Marcos Martinez

621 total citations
9 papers, 517 citations indexed

About

Marcos Martinez is a scholar working on Mechanical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Marcos Martinez has authored 9 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 7 papers in Materials Chemistry and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Marcos Martinez's work include Membrane Separation and Gas Transport (9 papers), Graphene research and applications (7 papers) and Membrane Separation Technologies (3 papers). Marcos Martinez is often cited by papers focused on Membrane Separation and Gas Transport (9 papers), Graphene research and applications (7 papers) and Membrane Separation Technologies (3 papers). Marcos Martinez collaborates with scholars based in United States and India. Marcos Martinez's co-authors include Mark Brayden, William J. Koros, Liren Xu, Meha Rungta, Wulin Qiu, Junqiang Liu, David F. Yancey, Justin T. Vaughn, Yujun Liu and Graham B. Wenz and has published in prestigious journals such as Angewandte Chemie International Edition, Carbon and Journal of Membrane Science.

In The Last Decade

Marcos Martinez

9 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcos Martinez United States	9	472	298	184	128	100	9	517
Mark Brayden United States	8	447 0.9×	281 0.9×	176 1.0×	123 1.0×	95 0.9×	9	492
Shilu Fu United States	8	575 1.2×	355 1.2×	243 1.3×	133 1.0×	62 0.6×	8	596
Khalid Hazazi Saudi Arabia	6	336 0.7×	264 0.9×	134 0.7×	98 0.8×	64 0.6×	11	411
Justin T. Vaughn United States	10	548 1.2×	277 0.9×	208 1.1×	102 0.8×	133 1.3×	10	598
V. W. Gustov Russia	7	402 0.9×	233 0.8×	120 0.7×	75 0.6×	156 1.6×	18	475
Octavio Salinas Saudi Arabia	7	648 1.4×	486 1.6×	200 1.1×	159 1.2×	109 1.1×	7	699
Dongzhu Wu United States	12	532 1.1×	144 0.5×	220 1.2×	133 1.0×	59 0.6×	12	586
Masatake Yamamoto Japan	6	512 1.1×	365 1.2×	106 0.6×	116 0.9×	82 0.8×	6	539
Shouhong Fan United States	11	269 0.6×	142 0.5×	114 0.6×	104 0.8×	46 0.5×	21	370
Xingwei Yu China	5	340 0.7×	168 0.6×	210 1.1×	99 0.8×	53 0.5×	8	414

Countries citing papers authored by Marcos Martinez

Since Specialization

Citations

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

Fields of papers citing papers by Marcos Martinez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Martinez

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Arab, Pezhman, Zhongyun Liu, Wulin Qiu, et al.. (2021). Subtle penetrant size effects on separation of carbon molecular sieve membranes derived from 6FDA:BPDA-DAM polyimide. Carbon. 184. 214–222. 26 indexed citations

2.

Qiu, Wulin, Liren Xu, Zhongyun Liu, et al.. (2020). Surprising olefin/paraffin separation performance recovery of highly aged carbon molecular sieve hollow fiber membranes by a super-hyperaging treatment. Journal of Membrane Science. 620. 118701–118701. 33 indexed citations

3.

Liu, Junqiang, Greg Meyers, Clifford S. Todd, et al.. (2020). Self-standing permselective CMS membrane from melt extruded PVDC. Journal of Membrane Science. 615. 118554–118554. 11 indexed citations

4.

Qiu, Wulin, Justin T. Vaughn, Gongping Liu, et al.. (2019). Hyperaging Tuning of a Carbon Molecular‐Sieve Hollow Fiber Membrane with Extraordinary Gas‐Separation Performance and Stability. Angewandte Chemie. 131(34). 11826–11829. 10 indexed citations

5.

Qiu, Wulin, Justin T. Vaughn, Gongping Liu, et al.. (2019). Hyperaging Tuning of a Carbon Molecular‐Sieve Hollow Fiber Membrane with Extraordinary Gas‐Separation Performance and Stability. Angewandte Chemie International Edition. 58(34). 11700–11703. 77 indexed citations

6.

Yancey, David F., et al.. (2017). Iron-containing carbon molecular sieve membranes for advanced olefin/paraffin separations. Journal of Membrane Science. 548. 609–620. 74 indexed citations

7.

Liu, Junqiang, et al.. (2014). A new carbon molecular sieve for propylene/propane separations. Carbon. 85. 201–211. 59 indexed citations

8.

Xu, Liren, Meha Rungta, Wulin Qiu, et al.. (2014). Physical aging in carbon molecular sieve membranes. Carbon. 80. 155–166. 115 indexed citations

9.

Xu, Liren, et al.. (2012). Olefins-selective asymmetric carbon molecular sieve hollow fiber membranes for hybrid membrane-distillation processes for olefin/paraffin separations. Journal of Membrane Science. 423-424. 314–323. 112 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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