Manuel Mota

576 citations
47 papers · 337 indexed · h-index 11
Topics
Stochastic processes and statistical mechanics (35 papers)Bayesian Methods and Mixture Models (18 papers)Mathematical and Theoretical Epidemiology and Ecology Models (9 papers)

In The Last Decade

Manuel Mota

37 papers receiving 330 citations

Peers

Manuel Mota
Comparison fields: 5 of 63
  • Mathematical Physics 185
  • Artificial Intelligence 75
  • Statistics and Probability 74
  • Physiology 63
  • Public Health, Environmental and Occupational Health 57
Replace Paulo Eduardo Oliveira with:
Paulo Eduardo Oliveira Portugal
R. Wette United States
I. del Puerto Spain
Peisong Han United States
Jean Bérard France
Daniele Durante Italy
Jessica Phillips Australia
David Sherry United States
Dale Bowman United States
Manuel Mota relative to Paulo Eduardo Oliveira Portugal Paulo Eduardo Oliveira's profile →
Citations per field
00.5×
Paulo Eduardo Oliveira · 1×
Citations per year

Countries citing papers authored by Manuel Mota

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Mota

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 2
6 1
7 1
8 24
9 8
10 5
11 9
12 0
13 1
14 61
15 10
16 3
17 5
18 1
19 12
20 6

About Manuel Mota

Manuel Mota is a scholar working on Mathematical Physics, Statistics and Probability and Management Science and Operations Research, having authored 47 papers that have together received 337 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (35 papers), Bayesian Methods and Mixture Models (18 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (9 papers). The work is most often cited by research in Mathematical Physics (185 citations), Statistics and Probability (74 citations) and Endocrine and Autonomic Systems (40 citations). Manuel Mota has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Manuel Molina, Miguel González, Rodrigo Martínez, Juan F. Masa, Josep M. Montserrat, Manuela Rubio, Julio Sánchez de Cos, Dos Santos, Myriam Calle Rubio and Jaime Corral. Their work appears in journals such as European Respiratory Journal, SLEEP and Journal of Theoretical Biology.

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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