Heinz Schimmel

3.3k citations
68 papers · 2.2k indexed · 1 hit paper · h-index 27

Heinz Schimmel

68 papers receiving 2.1k citations

Hit Papers

Defining analytical performance specifications: Consensus...3822015202620182022100200300

Peers

Heinz Schimmel
Comparison fields: 5 of 134
  • Statistics, Probability and Uncertainty 390
  • Physiology 652
  • Statistics and Probability 172
  • Medical Laboratory Technology 27
  • Nephrology 75
Replace Dietmar Stöckl with:
Dietmar Stöckl Belgium
Rainer Haeckel Germany
G. Schumann Germany
Paul Franck Netherlands
Won‐Ki Min South Korea
F.-Javier Gella Spain
Florent Vanstapel Belgium
G Férard France
Wieland Hoelzel Germany
Johanna E Camara United States
Heinz Schimmel relative to Dietmar Stöckl Belgium Dietmar Stöckl's profile →
Citations per field
00.5×3.8×
Dietmar Stöckl · 1×
Citations per year

Countries citing papers authored by Heinz Schimmel

Since Specialization
Citations

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

Fields of papers citing papers by Heinz Schimmel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Heinz Schimmel, 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 Heinz Schimmel Line = papers co-authored together Heinz Schimmel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201726
2 201614
3 20165
4 20167
5 201695
6 201520
7 201520
8 201116
9 201066
10 201010
11 200916
12 20096
13 20084
14 200842
15 200718
16 200415
17 20046
18 200297
19 200279
20 19986

About Heinz Schimmel

Heinz Schimmel is a scholar working on Statistics, Probability and Uncertainty, Food Science and Clinical Biochemistry, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (10 papers), Scientific Measurement and Uncertainty Evaluation (10 papers), Pesticide Residue Analysis and Safety (10 papers), Clinical Laboratory Practices and Quality Control (10 papers), Analytical Chemistry and Chromatography (5 papers), Acute Myocardial Infarction Research (5 papers), Hemodynamic Monitoring and Therapy (5 papers) and Insect Resistance and Genetics (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (390 citations), Physiology (652 citations) and Statistics and Probability (172 citations). Heinz Schimmel has collaborated with scholars based in Belgium, Italy and United Kingdom. Frequent co-authors include Mauro Panteghini, Ingrid Zegers, Reinhard Zeleny, Hendrik Emons, Per Hyltoft Petersen, Andrea R. Horvath, Rob Jansen, Graham Jones, Ken Sikaris and Callum G. Fraser. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Agricultural and Food Chemistry.

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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