Mike Grace

421 citations
12 papers · 137 · h-index 4

Impact in

    • Advanced Malware Detection Techniques
    • Cloud Data Security Solutions
    • Digital and Cyber Forensics
    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security

Papers in

Mike Grace

9 papers receiving 122 citations

Peers

Mike Grace
Comparison fields: 5 of 33
  • Signal Processing 85
  • Information Systems 69
  • Artificial Intelligence 97
  • Computer Networks and Communications 54
  • Hardware and Architecture 6
Replace Amit Klein with:
Amit Klein Israel
Benjamin VanderSloot United States
Matthias Vallentin United States
Wayne J. Salamon United States
Anne Tchounikine France
Mario Heiderich Germany
W.R. Shockley United States
Brian M. Bowen United States
Sebastian Meiser Germany
Maciej Zakrzewicz Poland
Mike Grace relative to Amit Klein Israel Amit Klein's profile →
Citations per field
00.5×4.7×
Amit Klein · 1×
Citations per year

Countries citing papers authored by Mike Grace

Since Specialization
Citations

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

Fields of papers citing papers by Mike Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Mike Grace, 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 Mike Grace Line = papers co-authored together Mike Grace links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2010115
2 20016
3 20005
4 20013
5 20043
6 20011
7 20011
8
Detecting capability leaks in Android-based smartphones
20111
9 20041
10 20011
11 20010
12 20040

About Mike Grace

Mike Grace is a scholar working on General Health Professions, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 137 indexed citations. Recurring topics across this work include Dental Education, Practice, Research (7 papers), Advanced Malware Detection Techniques (2 papers), Security and Verification in Computing (2 papers), Healthcare Policy and Management (1 paper), Network Security and Intrusion Detection (1 paper), Diversity and Career in Medicine (1 paper), Health and Medical Research Impacts (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Signal Processing (85 citations), Information Systems (69 citations), Artificial Intelligence (97 citations), Computer Networks and Communications (54 citations) and Hardware and Architecture (6 citations). Mike Grace has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Xuxian Jiang, Sina Bahram, Dongyan Xu, Zhi Wang, Junghwan Rhee, Deepa Srinivasan, Jinku Li, Yajin Zhou and Zhi Wang. Their work appears in journals such as BDJ, Learned Publishing and NCSU Libraries Repository (North Carolina State University Libraries).

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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