A. M. Mármol

643 total citations
47 papers, 450 citations indexed

About

A. M. Mármol is a scholar working on Management Science and Operations Research, Economics and Econometrics and Control and Systems Engineering. According to data from OpenAlex, A. M. Mármol has authored 47 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Management Science and Operations Research, 30 papers in Economics and Econometrics and 7 papers in Control and Systems Engineering. Recurrent topics in A. M. Mármol's work include Game Theory and Voting Systems (20 papers), Multi-Criteria Decision Making (17 papers) and Auction Theory and Applications (13 papers). A. M. Mármol is often cited by papers focused on Game Theory and Voting Systems (20 papers), Multi-Criteria Decision Making (17 papers) and Auction Theory and Applications (13 papers). A. M. Mármol collaborates with scholars based in Spain, United Kingdom and Norway. A. M. Mármol's co-authors include M. Á. Hinojosa, Justo Puerto, F.R. Fernández, Sebastián Lozano, M. Ángeles Caraballo, Ignacio Contreras, Lyn C. Thomas, Clara Ponsatı́, José M. Zarzuelo and Sergi Abadal and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Neural Networks.

In The Last Decade

A. M. Mármol

45 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. M. Mármol Spain	12	344	191	101	66	48	47	450
Pekka Mild Finland	6	298 0.9×	71 0.4×	77 0.8×	56 0.8×	51 1.1×	7	477
Csaba I. Fábián Hungary	10	297 0.9×	80 0.4×	92 0.9×	53 0.8×	24 0.5×	22	401
János Mayer Switzerland	10	260 0.8×	92 0.5×	145 1.4×	34 0.5×	32 0.7×	26	461
M. Á. Hinojosa Spain	11	236 0.7×	152 0.8×	47 0.5×	33 0.5×	40 0.8×	32	305
Jing‐Rung Yu Taiwan	11	278 0.8×	101 0.5×	55 0.5×	31 0.5×	40 0.8×	25	413
Marida Bertocchi Italy	12	191 0.6×	106 0.6×	80 0.8×	36 0.5×	32 0.7×	39	431
János Fülöp Hungary	10	263 0.8×	66 0.3×	82 0.8×	90 1.4×	12 0.3×	36	425
Rashed Khanjani Shiraz Iran	12	344 1.0×	72 0.4×	187 1.9×	34 0.5×	26 0.5×	28	403
Juan Carlos Leyva López Mexico	10	309 0.9×	36 0.2×	79 0.8×	73 1.1×	37 0.8×	46	456
Martin Branda Czechia	12	262 0.8×	99 0.5×	80 0.8×	40 0.6×	12 0.3×	28	367

Countries citing papers authored by A. M. Mármol

Since Specialization

Citations

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

Fields of papers citing papers by A. M. Mármol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. M. Mármol. 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 A. M. Mármol. The network helps show where A. M. Mármol may publish in the future.

Co-authorship network of co-authors of A. M. Mármol

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

Abadal, Sergi, A. M. Mármol, Nadia Mammone, et al.. (2024). Graph neural networks for electroencephalogram analysis: Alzheimer’s disease and epilepsy use cases. Neural Networks. 181. 106792–106792. 11 indexed citations

Mármol, A. M., et al.. (2024). Utilitarian and Rawlsian preferences in vector bimatrix games. 10(1). 23–46.

Mármol, A. M., et al.. (2024). Dual Control Strategy for Non-Minimum Phase Behavior Mitigation in DC-DC Boost Converters Using Finite Control Set Model Predictive Control and Proportional–Integral Controllers. Applied Sciences. 14(22). 10318–10318. 3 indexed citations

Mármol, A. M., et al.. (2018). A Maxmin Approach for the Equilibria of Vector-Valued Games. Group Decision and Negotiation. 28(2). 415–432. 8 indexed citations

Mármol, A. M., et al.. (2017). Equilibria with vector-valued utilities and preference information. The analysis of a mixed duopoly. Theory and Decision. 83(3). 365–383. 13 indexed citations

Caraballo, M. Ángeles, et al.. (2015). Cournot competition under uncertainty: conservative and optimistic equilibria. Review of Economic Design. 19(2). 145–165. 8 indexed citations

Hinojosa, M. Á. & A. M. Mármol. (2014). Multi-commodity rationing problems with maxmin payoffs. Mathematical Methods of Operations Research. 79(3). 353–370. 1 indexed citations

Hinojosa, M. Á., et al.. (2013). A MULTI-OBJECTIVE APPROACH TO FUZZY LINEAR PRODUCTION GAMES. International Journal of Information Technology & Decision Making. 12(5). 927–943. 4 indexed citations

Hinojosa, M. Á. & A. M. Mármol. (2010). Axial solutions for multiple objective linear problems. An application to target setting in DEA models with preferences. Omega. 39(2). 159–167. 20 indexed citations

10.

Hinojosa, M. Á., et al.. (2010). A consistent talmudic rule for division problems with multiple references. Top. 20(3). 661–678. 5 indexed citations

11.

Mármol, A. M., et al.. (2009). A BARGAINING MODEL FOR FINITE N-PERSON MULTI-CRITERIA GAMES. International Game Theory Review. 11(2). 121–139. 1 indexed citations

12.

Fernández, F.R., M. Á. Hinojosa, A. M. Mármol, & Justo Puerto. (2008). Opportune moment strategies for a cost spanning tree game. Mathematical Methods of Operations Research. 70(3). 451–463. 1 indexed citations

13.

Contreras, Ignacio & A. M. Mármol. (2006). A lexicographical compromise method for multiple criteria group decision problems with imprecise information. European Journal of Operational Research. 181(3). 1530–1539. 18 indexed citations

14.

Mármol, A. M., et al.. (2005). An equitable solution for multicriteria bargaining games. European Journal of Operational Research. 177(3). 1523–1534. 10 indexed citations

15.

Hinojosa, M. Á., A. M. Mármol, & Lyn C. Thomas. (2004). A multi‐objective model for bank ATM networks. Naval Research Logistics (NRL). 52(2). 165–177. 3 indexed citations

16.

Hinojosa, M. Á., A. M. Mármol, & Lyn C. Thomas. (2004). Core, least core and nucleolus for multiple scenario cooperative games. European Journal of Operational Research. 164(1). 225–238. 8 indexed citations

17.

Mármol, A. M., Justo Puerto, & F.R. Fernández. (2002). Sequential incorporation of imprecise information in multiple criteria decision processes. European Journal of Operational Research. 137(1). 123–133. 48 indexed citations

18.

Puerto, Justo, et al.. (2000). Decision criteria with partial information. International Transactions in Operational Research. 7(1). 51–65. 29 indexed citations

19.

Mármol, A. M., Justo Puerto, & F.R. Fernández. (1998). The use of partial information on weights in multicriteria decision problems. Journal of Multi-Criteria Decision Analysis. 7(6). 322–329. 47 indexed citations

20.

Mármol, A. M., et al.. (1997). The tolerance approach in multiobjective linear fractional programming. Top. 5(2). 241–252. 3 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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