H. G. Müller
- Social Psychology top 0.5%
- Clinical Psychology top 1%
- Sociology and Political Science top 1%
- Education top 0.5%
- Experimental and Cognitive Psychology top 1%
- Co-authors
- Karin Schermelleh-EngelHelfried MoosbruggerG. TobinGeorge A. KaysenJoel A. DubinNathan W. LevinLaura RosalesOgugua C. Aworh
- Topics
- Food composition and properties (8 papers)Rheology and Fluid Dynamics Studies (6 papers)Advanced Chemical Physics Studies (5 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
H. G. Müller
64 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 228
- Social Psychology 1.7k
- Clinical Psychology 1.6k
- Sociology and Political Science 1.3k
- Education 1.3k
- Experimental and Cognitive Psychology 966
Countries citing papers authored by H. G. Müller
This map shows the geographic impact of H. G. Müller'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. G. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. G. Müller more than expected).
Fields of papers citing papers by H. G. Müller
This network shows the impact of papers produced by H. G. Müller. 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. G. Müller. The network helps show where H. G. Müller may publish in the future.
Co-authorship network of co-authors of H. G. Müller
This figure shows the co-authorship network connecting the top 25 collaborators of H. G. Müller. A scholar is included among the top collaborators of H. G. Müller 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 H. G. Müller. H. G. Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measuresbreakdown → | 7129 |
| 5 | 30 | |
| 6 | 180 | |
| 7 | 16 | |
| 8 | 27 | |
| 9 | 16 | |
| 10 | 10 | |
| 11 | 8 | |
| 12 | Redescription of Gnathia johanna Monod, 1926 (Isopoda) from St. John, Virgin Islands | 2 |
| 13 | An introduction to tropical food science. | 21 |
| 14 | 10 | |
| 15 | 6 | |
| 16 | Nutrition and food processing | 144 |
| 17 | An introduction to food rheology. | 41 |
| 18 | 8 | |
| 19 | 12 | |
| 20 | 4 |
About H. G. Müller
H. G. Müller is a scholar working on Fluid Flow and Transfer Processes, Aging and Nutrition and Dietetics, having authored 67 papers that have together received 9.7k indexed citations. Recurring topics across this work include Food composition and properties (8 papers), Rheology and Fluid Dynamics Studies (6 papers) and Advanced Chemical Physics Studies (5 papers). The work is most often cited by research in Applied Psychology (458 citations), Social Psychology (1.7k citations) and Clinical Psychology (1.6k citations). H. G. Müller has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Karin Schermelleh-Engel, Helfried Moosbrugger, G. Tobin, George A. Kaysen, Joel A. Dubin, Nathan W. Levin, Laura Rosales, Ogugua C. Aworh, James R. Carey and Pablo Liedo. Their work appears in journals such as Nature, Journal of the American Chemical Society and The Journal of Chemical Physics.
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.