Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Human Behavior Analysis by Means of Multimodal Context Mining
2016388 citationsJaehun Bang, Taeho Hur et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Muhammad Bilal Amin
Since
Specialization
Citations
This map shows the geographic impact of Muhammad Bilal Amin'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 Muhammad Bilal Amin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Bilal Amin more than expected).
Fields of papers citing papers by Muhammad Bilal Amin
This network shows the impact of papers produced by Muhammad Bilal Amin. 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 Muhammad Bilal Amin. The network helps show where Muhammad Bilal Amin may publish in the future.
Co-authorship network of co-authors of Muhammad Bilal Amin
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Bilal Amin.
A scholar is included among the top collaborators of Muhammad Bilal Amin based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Muhammad Bilal Amin. Muhammad Bilal Amin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Amin, Muhammad Bilal, et al.. (2018). PENGARUH FILTRASI DENGAN METODE UP FLOW TERHADAP KEKERUHAN, BESI (Fe) DAN DAERAJAT KEASAMAN (pH). 1(1).1 indexed citations
Zirwas, Wolfgang, Muhammad Bilal Amin, & Mikael Sternad. (2016). Coded CSI Reference Signals for 5G - Exploiting Sparsity of FDD Massive MIMO Radio Channels. International ITG Workshop on Smart Antennas. 1–8.6 indexed citations
Amin, Muhammad Bilal, Wajahat Ali Khan, Sungyoung Lee, & Byeong Ho Kang. (2015). Performance-based ontology matching. Applied Intelligence. 43(2). 356–385.9 indexed citations
14.
Amin, Muhammad Bilal, et al.. (2014). The Benefit of Cooperation in the Context of Massive MIMO. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1–8.6 indexed citations
15.
Khan, Wajahat Ali, Muhammad Bilal Amin, Asad Masood Khattak, Maqbool Hussain, & Sungyoung Lee. (2013). System for parallel heterogeneity resolution (SPHeRe) results for OAEI 2013. 184–189.4 indexed citations
16.
Amin, Muhammad Bilal. (2013). Proses Produksi Expanded Perlit Lampung sebagai Material Industri Bata Ringan. 1(1).
Amin, Muhammad Bilal, Wajahat Ali Khan, Sungyoung Lee, & Young-Koo Lee. (2011). Cloud Computing for Healthcare IT Infrastructure. 한국정보과학회 학술발표논문집. 38. 112–115.
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.