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.
A detailed analysis of the KDD CUP 99 data set
20093.1k citationsEbrahim Bagheri, Ali A. Ghorbani 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 Ebrahim Bagheri
Since
Specialization
Citations
This map shows the geographic impact of Ebrahim Bagheri'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 Ebrahim Bagheri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ebrahim Bagheri more than expected).
This network shows the impact of papers produced by Ebrahim Bagheri. 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 Ebrahim Bagheri. The network helps show where Ebrahim Bagheri may publish in the future.
Co-authorship network of co-authors of Ebrahim Bagheri
This figure shows the co-authorship network connecting the top 25 collaborators of Ebrahim Bagheri.
A scholar is included among the top collaborators of Ebrahim Bagheri 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 Ebrahim Bagheri. Ebrahim Bagheri is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ensan, Faezeh, et al.. (2016). Query Expansion Using Pseudo Relevance Feedback on Wikipedia.1 indexed citations
11.
Bagheri, Ebrahim, et al.. (2014). From Intentions to Decisions: Understanding Stakeholders' Objectives in Software Product Line Configuration.. Software Engineering and Knowledge Engineering. 671–677.3 indexed citations
12.
Bagheri, Ebrahim, et al.. (2014). Derive: finding semantic concepts with property-values from natural language text. 331–334.1 indexed citations
13.
Kahani, Mohsen, et al.. (2014). Mining common morphological fragments from process event logs. 179–191.4 indexed citations
Bagheri, Ebrahim, et al.. (2012). Non-functional Properties in Software Product Lines: A Taxonomy for Classification.. Software Engineering and Knowledge Engineering. 663–667.11 indexed citations
16.
Bagheri, Ebrahim, et al.. (2011). Bringing semantics to feature models with SAFMDL. Conference of the Centre for Advanced Studies on Collaborative Research. 287–300.4 indexed citations
17.
Bagheri, Ebrahim, et al.. (2011). Machine Learning-based Software Testing: Towards a Classification Framework.. Software Engineering and Knowledge Engineering. 225–229.14 indexed citations
18.
Bagheri, Ebrahim, et al.. (2011). Feature Model Debugging based on Description Logic Reasoning.. 158–164.19 indexed citations
19.
Bagheri, Ebrahim, Faezeh Ensan, Dragan Gašević, & Marko Bošković. (2011). Modular feature models: Representation and configuration.5 indexed citations
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.