bibliometrics
Bibliometric analysis based on Google Scholar data.
The following is a bibliometric summary of my research output, based on data from Google Scholar as of February 2026. Bibliometrics provide a quantitative lens on research impact, productivity, and collaboration patterns. While no single metric captures the full picture, together they offer a useful overview of how research has been received and where it has had the most influence.
Key Metrics
146
Publications
7,768
Total Citations
48
H-Index
106
i10-Index
Citations by Publication Year
This chart shows the total citations accumulated by papers published in each year. It highlights which “vintages” of papers have had the most impact so far.
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"2018",
"2019",
"2020",
"2021",
"2022",
"2023",
"2024",
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1007,
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108,
148,
36,
127,
18
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Publications per Year
Research output over time, showing the number of peer-reviewed papers published each year from 2006 to 2025.
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Publication Type Distribution
Breakdown of all 146 publications by type.
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"data": {
"labels": [
"Conference",
"Journal",
"Workshop",
"Book Chapter"
],
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Venue Ranking Distribution
Distribution of the 84 conference papers by CORE conference ranking.
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Top 10 Most-Cited Papers
The ten most-cited publications by total Google Scholar citation count.
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"Optimized IoT service placement in the fog (2017)",
"Extraction of microservices from monolithi... (2017)",
"Patterns in the chaos\u2014a study of performan... (2016)",
"Resource provisioning for IoT services in ... (2016)",
"Monitoring, prediction and prevention of s... (2010)",
"An empirical analysis of the docker contai... (2017)",
"Comparing and combining predictive busines... (2014)",
"A mixed-method empirical study of Function... (2019)",
"Monitoring and analyzing influential facto... (2009)",
"Runtime prediction of service level agreem... (2009)"
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