Walter Bich

782 citations
41 papers · 609 · h-index 12

Impact in

Papers in

Walter Bich

39 papers receiving 529 citations

Peers

Walter Bich
Comparison fields: 5 of 88
  • Statistics, Probability and Uncertainty 407
  • Radiation 83
  • Computer Networks and Communications 128
  • Statistics and Probability 41
  • Biomedical Engineering 135
Replace Wolfgang Wöger with:
Wolfgang Wöger Germany
Ignacio H Lira Chile
M G Cox United Kingdom
Keith R. Eberhardt United States
Olha Bodnar Germany
Nicolas Fischer France
Jeffery David Lewins United Kingdom
Dov Ingman Israel
Mihaela Ionescu‐Bujor Germany
Paul L. O'Leary Austria
Walter Bich relative to Wolfgang Wöger Germany Wolfgang Wöger's profile →
Citations per field
00.5×2×4×6×8×
Wolfgang Wöger · 1×
Citations per year

Countries citing papers authored by Walter Bich

Since Specialization
Citations

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

Fields of papers citing papers by Walter Bich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Walter Bich, 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 Walter Bich Line = papers co-authored together Walter Bich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006113
2 2012105
3 201453
4 201652
5 201236
6 200827
7 199027
8 199421
9 200617
10 200916
11 200414
12 200812
13 199211
14 201610
15 20039
16 20098
17 20128
18 20048
19
CALIBRATION OF IMPEDANCES BY THE SUBSTITUTION METHOD: NUMERICAL UNCERTAINTY EVALUATION
20017
20 19966

About Walter Bich

Walter Bich is a scholar working on Statistics, Probability and Uncertainty, Radiation, Applied Mathematics, Oceanography and Computer Networks and Communications, having authored 41 papers that have together received 609 indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (31 papers), Radioactive Decay and Measurement Techniques (12 papers), Sensor Technology and Measurement Systems (7 papers), Advanced Sensor Technologies Research (7 papers), Advanced Electrical Measurement Techniques (5 papers), Statistical and numerical algorithms (5 papers), Geophysics and Gravity Measurements (5 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (407 citations), Radiation (83 citations), Computer Networks and Communications (128 citations), Statistics and Probability (41 citations) and Biomedical Engineering (135 citations). Walter Bich has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include M G Cox, P M Harris, Carine Michotte, Francesca Romana Pennecchi, Luca Callegaro, Franco Cabiati, Wolfgang Wöger, René Dybkær, Lars Nielsen and Leslie Pendrill. Their work appears in journals such as Metrologia, Accreditation and Quality Assurance, Measurement, ISA Transactions and Physical Review A.

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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