M. Mayorga

464 citations
27 papers · 362 · h-index 10

Impact in

Papers in

M. Mayorga

25 papers receiving 352 citations

Peers

M. Mayorga
Comparison fields: 5 of 66
  • Environmental Chemistry 36
  • Materials Chemistry 166
  • Statistical and Nonlinear Physics 38
  • Building and Construction 38
  • Biomedical Engineering 111
Replace Xianhua Nie with:
Xianhua Nie China
M. Schubnell Switzerland
Shi Yu China
Madhu Prasad India
Joseph B. Miller United States
J. Krawczyk Poland
Jingwen Mo China
Zixu Zhang China
Robert T. Foister United States
Jianpeng Zheng China
M. Mayorga relative to Xianhua Nie China Xianhua Nie's profile →
Citations per field
00.5×4.2×
Xianhua Nie · 1×
Citations per year

Countries citing papers authored by M. Mayorga

Since Specialization
Citations

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

Fields of papers citing papers by M. Mayorga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Mayorga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Mayorga Line = papers co-authored together M. Mayorga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016118
2 201843
3 201539
4 201027
5 200216
6 201215
7 200313
8 202113
9 200913
10 199711
11 20209
12
Information-theoretical analysis of gene expression data to infer transcriptional interactions
20098
13 20096
14 20235
15 19975
16 20154
17 19974
18 19974
19 20153
20 20081

About M. Mayorga

M. Mayorga is a scholar working on Biomedical Engineering, Statistical and Nonlinear Physics, Materials Chemistry, Atmospheric Science and Building and Construction, having authored 27 papers that have together received 362 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (9 papers), Phase Equilibria and Thermodynamics (9 papers), Statistical Mechanics and Entropy (4 papers), Material Dynamics and Properties (3 papers), nanoparticles nucleation surface interactions (3 papers), Recycling and utilization of industrial and municipal waste in materials production (2 papers), Field-Flow Fractionation Techniques (2 papers) and Methane Hydrates and Related Phenomena (2 papers). The work is most often cited by research in Environmental Chemistry (36 citations), Materials Chemistry (166 citations), Statistical and Nonlinear Physics (38 citations), Building and Construction (38 citations) and Biomedical Engineering (111 citations). M. Mayorga has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include Delfino Reyes, Arup Neogi, D.L. Weathers, Juan Carlos Arteaga‐Arcos, Zhiming Wang, Greg Salamo, Miguel Camacho, J. López-Lemus, R. M. Velasco and M.A. Camacho-López. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Molecular Simulation, Construction and Building Materials, Journal of Non-Equilibrium Thermodynamics and Journal of the mechanical behavior of biomedical materials.

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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