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 review of unsupervised feature learning and deep learning for time-series modeling
2014874 citationsMartin Längkvist, Lars Karlsson et al.profile →
Electronic noses for food quality: A review
2014591 citationsAmy Loutfi, Silvia Coradeschi et al.Journal of Food Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Amy Loutfi'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 Amy Loutfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Loutfi more than expected).
This network shows the impact of papers produced by Amy Loutfi. 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 Amy Loutfi. The network helps show where Amy Loutfi may publish in the future.
Co-authorship network of co-authors of Amy Loutfi
This figure shows the co-authorship network connecting the top 25 collaborators of Amy Loutfi.
A scholar is included among the top collaborators of Amy Loutfi 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 Amy Loutfi. Amy Loutfi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alirezaie, Marjan, Martin Längkvist, Michael Sioutis, & Amy Loutfi. (2018). A Symbolic Approach for Explaining Errors in Image Classification Tasks. International Joint Conference on Artificial Intelligence.5 indexed citations
11.
Alirezaie, Marjan, et al.. (2018). Integrating Ontologies for Context-based Constraint-based Planning. Örebro University Library (Örebro University). 22–29.2 indexed citations
Längkvist, Martin & Amy Loutfi. (2012). Not all signals are created equal : Dynamic objective auto-encoder for multivariate data. KTH Publication Database DiVA (KTH Royal Institute of Technology).2 indexed citations
17.
Ahmed, Mobyen Uddin, et al.. (2012). A case-based patient identification system using pulseoximeter and a personalized health profile. Örebro University Library (Örebro University). 117–128.7 indexed citations
18.
Cortellessa, Gabriella, et al.. (2008). A cross-cultural evaluation of domestic assistive robots. National Conference on Artificial Intelligence. 24–31.21 indexed citations
19.
Cortellessa, Gabriella, Amy Loutfi, & Federico Pecora. (2008). An on-going evaluation of domestic robots. Human-Robot Interaction. 87–91.5 indexed citations
20.
Loutfi, Amy, Silvia Coradeschi, & Alessandro Saffiotti. (2005). Maintaining coherent perceptual information using anchoring. International Joint Conference on Artificial Intelligence. 1477–1482.24 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.