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.
Deep Learning for Visual Tracking: A Comprehensive Survey
2021256 citationsSeyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan 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 Shohreh Kasaei
Since
Specialization
Citations
This map shows the geographic impact of Shohreh Kasaei'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 Shohreh Kasaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shohreh Kasaei more than expected).
This network shows the impact of papers produced by Shohreh Kasaei. 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 Shohreh Kasaei. The network helps show where Shohreh Kasaei may publish in the future.
Co-authorship network of co-authors of Shohreh Kasaei
This figure shows the co-authorship network connecting the top 25 collaborators of Shohreh Kasaei.
A scholar is included among the top collaborators of Shohreh Kasaei 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 Shohreh Kasaei. Shohreh Kasaei is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Araghi, Ali, et al.. (2011). Error concealment using wide motion vector space for H.264/AVC. Iranian Conference on Electrical Engineering. 1–1.3 indexed citations
10.
Monadjemi, S. Amirhassan, et al.. (2010). Design and Implementation an Autonomous Humanoid Robot Based on Fuzzy Rule-Based Motion Controller. SHILAP Revista de lepidopterología.1 indexed citations
11.
Kasaei, Hamidreza, et al.. (2010). Design of an Action Selection Mechanism for Cooperative Soccer Robots Based on Fuzzy Decision Making Algorithm. SHILAP Revista de lepidopterología.3 indexed citations
12.
Kasaei, Shohreh, et al.. (2009). AN EFFICIENT CONTENT-BASED VIDEO CODING METHOD FOR DISTANCE LEARNING APPLICATIONS. Scientia Iranica. 16(2). 85–103.1 indexed citations
13.
Soleymani, Mohammad & Shohreh Kasaei. (2009). AN FPCA-BASED COLOR MORPHOLOGICAL FILTER FOR NOISE REMOVAL. Scientia Iranica. 16(1). 8–18.2 indexed citations
14.
Kasaei, Shohreh, et al.. (2008). PRINCIPAL COLOR AND ITS APPLICATION TO COLOR IMAGE SEGMENTATION. Scientia Iranica. 15(2). 238–245.5 indexed citations
15.
Mahdavi‐Nasab, Homayoun & Shohreh Kasaei. (2008). NEW HALF-PIXEL ACCURACY MOTION ESTIMATION ALGORITHMS FOR LOW BITRATE VIDEO COMMUNICATIONS. Scientia Iranica. 15(6). 507–516.1 indexed citations
Kasaei, Shohreh, et al.. (2004). New Principle Component Analysis Based Colorizing Method. Iranian Conference on Electrical Engineering.3 indexed citations
18.
Boashash, B., Mohamed Deriche, & Shohreh Kasaei. (2002). A Novel Fingerprint Image Compression Technique using Wavelets Packets and Pyramid Lattice Vector Quantization. Faculty of Built Environment and Engineering.3 indexed citations
19.
Kasaei, Shohreh, Mohamed Deriche, & B. Boashash. (1997). Fingerprint compression using wavelet packet transform and pyramid lattice vector quantization. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(8). 1446–1452.8 indexed citations
20.
Kasaei, Shohreh, Mohamed Deriche, & B. Boashash. (1996). Performance Analysis of Fingerprint Compression Using an Efficient Wavelet Transform Algorithm. Queensland's institutional digital repository (The University of Queensland). 1. 433–436.6 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.