Daniel Muniz‐Pumares

633 total citations
27 papers, 430 citations indexed

About

Daniel Muniz‐Pumares is a scholar working on Complementary and alternative medicine, Orthopedics and Sports Medicine and Cell Biology. According to data from OpenAlex, Daniel Muniz‐Pumares has authored 27 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Complementary and alternative medicine, 20 papers in Orthopedics and Sports Medicine and 10 papers in Cell Biology. Recurrent topics in Daniel Muniz‐Pumares's work include Sports Performance and Training (20 papers), Cardiovascular and exercise physiology (20 papers) and Muscle metabolism and nutrition (10 papers). Daniel Muniz‐Pumares is often cited by papers focused on Sports Performance and Training (20 papers), Cardiovascular and exercise physiology (20 papers) and Muscle metabolism and nutrition (10 papers). Daniel Muniz‐Pumares collaborates with scholars based in United Kingdom, New Zealand and Ireland. Daniel Muniz‐Pumares's co-authors include Mark Glaister, Lindsay Bottoms, Paul Foley, Barry Smyth, Bettina Karsten, Stephen D. Patterson, J Pattison, David Wellsted, Richard Godfrey and Ed Maunder and has published in prestigious journals such as PLoS ONE, Medicine & Science in Sports & Exercise and Sports Medicine.

In The Last Decade

Daniel Muniz‐Pumares

26 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Muniz‐Pumares United Kingdom 11 234 224 113 81 73 27 430
Maria Augusta P. D. Kiss Brazil 10 312 1.3× 216 1.0× 169 1.5× 69 0.9× 60 0.8× 41 454
Georgios Ermιdis Denmark 14 337 1.4× 204 0.9× 209 1.8× 113 1.4× 45 0.6× 26 589
Fernando G. Beltrami Switzerland 10 125 0.5× 130 0.6× 67 0.6× 49 0.6× 52 0.7× 27 307
Sandro Fernandes da Silva Brazil 11 167 0.7× 199 0.9× 191 1.7× 104 1.3× 47 0.6× 71 496
Tyler Williams United States 9 157 0.7× 121 0.5× 80 0.7× 131 1.6× 42 0.6× 24 454
Martyn J. Binnie Australia 13 311 1.3× 136 0.6× 157 1.4× 97 1.2× 47 0.6× 44 555
Esther Morencos Spain 14 342 1.5× 71 0.3× 124 1.1× 116 1.4× 72 1.0× 37 556
Bettina Karsten United Kingdom 16 482 2.1× 277 1.2× 119 1.1× 77 1.0× 40 0.5× 34 650
Jonatas Ferreira da Silva Santos Brazil 16 612 2.6× 217 1.0× 164 1.5× 147 1.8× 53 0.7× 26 847
Thomas Swensen United States 11 320 1.4× 193 0.9× 79 0.7× 74 0.9× 42 0.6× 16 445

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
1.
Maunder, Ed, et al.. (2025). Durability as an index of endurance exercise performance: Methodological considerations. Experimental Physiology. 110(11). 1612–1624. 4 indexed citations
2.
Muniz‐Pumares, Daniel, et al.. (2025). Critical power: An important tool for exercise prescription and the assessment of physiological function. Experimental Physiology. 110(3). 360–362. 1 indexed citations
3.
Maunder, Ed, et al.. (2024). The Relationship Between the Moderate–Heavy Boundary and Critical Speed in Running. International Journal of Sports Physiology and Performance. 19(9). 963–972. 3 indexed citations
4.
Muniz‐Pumares, Daniel, et al.. (2024). The Training Intensity Distribution of Marathon Runners Across Performance Levels. Sports Medicine. 55(4). 1023–1035. 2 indexed citations
6.
Muniz‐Pumares, Daniel, et al.. (2023). Remote Determination of Critical Speed and Critical Power in Recreational Runners. International Journal of Sports Physiology and Performance. 18(12). 1449–1456. 6 indexed citations
7.
8.
Bottoms, Lindsay, et al.. (2023). Variability in exercise tolerance and physiological responses to exercise prescribed relative to physiological thresholds and to maximum oxygen uptake. Experimental Physiology. 108(4). 581–594. 42 indexed citations
9.
Karsten, Bettina, et al.. (2023). The Application of non-linear methods to quantify changes to movement dynamics during running: A scoping review. Journal of Sports Sciences. 41(5). 481–494. 9 indexed citations
10.
Bottoms, Lindsay, Daniel Muniz‐Pumares, Diego Chaverri, et al.. (2023). Physiological demands and motion analysis of elite foil fencing. PLoS ONE. 18(2). e0281600–e0281600. 7 indexed citations
11.
Smyth, Barry, et al.. (2022). Decoupling of Internal and External Workload During a Marathon: An Analysis of Durability in 82,303 Recreational Runners. Sports Medicine. 52(9). 2283–2295. 23 indexed citations
12.
Dale, Julian, et al.. (2022). The short-term recovery of sprint cycling performance. St Mary's University Repository (St Mary's University Twickenham London). 11(3). 33–46.
13.
Bottoms, Lindsay, et al.. (2021). Biological and methodological factors affecting response variability to endurance training and the influence of exercise intensity prescription. Experimental Physiology. 106(7). 1410–1424. 42 indexed citations
14.
Karsten, Bettina, et al.. (2021). FRACTAL ANALYSES OF GAIT VARIABILITY DURING A MARATHON. University of Hertfordshire Research Archive (University of Hertfordshire). 39(1). 232. 2 indexed citations
15.
Greenhalgh, Andrew, et al.. (2021). A non-linear analysis of running in the heavy and severe intensity domains. European Journal of Applied Physiology. 121(5). 1297–1313. 8 indexed citations
16.
Muniz‐Pumares, Daniel, et al.. (2018). Methodological Approaches and Related Challenges Associated With the Determination of Critical Power and Curvature Constant. The Journal of Strength and Conditioning Research. 33(2). 584–596. 67 indexed citations
17.
Glaister, Mark, et al.. (2018). Caffeine and Sprint Cycling Performance: Effects of Torque Factor and Sprint Duration. International Journal of Sports Physiology and Performance. 14(4). 426–431. 3 indexed citations
18.
Muniz‐Pumares, Daniel, Charles R. Pedlar, Richard Godfrey, & Mark Glaister. (2017). The effect of the oxygen uptake-power output relationship on the prediction of supramaximal oxygen demands. The Journal of Sports Medicine and Physical Fitness. 57(1-2). 1–7. 5 indexed citations
19.
Glaister, Mark, et al.. (2016). The Effects of Caffeine Supplementation on Physiological Responses to Submaximal Exercise in Endurance-Trained Men. PLoS ONE. 11(8). e0161375–e0161375. 22 indexed citations
20.
Glaister, Mark, J Pattison, Daniel Muniz‐Pumares, Stephen D. Patterson, & Paul Foley. (2014). Effects of Dietary Nitrate, Caffeine, and Their Combination on 20-km Cycling Time Trial Performance. The Journal of Strength and Conditioning Research. 29(1). 165–174. 62 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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