Walter Haas

10.2k citations
183 papers · 4.7k indexed · h-index 36

Impact in

Papers in

Walter Haas

174 papers receiving 4.5k citations

Peers

Walter Haas
Comparison fields: 5 of 165
  • Infectious Diseases 3.0k
  • Modeling and Simulation 471
  • Epidemiology 3.1k
  • Surgery 1.4k
  • Health 191
Replace Emily T. Martin with:
Emily T. Martin United States
Susan A. Maloney United States
Ida M. Onorato United States
Carlos Franco‐Paredes United States
David Baud Switzerland
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Joon Young Song South Korea
Emilia Vynnycky United Kingdom
Bernd Salzberger Germany
Susan S. Chiu Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Walter Haas

Since Specialization
Citations

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

Fields of papers citing papers by Walter Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202416
3 202014
4 20206
5 20197
6 201927
7 201610
8 2010170
9
Pandemieplanung: Was haben wir aus der Pandemie (H1N1) 2009 gelernt?
20100
10 200941
11 20092
12 20079
13 200535
14 20042
15 19986
16
Gesamtkatalog der Tonaufnahmen des Deutschen Spracharchivs
19922
17 1990150
18
Zur Orthoepie der Plosiva in der deutschen Hochsprache : eine auditiv-komparative Untersuchung
19871
19
Sprachwandel und Sprachgeographie : Untersuchungen zur Struktur der Dialektverschiedenheit am Beispiele der schweizerdeutschen Vokalsysteme
19783
20
Some Recent Work on the Reese Hypothesis of South Equatorial Belt Disturbances on Jupiter
19601

About Walter Haas

Walter Haas is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Immunology and Surgery, having authored 183 papers that have together received 4.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (89 papers), Influenza Virus Research Studies (37 papers), Mycobacterium research and diagnosis (37 papers), Diagnosis and treatment of tuberculosis (35 papers), Respiratory viral infections research (32 papers), Pneumocystis jirovecii pneumonia detection and treatment (28 papers), Pneumonia and Respiratory Infections (26 papers) and Immunodeficiency and Autoimmune Disorders (23 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Modeling and Simulation (471 citations), Epidemiology (3.1k citations), Surgery (1.4k citations) and Health (191 citations). Walter Haas has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Silke Buda, Udo Buchholz, Gérard Krause, Jack T. Crawford, Lena Fiebig, Doris Altmann, Bonita Brodhun, Barbara Hauer, Kristin Kremer and Brunhilde Schweiger. Their work appears in journals such as Eurosurveillance, Journal of Clinical Microbiology, PLoS ONE, BMC Infectious Diseases and BMC Public Health.

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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