Steve Davis

492 citations
16 papers · 312 · h-index 7

Impact in

    • Listeria monocytogenes in Food Safety
  • Food Science top 10%
    • Salmonella and Campylobacter epidemiology
    • Food Safety and Hygiene

Papers in

Steve Davis

15 papers receiving 305 citations

Peers

Steve Davis
Comparison fields: 5 of 70
  • Biotechnology 85
  • Food Science 144
  • Endocrinology 35
  • Molecular Medicine 31
  • Management Information Systems 28
Replace Beatrice Donati with:
Beatrice Donati Italy
Colin Griffith United Kingdom
Wan‐Lin Su United States
Chenhao Jia China
Nathan Jarvis United States
Christopher H. King United States
K.‐H. Waldmann Germany
Yu-Tzu Lin Taiwan
Angela Davies United Kingdom
S.A. Chadd United Kingdom
Steve Davis relative to Beatrice Donati Italy Beatrice Donati's profile →
Citations per field
00.5×9.3×
Beatrice Donati · 1×
Citations per year

Countries citing papers authored by Steve Davis

Since Specialization
Citations

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

Fields of papers citing papers by Steve Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2015206
2 201919
3 200418
4 200716
5
User's manual for HESCOMP, the helicopter sizing and performance computer program
197316
6 200211
7 20087
8 20064
9 20114
10 20163
11 19972
12 20062
13 20192
14
STUDENT ATTITUDES TOWARD WEB-BASED COURSE MANAGEMENT SYSTEM FEATURES
20031
15 20101
16
Introduction to Assembly Language
19840

About Steve Davis

Steve Davis is a scholar working on Management Information Systems, Molecular Biology, Information Systems, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 312 indexed citations. Recurring topics across this work include Quality and Supply Management (3 papers), Genomics and Phylogenetic Studies (3 papers), Online and Blended Learning (2 papers), Bacteriophages and microbial interactions (2 papers), Scheduling and Optimization Algorithms (2 papers), RNA and protein synthesis mechanisms (2 papers), Business Process Modeling and Analysis (2 papers) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Biotechnology (85 citations), Food Science (144 citations), Endocrinology (35 citations), Molecular Medicine (31 citations) and Management Information Systems (28 citations). Steve Davis has collaborated with scholars based in United States, Thailand and Canada. Frequent co-authors include Errol Strain, Hugh Rand, Justin L. Payne, Yan Luo, James Pettengill, J. Wayne Patterson, Anand K. Gramopadhye, Joel S. Greenstein, Sandra Tallent and Ruth Timme. Their work appears in journals such as Information Technology and Management, International Journal of Production Economics, Future Generation Computer Systems, International Journal of Production Research and Journal of Clinical Microbiology.

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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