John Slankas

443 citations
13 papers · 344 · h-index 9

Impact in

  • Software top 5%
    • Software Reliability and Analysis Research
    • Software Engineering Research
    • Software Engineering Techniques and Practices
    • Information and Cyber Security

Papers in

    • Software Engineering Research 8
    • Web Application Security Vulnerabilities 5
    • Information and Cyber Security 4
    • Software Engineering Techniques and Practices 3
    • Software Reliability and Analysis Research 2

John Slankas

13 papers receiving 331 citations

Peers

John Slankas
Comparison fields: 5 of 30
  • Software 87
  • Information Systems 260
  • Artificial Intelligence 121
  • Signal Processing 37
  • Computer Networks and Communications 59
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Tam The Nguyen United States
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Jiamou Sun Australia
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Muhammad Ilyas Azeem Luxembourg
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Citations per year

Countries citing papers authored by John Slankas

Since Specialization
Citations

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

Fields of papers citing papers by John Slankas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside John Slankas, 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 John Slankas Line = papers co-authored together John Slankas links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2013107
2 201471
3 201442
4 201528
5 201319
6 201619
7 201418
8 201616
9 201312
10
Learning Contextual Embeddings for Knowledge Graph Completion
20175
11 20124
12 20132
13 20131

About John Slankas

John Slankas is a scholar working on Information Systems, Software, Artificial Intelligence, Sociology and Political Science and Management Science and Operations Research, having authored 13 papers that have together received 344 indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Web Application Security Vulnerabilities (5 papers), Access Control and Trust (4 papers), Topic Modeling (4 papers), Information and Cyber Security (4 papers), Software Engineering Techniques and Practices (3 papers), Security and Verification in Computing (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Software (87 citations), Information Systems (260 citations), Artificial Intelligence (121 citations), Signal Processing (37 citations) and Computer Networks and Communications (59 citations). John Slankas has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Laurie Williams, Maria Riaz, Tao Xie, Xusheng Xiao, Justin Smith, Emerson R. Murphy-Hill, Titus Barik, Fabio Massacci, Munindar P. Singh and Jonathan Daniel Stallings. Their work appears in journals such as Journal of the Association for Information Systems, Empirical Software Engineering 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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