. (2021). An Analytic Hierarchy Process Approach for Prioritisation of Strategic Objectives of Sustainable Development. Sustainability. 13(4). 2254–2254. 23 indexed citations

11.

Francis-Oliviero, Florence, et al.. (2021). Research priorities to increase vaccination coverage in Europe (EU joint action on vaccination). Vaccine. 39(44). 6539–6544. 4 indexed citations

12.

Bozóki, Sándor, et al.. (2020). PROPOSALS FOR THE SET OF PAIRWISE COMPARISONS. ISAHP proceedings. 1 indexed citations

13.

Fülöp, János, et al.. (2020). Energy Supply Preferences as Multicriteria Decision Problems: Developing a System of Criteria from Survey Data. Energies. 13(15). 3767–3767. 6 indexed citations

14.

Faramondi, Luca, Gabriele Oliva, & Sándor Bozóki. (2019). Incomplete Analytic Hierarchy Process with Minimum Ordinal Violations. arXiv (Cornell University). 1 indexed citations

15.

Faramondi, Luca, Gabriele Oliva, & Sándor Bozóki. (2019). Incomplete Analytic Hierarchy Process with Minimum Weighted Ordinal Violations. arXiv (Cornell University). 15 indexed citations

16.

Kemény, Zsolt, Sándor Bozóki, Elisabeth Ilie‐Zudor, & László Monostori. (2014). Low-cost Extension of Information Transparency Throughout the Product Life-cycle via Optical Identification and Quality Indication. Procedia CIRP. 25. 106–113. 2 indexed citations

17.

Bozóki, Sándor, János Fülöp, & Waldemar W. Koczkodaj. (2011). An LP-based inconsistency monitoring of pairwise comparison matrices. Mathematical and Computer Modelling. 54(1-2). 789–793. 26 indexed citations

18.

Bozóki, Sándor, János Fülöp, & Waldemar W. Koczkodaj. (2010). LP-based consistency-driven supervision for incomplete pairwise comparison matrices. SZTAKI Publication Repository (Hungarian Academy of Sciences). 1 indexed citations

19.

Bozóki, Sándor, et al.. (2003). Solving the least squares method problem in the AHP for 3x3 and 4x4 matrices. (Working paper of the Laboratory of Operations Research and Decision Systems (LORDS) WP 2003-5.). SZTAKI Publication Repository (Hungarian Academy of Sciences). 2 indexed citations

20.

Bozóki, Sándor, et al.. (1996). Parallel algorithms for MPEG video compression with PVM.. 66(6). 315–326. 7 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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