Martin Riara

18 total papers · 532 total citations
15 papers, 431 citations indexed

About

Martin Riara is a scholar working on Civil and Structural Engineering, Polymers and Plastics and Environmental Engineering. According to data from OpenAlex, Martin Riara has authored 15 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 6 papers in Polymers and Plastics and 2 papers in Environmental Engineering. Recurrent topics in Martin Riara's work include Asphalt Pavement Performance Evaluation (12 papers), Infrastructure Maintenance and Monitoring (10 papers) and Polymer Nanocomposites and Properties (4 papers). Martin Riara is often cited by papers focused on Asphalt Pavement Performance Evaluation (12 papers), Infrastructure Maintenance and Monitoring (10 papers) and Polymer Nanocomposites and Properties (4 papers). Martin Riara collaborates with scholars based in China and Kenya. Martin Riara's co-authors include Liantong Mo, Shaopeng Wu, Wei Hong, Ping Tang, Ling Pang, Zhijie Zhao, Serji N. Amirkhanian, Yuanyuan Li, Jiuming Wan and Meizhu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Materials.

In The Last Decade

Martin Riara

13 papers receiving 424 citations

Author Peers

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

Author						Papers	Cites
Martin Riara	364	178	99	44	35	15	431
Dongyu Niu	308 0.8×	118 0.7×	64 0.6×	60 1.4×	32 0.9×	26	400
Rong Lu	356 1.0×	81 0.5×	65 0.7×	52 1.2×	27 0.8×	14	399
Guoqing Sun	388 1.1×	110 0.6×	65 0.7×	21 0.5×	42 1.2×	16	449
Sang Luo	359 1.0×	102 0.6×	55 0.6×	54 1.2×	19 0.5×	15	392
Min-Chih Liao	415 1.1×	106 0.6×	81 0.8×	25 0.6×	24 0.7×	12	430
Man Huang	298 0.8×	110 0.6×	78 0.8×	40 0.9×	38 1.1×	16	467
Xinzhou Li	284 0.8×	84 0.5×	94 0.9×	106 2.4×	49 1.4×	24	435
M. Reza Pouranian	425 1.2×	76 0.4×	51 0.5×	36 0.8×	19 0.5×	15	472
Hend Ali Omar	350 1.0×	86 0.5×	39 0.4×	35 0.8×	20 0.6×	15	393
Feng Wang	416 1.1×	66 0.4×	70 0.7×	46 1.0×	28 0.8×	13	474

Countries citing papers authored by Martin Riara

Since Specialization

Citations

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

Fields of papers citing papers by Martin Riara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Riara

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