Keith E. Willard

660 total citations
17 papers, 542 citations indexed

About

Keith E. Willard is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Keith E. Willard has authored 17 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Epidemiology and 4 papers in Molecular Medicine. Recurrent topics in Keith E. Willard's work include Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Keith E. Willard is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Keith E. Willard collaborates with scholars based in United States. Keith E. Willard's co-authors include Gregory C. Critchfield, Donald P. Connelly, Carol J. Shanholtzer, K M Bettin, Connie Clabots, Lance R. Peterson, Dale N. Gerding, Dale N. Gerding, Edward N. Janoff and Claudine E. Fasching and has published in prestigious journals such as The American Journal of Medicine, Statistics in Medicine and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Keith E. Willard

17 papers receiving 505 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith E. Willard United States	11	176	147	91	49	48	17	542
Anthony Morton Australia	14	131 0.7×	120 0.8×	78 0.9×	49 1.0×	147 3.1×	46	754
David Birnbaum Canada	10	103 0.6×	74 0.5×	41 0.5×	54 1.1×	83 1.7×	71	441
Sina Bärwolff Germany	9	160 0.9×	171 1.2×	41 0.5×	75 1.5×	9 0.2×	12	559
Richard H. Shachtman United States	10	110 0.6×	277 1.9×	51 0.6×	44 0.9×	13 0.3×	23	714
Gabrielle Fowler United States	6	197 1.1×	268 1.8×	42 0.5×	55 1.1×	9 0.2×	8	715
Candace C. Fuller United States	15	143 0.8×	114 0.8×	53 0.6×	138 2.8×	8 0.2×	38	673
Eugene Litvak United States	15	219 1.2×	146 1.0×	433 4.8×	41 0.8×	24 0.5×	24	1.3k
George N. Okoli Canada	13	119 0.7×	398 2.7×	126 1.4×	47 1.0×	14 0.3×	47	1.2k
Katherine E Goodman United States	17	171 1.0×	289 2.0×	31 0.3×	82 1.7×	13 0.3×	50	1.3k
Valerie Ng United States	13	68 0.4×	84 0.6×	41 0.5×	54 1.1×	122 2.5×	40	718

Countries citing papers authored by Keith E. Willard

Since Specialization

Citations

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

Fields of papers citing papers by Keith E. Willard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith E. Willard. 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 Keith E. Willard. The network helps show where Keith E. Willard may publish in the future.

Co-authorship network of co-authors of Keith E. Willard

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

All Works

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17 of 17 papers shown

Janoff, Edward N., et al.. (1998). Ambiguity in the Identification ofStreptococcus pneumoniae Optochin, Bile Solubility, Quellung, and the AccuProbe DNA Probe Tests. American Journal of Clinical Pathology. 109(1). 55–61. 39 indexed citations

Connelly, Donald P., Bruce H. Sielaff, & Keith E. Willard. (1996). The clinical workstation as a means of improving laboratory use. Clinica Chimica Acta. 248(1). 51–64. 7 indexed citations

Willard, Keith E., et al.. (1996). Radical improvements in the display of clinical microbiology results: A web-based clinical information system. The American Journal of Medicine. 101(5). 541–549. 16 indexed citations

Shanholtzer, Carol J., et al.. (1995). Laboratory Detection ofClostridium difficile:A Comparison of Media and Incubation Systems. American Journal of Clinical Pathology. 103(1). 52–56. 38 indexed citations

Bettin, K M, et al.. (1994). Effectiveness of Liquid Soap vs. Chlorhexidine Gluconate for the Removal of Clostridium difficile from Bare Hands and Gloved Hands. Infection Control and Hospital Epidemiology. 15(11). 697–702. 68 indexed citations

Willard, Keith E., et al.. (1994). Activity of Twenty-One Antimicrobial Agents Including /-Ofloxacin against Quinolone-Sensitive and -Resistant, and Methicillin-Sensitive and -Resistant <i>Staphylococcus aureus</i>. Chemotherapy. 40(1). 21–25. 8 indexed citations

Altmann, Michael, et al.. (1994). Network analytic methods for epidemiological risk assessment. Statistics in Medicine. 13(1). 53–60. 17 indexed citations

Bettin, K M, et al.. (1994). Effectiveness of Liquid Soap vs. Chlorhexidine Gluconate for the Removal of Clostridium Difficile from Bare Hands and Gloved Hands. Infection Control and Hospital Epidemiology. 15(11). 697–702. 39 indexed citations

Peterson, Lance R., et al.. (1993). GyrA sequence analysis of Staphylococcus aureus and methicillin-resistant S. aureus strains selected, in vitro, for high-level ciprofloxacin resistance. Diagnostic Microbiology and Infectious Disease. 17(2). 97–101. 8 indexed citations

10.

Goswitz, Joseph J., Keith E. Willard, Carol J. Shanholtzer, et al.. (1993). Utility of Slide Centrifuge Gram’s Stain Versus Quantitative Culture for Diagnosis of Urinary Tract Infection. American Journal of Clinical Pathology. 99(2). 132–136. 13 indexed citations

11.

Willard, Keith E., Julia Moody, & Lance R. Peterson. (1991). A general ampC active site oligonucleotide probe for Gram-negative rods. Molecular and Cellular Probes. 5(2). 97–102. 2 indexed citations

12.

Fasching, Claudine E., et al.. (1991). Uptake of ³H-norfloxacin in methicillin-resistant Staphylococcus aureus. Journal of Antimicrobial Chemotherapy. 28(4). 491–497. 6 indexed citations

13.

Shanholtzer, Carol J., et al.. (1991). An Evaluation of Three Commercial Fecal Transport Systems for the Recovery of Enteric Pathogens. American Journal of Clinical Pathology. 96(3). 364–367. 3 indexed citations

14.

Shanholtzer, Carol J., et al.. (1991). The Slide Centrifuge Gram Stain as a Urine Screening Method. American Journal of Clinical Pathology. 96(4). 454–458. 14 indexed citations

15.

Critchfield, Gregory C. & Keith E. Willard. (1986). Probabilistic Analysis of Decision Trees Using Monte Carlo Simulation. Medical Decision Making. 6(2). 85–92. 168 indexed citations

16.

Critchfield, Gregory C., Keith E. Willard, & Donald P. Connelly. (1986). Probabilistic sensitivity analysis methods for general decision models. Computers and Biomedical Research. 19(3). 254–265. 72 indexed citations

17.

Willard, Keith E. & Gregory C. Critchfield. (1986). Probabilistic Analysis of Decision Trees Using Symbolic Algebra. Medical Decision Making. 6(2). 93–100. 24 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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