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.
Mobile robot path planning using membrane evolutionary artificial potential field
2019321 citationsUlises Orozco-Rosas, Oscar Montiel et al.Applied Soft Computingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Roberto Sepúlveda
Since
Specialization
Citations
This map shows the geographic impact of Roberto Sepúlveda'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 Roberto Sepúlveda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Sepúlveda more than expected).
Fields of papers citing papers by Roberto Sepúlveda
This network shows the impact of papers produced by Roberto Sepúlveda. 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 Roberto Sepúlveda. The network helps show where Roberto Sepúlveda may publish in the future.
Co-authorship network of co-authors of Roberto Sepúlveda
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Sepúlveda.
A scholar is included among the top collaborators of Roberto Sepúlveda 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 Roberto Sepúlveda. Roberto Sepúlveda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sepúlveda, Roberto, et al.. (2011). Perspectivas y proyección profesional de la comunicación social. SHILAP Revista de lepidopterología.6 indexed citations
Montiel, Oscar, et al.. (2008). An ACO Path Planner Using a FIS for Path Selection Adjusted with a Simple Tuning Algorithm. Journal of Automation Mobile Robotics & Intelligent Systems. 5–11.6 indexed citations
10.
Montiel, Oscar, et al.. (2007). Performance of a Simple Tuned Fuzzy Controller and a PID Controller on a DC Motor Application. Nonlinear studies. 14(1). 49–64.7 indexed citations
11.
Montiel, Oscar, Oscar Castillo, Patricia Melín, & Roberto Sepúlveda. (2006). Intelligent Control of Dynamic Population Size for Evolutionary Algorithms.. International Conference on Artificial Intelligence. 551–557.1 indexed citations
12.
Castillo, Oscar, Roberto Sepúlveda, Patricia Melín, & Oscar Montiel. (2006). Evolutionary optimization of interval type-2 membership functions. International Conference on Artificial Intelligence. 558–564.1 indexed citations
13.
Montiel, Oscar, et al.. (2006). Simple Tuning of a Fuzzy Pulse Width Modulation Controller for a DC Motor Application.. International Conference on Artificial Intelligence. 598–606.4 indexed citations
14.
Sepúlveda, Roberto, et al.. (2006). Analyzing the effects of the Footprint of Uncertainty in Type-2 Fuzzy Logic Controllers. Engineering letters. 13. 138–147.28 indexed citations
Montiel, Oscar, Oscar Castillo, Patricia Melín, Antonio Rodríguez-Díaz, & Roberto Sepúlveda. (2004). Evolutionary Non-Linear System Identification.. International Conference on Artificial Intelligence. 84–90.2 indexed citations
19.
Montiel, Oscar, Oscar Castillo, Patricia Melín, & Roberto Sepúlveda. (2004). Asynchronous hybrid architecture for parametric system identification using a fuzzy real coded evolutionary algorithm. Nonlinear studies. 11(1). 79–100.1 indexed citations
20.
Montiel, Oscar, Oscar Castillo, & Roberto Sepúlveda. (2002). Error and Energy Measures in System Identification Using an Evolutionary Algorithm.. International Conference on Artificial Intelligence. 1184–1189.1 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.