Steve McKeever

49 papers receiving 374 citations

Peers

Steve McKeever
Comparison fields: 5 of 83
  • Information Systems and Management 57
  • Modeling and Simulation 27
  • Applied Microbiology and Biotechnology 7
  • Biophysics 22
  • Cardiology and Cardiovascular Medicine 66
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Simon Coakley United Kingdom
Fabian Fröhlich Germany
Andrew E. Bruno United States
Zhongxiao Li Saudi Arabia
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Citations per year

Countries citing papers authored by Steve McKeever

Since Specialization
Citations

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

Fields of papers citing papers by Steve McKeever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200893
2 200629
3 200525
4 201023
5 201021
6 197118
7 201416
8 201315
9 200713
10 201811
11 20119
12 20148
13 20078
14 20078
15 20058
16 20156
17
Markup Languages for In Silico Oncology
20106
18 20134
19 20124
20
Object-Oriented Paradigms for Modelling Vascular Tumour Growth: A Case Study
20124

About Steve McKeever

Steve McKeever is a scholar working on Molecular Biology, Information Systems and Management, Computational Theory and Mathematics, Computer Networks and Communications and Artificial Intelligence, having authored 55 papers that have together received 392 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (17 papers), Gene Regulatory Network Analysis (10 papers), Cancer Genomics and Diagnostics (7 papers), Formal Methods in Verification (6 papers), Embedded Systems Design Techniques (6 papers), Bioinformatics and Genomic Networks (6 papers), Distributed and Parallel Computing Systems (6 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Information Systems and Management (57 citations), Modeling and Simulation (27 citations), Applied Microbiology and Biotechnology (7 citations), Biophysics (22 citations) and Cardiology and Cardiovascular Medicine (66 citations). Steve McKeever has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Jonathan Cooper, Alan Garny, David Johnson, Peter Hunter, Rodrigo Weber dos Santos, Andrew K. Miller, Poul M. F. Nielsen, David Nickerson, Peter Scott and Georgios Stamatakos. Their work appears in journals such as Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Software Practice and Experience, Frontiers in Physiology, Journal Of Big Data and Frontiers in Pediatrics.

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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