Janet Haas

1.8k total citations
16 papers, 1.2k citations indexed

About

Janet Haas is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Janet Haas has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Critical Care and Intensive Care Medicine and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Janet Haas's work include Nosocomial Infections in ICU (6 papers), Infection Control in Healthcare (5 papers) and Neonatal and Maternal Infections (4 papers). Janet Haas is often cited by papers focused on Nosocomial Infections in ICU (6 papers), Infection Control in Healthcare (5 papers) and Neonatal and Maternal Infections (4 papers). Janet Haas collaborates with scholars based in United States, United Kingdom and South Sudan. Janet Haas's co-authors include Elaine Larson, Lisa Saiman, Phyllis Della‐Latta, Jeannie P. Cimiotti, Suzanne Bakken, Olveen Carrasquillo, Allan J. Formicola, Sally W. Aboelela, Kristine M. Gebbie and Sherry Glied and has published in prestigious journals such as The American Journal of Medicine, The Journal of Pediatrics and Infection Control and Hospital Epidemiology.

In The Last Decade

Janet Haas

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Janet Haas United States	13	290	255	205	178	145	16	1.2k
Sally Stewart United Kingdom	19	90 0.3×	259 1.0×	27 0.1×	122 0.7×	157 1.1×	59	1.2k
R Brady United Kingdom	26	149 0.5×	253 1.0×	31 0.2×	99 0.6×	41 0.3×	71	2.0k
Basema Saddik Saudi Arabia	20	100 0.3×	300 1.2×	21 0.1×	113 0.6×	32 0.2×	67	1.2k
Douglas Johnson Australia	23	193 0.7×	262 1.0×	10 0.0×	250 1.4×	32 0.2×	103	1.7k
Anas Khan Saudi Arabia	21	329 1.1×	445 1.7×	10 0.0×	123 0.7×	62 0.4×	123	1.8k
Sara Kim United States	19	240 0.8×	220 0.9×	19 0.1×	259 1.5×	11 0.1×	68	1.3k
Jean-François Gehanno France	17	119 0.4×	99 0.4×	30 0.1×	165 0.9×	12 0.1×	75	1.2k
Florian Neuhann Germany	20	264 0.9×	316 1.2×	17 0.1×	296 1.7×	22 0.2×	79	1.8k
Karen Bissell France	25	378 1.3×	477 1.9×	13 0.1×	296 1.7×	12 0.1×	73	1.9k
Tinja Lääveri Finland	22	551 1.9×	311 1.2×	38 0.2×	133 0.7×	10 0.1×	71	1.5k

Countries citing papers authored by Janet Haas

Since Specialization

Citations

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

Fields of papers citing papers by Janet Haas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Haas. A scholar is included among the top collaborators of Janet Haas 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 Janet Haas. Janet Haas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Wiemken, Timothy L., Stephen Furmanek, William A. Mattingly, et al.. (2018). Googling your hand hygiene data: Using Google Forms, Google Sheets, and R to collect and automate analysis of hand hygiene compliance monitoring. American Journal of Infection Control. 46(6). 617–619. 18 indexed citations

Kaye, Keith S. & Janet Haas. (2018). Training infection prevention leaders for the present and future: United in patient safety. Infection Control and Hospital Epidemiology. 39(12). 1398–1399. 1 indexed citations

Montecalvo, Marisa A., Donna McKenna, Robert Yarrish, et al.. (2012). Chlorhexidine Bathing to Reduce Central Venous Catheter-associated Bloodstream Infection: Impact and Sustainability. The American Journal of Medicine. 125(5). 505–511. 51 indexed citations

Bartley, Judene M., Russell N. Olmsted, & Janet Haas. (2010). Current views of health care design and construction: Practical implications for safer, cleaner environments. American Journal of Infection Control. 38(5). S1–S12. 67 indexed citations

Aboelela, Sally W., Elaine Larson, Suzanne Bakken, et al.. (2006). Defining Interdisciplinary Research: Conclusions from a Critical Review of the Literature. Health Services Research. 42(1p1). 329–346. 383 indexed citations

Cimiotti, Jeannie P., Janet Haas, Lisa Saiman, & Elaine Larson. (2006). Impact of Staffing on Bloodstream Infections in the Neonatal Intensive Care Unit. Archives of Pediatrics and Adolescent Medicine. 160(8). 832–832. 89 indexed citations

Haas, Janet, et al.. (2005). Extracting information on pneumonia in infants using natural language processing of radiology reports. Journal of Biomedical Informatics. 38(4). 314–321. 88 indexed citations

Haas, Janet, et al.. (2005). Epidemiology and Diagnosis of Hospital-Acquired Conjunctivitis Among Neonatal Intensive Care Unit Patients. The Pediatric Infectious Disease Journal. 24(7). 586–589. 39 indexed citations

Milisavljevic, Vladana, Fann Wu, Janet Haas, et al.. (2005). Genetic relatedness of Staphylococcus epidermidis from infected infants and staff in the neonatal intensive care unit. American Journal of Infection Control. 33(6). 341–347. 45 indexed citations

10.

Larson, Elaine, et al.. (2005). Perspectives on antimicrobial resistance: Establishing an interdisciplinary research approach. American Journal of Infection Control. 33(7). 410–418. 9 indexed citations

11.

Larson, Elaine, Jeannie P. Cimiotti, Janet Haas, et al.. (2005). Gram-negative bacilli associated with catheter-associated and non-catheter-associated bloodstream infections and hand carriage by healthcare workers in neonatal intensive care units. Pediatric Critical Care Medicine. 6(4). 457–461. 50 indexed citations

12.

Feja, Kristina N., Fann Wu, Kevin Roberts, et al.. (2005). Risk Factors for Candidemia in Critically Ill Infants: A Matched Case-control Study. The Journal of Pediatrics. 147(2). 156–161. 110 indexed citations

13.

Larson, Elaine, Jeannie P. Cimiotti, Janet Haas, et al.. (2005). Effect of Antiseptic Handwashing vs Alcohol Sanitizer on Health Care–Associated Infections in Neonatal Intensive Care Units. Archives of Pediatrics and Adolescent Medicine. 159(4). 377–377. 74 indexed citations

14.

Gupta, Archana, Phyllis Della‐Latta, Betsy Todd, et al.. (2004). Outbreak of Extended-Spectrum Beta-Lactamase–ProducingKlebsiella Pneumoniaein a Neonatal Intensive Care Unit Linked to Artificial Nails. Infection Control and Hospital Epidemiology. 25(3). 210–215. 125 indexed citations

15.

Graham, Philip L., et al.. (2004). Validation of a multicenter computer-based surveillance system for hospital-acquired bloodstream infections in neonatal intensive care departments. American Journal of Infection Control. 32(4). 232–234. 26 indexed citations

16.

Mendonça, Eneida A., Janet Haas, Lyudmila Shagina, Elaine Larson, & Carol Friedman. (2003). Extracting information on pneumonia in infants using natural language processing of radiology reports. 13. 81–88. 4 indexed citations

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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