Elmer P. Dadios

6.4k total citations
509 papers, 4.5k citations indexed

About

Elmer P. Dadios is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Artificial Intelligence. According to data from OpenAlex, Elmer P. Dadios has authored 509 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Computer Vision and Pattern Recognition, 99 papers in Plant Science and 78 papers in Artificial Intelligence. Recurrent topics in Elmer P. Dadios's work include Smart Agriculture and AI (75 papers), Water Quality Monitoring Technologies (60 papers) and Video Surveillance and Tracking Methods (40 papers). Elmer P. Dadios is often cited by papers focused on Smart Agriculture and AI (75 papers), Water Quality Monitoring Technologies (60 papers) and Video Surveillance and Tracking Methods (40 papers). Elmer P. Dadios collaborates with scholars based in Philippines, United States and United Kingdom. Elmer P. Dadios's co-authors include Argel A. Bandala, Ronnie Concepcion, Ryan Rhay P. Vicerra, Edwin Sybingco, Jonnel Alejandrino, Sandy Lauguico, Robert Kerwin C. Billones, Rhen Anjerome Bedruz, Robert G. de Luna and Rogelio Ruzcko Tobias and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Elmer P. Dadios

458 papers receiving 4.1k citations

Peers

Elmer P. Dadios
Comparison fields: 5 of 170
  • Plant Science 1.2k
  • Computer Vision and Pattern Recognition 1.1k
  • Electrical and Electronic Engineering 565
  • Water Science and Technology 501
  • Artificial Intelligence 500
Replace Argel A. Bandala with:
Argel A. Bandala Philippines
Tao Lin China
Ryan Rhay P. Vicerra Philippines
Panagiotis Sarigiannidis Greece
Sachi Nandan Mohanty India
Xiaohui Yuan United States
Weikuan Jia China
José Luís Guzmán Spain
Hafiz Tayyab Rauf United Kingdom
Sandra Sendra Spain
Argel A. Bandala Philippines View profile →
Citations per field, relative to Elmer P. Dadios
Elmer P. Dadios · 1×
Citations per year, relative to Elmer P. Dadios
Elmer P. Dadios · 1×

Countries citing papers authored by Elmer P. Dadios

Since Specialization
Citations

This map shows the geographic impact of Elmer P. Dadios'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 Elmer P. Dadios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elmer P. Dadios more than expected).

Fields of papers citing papers by Elmer P. Dadios

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elmer P. Dadios. 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 Elmer P. Dadios. The network helps show where Elmer P. Dadios may publish in the future.

Co-authorship network of co-authors of Elmer P. Dadios

This figure shows the co-authorship network connecting the top 25 collaborators of Elmer P. Dadios. A scholar is included among the top collaborators of Elmer P. Dadios 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 Elmer P. Dadios. Elmer P. Dadios is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 0
5 1
6 1
7 2
8 5
9 0
10 0
11 1
12 10
13 12
14 35
15 6
16 1
17 20
18 8
19
Optimization of CO2 Laser Cutting Parameters Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
4
20
Using Metaheuristic Computations to Find the Minimum-Norm-Residual Solution to Linear Systems of Equations
2

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.

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