H.-V. Ulmer

15 papers receiving 436 citations

Peers

H.-V. Ulmer
Comparison fields: 5 of 51
  • Orthopedics and Sports Medicine 263
  • Complementary and alternative medicine 157
  • Rehabilitation 43
  • Physiology 97
  • Applied Psychology 16
Replace Edward C. Chaloupka with:
Edward C. Chaloupka United States
Swapan Mookerjee United States
Wilhelm von Döbeln Sweden
H. J. Green Canada
Karl Weber Germany
Stéphen Blonc Guadeloupe
Anaël Aubry France
Philippe Passelergue France
Nancy N. Thompson United States
Thiago Teixeira Mendes Brazil
H.-V. Ulmer relative to Edward C. Chaloupka United States Edward C. Chaloupka's profile →
Citations per field
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Citations per year

Countries citing papers authored by H.-V. Ulmer

Since Specialization
Citations

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

Fields of papers citing papers by H.-V. Ulmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.-V. Ulmer. 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 H.-V. Ulmer. The network helps show where H.-V. Ulmer may publish in the future.

Co-authors

The 18 scholars most cited alongside H.-V. Ulmer, 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 H.-V. Ulmer Line = papers co-authored together H.-V. Ulmer links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1996298
2 197537
3 198433
4 197725
5
Recommendations and standard guidelines for exercise testing. Report of the Task Force Conference on Ergometry, Titisee 1987.
198820
6 19819
7 19689
8
Reference values for body fat content as a measure for desirable body fat content.
19848
9 19696
10
[Relation between force and force perception as basis for the selection of energetically unfavorable pedaling frequencies in cycling].
19686
11 19743
12 19943
13 19702
14 19711
15 20131
16 19840

About H.-V. Ulmer

H.-V. Ulmer is a scholar working on Orthopedics and Sports Medicine, Physiology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine, having authored 16 papers that have together received 461 indexed citations. Recurring topics across this work include Sports Performance and Training (4 papers), Body Composition Measurement Techniques (2 papers), Cardiovascular and exercise physiology (2 papers), Respiratory Support and Mechanisms (2 papers), Balance, Gait, and Falls Prevention (2 papers), Sport Psychology and Performance (1 paper), Injury Epidemiology and Prevention (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (263 citations), Complementary and alternative medicine (157 citations), Rehabilitation (43 citations), Physiology (97 citations) and Applied Psychology (16 citations). H.-V. Ulmer has collaborated with scholars based in Germany. Frequent co-authors include Gerhild Nieding, Peter Crean, Ruth T. Gross, H. J. Kramer, J�rgen Stegemann, W. Erdmann, Volkmar Schulz, Tanja Fehm, Lena Häberle and W Janni. Their work appears in journals such as European Journal of Applied Physiology, Pflügers Archiv - European Journal of Physiology, International Journal of Sports Medicine, Cellular and Molecular Life Sciences and Lung.

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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