Daniel Muniz‐Pumares

633 citations
27 papers · 430 indexed · h-index 11
Topics
Sports Performance and Training (20 papers)Cardiovascular and exercise physiology (20 papers)Muscle metabolism and nutrition (10 papers)

In The Last Decade

Daniel Muniz‐Pumares

26 papers receiving 419 citations

Peers

Daniel Muniz‐Pumares
Comparison fields: 5 of 66
  • Orthopedics and Sports Medicine 234
  • Complementary and alternative medicine 224
  • Cell Biology 113
  • Physiology 81
  • Cardiology and Cardiovascular Medicine 73
Replace Sandro Fernandes da Silva with:
Sandro Fernandes da Silva Brazil
Thomas Swensen United States
Georgios Ermιdis Denmark
Esther Morencos Spain
Maria Augusta P. D. Kiss Brazil
Filip Sabol Australia
Martyn J. Binnie Australia
Ralph N. Carpinelli United States
Tyler Williams United States
Bettina Karsten United Kingdom
Daniel Muniz‐Pumares relative to Sandro Fernandes da Silva Brazil Sandro Fernandes da Silva's profile →
Citations per field
00.5×1.5×2.1×
Sandro Fernandes da Silva · 1×
Citations per year

Countries citing papers authored by Daniel Muniz‐Pumares

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Muniz‐Pumares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Muniz‐Pumares. 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 Daniel Muniz‐Pumares. The network helps show where Daniel Muniz‐Pumares may publish in the future.

Co-authorship network of co-authors of Daniel Muniz‐Pumares

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Muniz‐Pumares. A scholar is included among the top collaborators of Daniel Muniz‐Pumares 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 Daniel Muniz‐Pumares. Daniel Muniz‐Pumares 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 4
2 1
3 3
4 2
5 5
6 6
7 42
8 2
9 7
10 9
11 0
12 23
13
FRACTAL ANALYSES OF GAIT VARIABILITY DURING A MARATHON
2
14 42
15 8
16 67
17 3
18 5
19 22
20 62

About Daniel Muniz‐Pumares

Daniel Muniz‐Pumares is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Cell Biology, having authored 27 papers that have together received 430 indexed citations. Recurring topics across this work include Sports Performance and Training (20 papers), Cardiovascular and exercise physiology (20 papers) and Muscle metabolism and nutrition (10 papers). The work is most often cited by research in Complementary and alternative medicine (224 citations), Orthopedics and Sports Medicine (234 citations) and Rehabilitation (48 citations). Daniel Muniz‐Pumares has collaborated with scholars based in United Kingdom, New Zealand and Spain. Frequent co-authors include Mark Glaister, Lindsay Bottoms, Paul Foley, Barry Smyth, Bettina Karsten, Stephen D. Patterson, J Pattison, David Wellsted, Richard Godfrey and Charles R. Pedlar. Their work appears in journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Sports Medicine.

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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