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.
Water Evaporation Optimization: A novel physically inspired optimization algorithm
2016276 citationsA. Kaveh, Taha BakhshpooriComputers & Structuresprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Taha Bakhshpoori
Since
Specialization
Citations
This map shows the geographic impact of Taha Bakhshpoori'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 Taha Bakhshpoori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taha Bakhshpoori more than expected).
Fields of papers citing papers by Taha Bakhshpoori
This network shows the impact of papers produced by Taha Bakhshpoori. 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 Taha Bakhshpoori. The network helps show where Taha Bakhshpoori may publish in the future.
Co-authorship network of co-authors of Taha Bakhshpoori
This figure shows the co-authorship network connecting the top 25 collaborators of Taha Bakhshpoori.
A scholar is included among the top collaborators of Taha Bakhshpoori 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 Taha Bakhshpoori. Taha Bakhshpoori is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Madhkhan, Morteza, et al.. (2019). OPTIMAL OPERATORS OF GENETIC ALGORITHM IN OPTIMIZING SEGMENTAL PRECAST CONCRETE BRIDGES SUPERSTRUCTURE. Iran University of Science & Technology. 9(4). 651–670.3 indexed citations
7.
Hamze‐Ziabari, Seyed Mahmood, et al.. (2018). ESTIMATING DRYING SHRINKAGE OF CONCRETE USING A MULTIVARIATE ADAPTIVE REGRESSION SPLINES APPROACH. Iran University of Science & Technology. 8(2). 181–194.5 indexed citations
Kaveh, A., Seyed Mahmood Hamze‐Ziabari, & Taha Bakhshpoori. (2018). FEASIBILITY OF PSO-ANFIS-PSO AND GA-ANFIS-GA MODELS IN PREDICTION OF PEAK GROUND ACCELERATION. Iran University of Science & Technology. 8(1). 1–14.7 indexed citations
Kaveh, A. & Taha Bakhshpoori. (2013). OPTIMUM DESIGN OF SPACE TRUSSES USING CUCKOO SEARCH ALGORITHM WITH LEVY FLIGHTS. Iranian Journal of Science and Technology Transactions of Civil Engineering. 37(1). 1–15.26 indexed citations
Kaveh, A., et al.. (2012). AN EFFICIENT OPTIMIZATION PROCEDURE BASED ON CUCKOO SEARCH ALGORITHM FOR PRACTICAL DESIGN OF STEEL STRUCTURES. Iran University of Science & Technology. 2(1). 1–14.31 indexed citations
20.
Kaveh, A., et al.. (2011). AN OPTIMIZATION-BASED COMPARATIVE STUDY OF DOUBLE LAYER GRIDS WITH TWO DIFFERENT CONFIGURATIONS USING CUCKOO SEARCH ALGORITHM. Iran University of Science & Technology. 1(4). 507–520.3 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.