Abdullah Sheneamer

539 citations
21 papers · 277 · h-index 10

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Advanced Malware Detection Techniques

Papers in

    • Software Engineering Research 11
    • Web Application Security Vulnerabilities 1
    • Spam and Phishing Detection 1
    • Advanced Malware Detection Techniques 10

Abdullah Sheneamer

18 papers receiving 271 citations

Peers

Abdullah Sheneamer
Comparison fields: 5 of 42
  • Software 124
  • Signal Processing 109
  • Information Systems 206
  • Computer Science Applications 30
  • Computer Networks and Communications 53
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Yida Tao China
Robert Tairas United States
Kisub Kim Singapore
Foyzul Hassan United States
Chenyang Lyu China
Keisuke Hotta Japan
Dhavleesh Rattan India
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Citations per field
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Citations per year

Countries citing papers authored by Abdullah Sheneamer

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Sheneamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Abdullah Sheneamer, 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 Abdullah Sheneamer Line = papers co-authored together Abdullah Sheneamer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 201637
3 201732
4 202331
5 202422
6 202018
7 202114
8 201514
9 201812
10 202111
11 20178
12 20244
13 20254
14 20213
15 20242
16 20232
17 20242
18 20151
19 20240
20 20250

About Abdullah Sheneamer

Abdullah Sheneamer is a scholar working on Information Systems, Signal Processing, Software, Artificial Intelligence and Computer Networks and Communications, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Advanced Malware Detection Techniques (10 papers), Software Reliability and Analysis Research (7 papers), Network Security and Intrusion Detection (4 papers), Brain Tumor Detection and Classification (2 papers), Web Application Security Vulnerabilities (1 paper), Fire Detection and Safety Systems (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Software (124 citations), Signal Processing (109 citations), Information Systems (206 citations), Computer Science Applications (30 citations) and Computer Networks and Communications (53 citations). Abdullah Sheneamer has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include Jugal Kalita, Essa Alhazmi, Swarup Roy, Basem Assiri, C. Kishor Kumar Reddy, Shadab Alam, Mohammed Shuaib, Eshrag Refaee, Afreen Khan and Sultan Basudan. Their work appears in journals such as IEEE Access, PeerJ Computer Science, Expert Systems with Applications, PLoS ONE and Computers in Biology and Medicine.

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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