Abel G. Silva-Filho

671 total citations
17 papers, 213 citations indexed

About

Abel G. Silva-Filho is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Abel G. Silva-Filho has authored 17 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Hardware and Architecture. Recurrent topics in Abel G. Silva-Filho's work include Parallel Computing and Optimization Techniques (6 papers), AI in cancer detection (5 papers) and Machine Learning and ELM (3 papers). Abel G. Silva-Filho is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), AI in cancer detection (5 papers) and Machine Learning and ELM (3 papers). Abel G. Silva-Filho collaborates with scholars based in Brazil. Abel G. Silva-Filho's co-authors include Wellington Pinheiro dos Santos, Sidney Marlon Lopes de Lima, Filipe R. Cordeiro, George D. C. Cavalcanti and Victor L. F. Souza and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Computer Methods and Programs in Biomedicine.

In The Last Decade

Abel G. Silva-Filho

16 papers receiving 206 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abel G. Silva-Filho Brazil	7	114	86	67	33	26	17	213
Sidney Marlon Lopes de Lima Brazil	8	112 1.0×	67 0.8×	45 0.7×	63 1.9×	12 0.5×	18	191
Jahanzaib Latif China	8	106 0.9×	185 2.2×	93 1.4×	22 0.7×	49 1.9×	9	338
Muhammad Sohail Khan Pakistan	7	99 0.9×	100 1.2×	112 1.7×	64 1.9×	106 4.1×	14	299
Arpan Basu India	8	175 1.5×	146 1.7×	60 0.9×	9 0.3×	10 0.4×	13	283
D. Narain Ponraj India	10	137 1.2×	106 1.2×	83 1.2×	9 0.3×	41 1.6×	28	281
Hamidreza Bolhasani Iran	5	92 0.8×	49 0.6×	50 0.7×	30 0.9×	13 0.5×	13	222
Ahmed S. Elkorany Egypt	11	145 1.3×	94 1.1×	101 1.5×	33 1.0×	62 2.4×	43	416
T. Jaya India	9	61 0.5×	69 0.8×	52 0.8×	65 2.0×	12 0.5×	54	261
Jakeoung Koo South Korea	9	36 0.3×	59 0.7×	84 1.3×	15 0.5×	6 0.2×	22	252
Arnab Kumar Mishra India	9	183 1.6×	181 2.1×	97 1.4×	13 0.4×	24 0.9×	14	430

Countries citing papers authored by Abel G. Silva-Filho

Since Specialization

Citations

This map shows the geographic impact of Abel G. Silva-Filho'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 Abel G. Silva-Filho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abel G. Silva-Filho more than expected).

Fields of papers citing papers by Abel G. Silva-Filho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abel G. Silva-Filho. 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 Abel G. Silva-Filho. The network helps show where Abel G. Silva-Filho may publish in the future.

Co-authorship network of co-authors of Abel G. Silva-Filho

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

All Works

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17 of 17 papers shown

Cavalcanti, George D. C., et al.. (2019). Detecting Anomalies in the Engine Coolant Sensor Using One-Class Classifiers. 7. 1–5. 2 indexed citations

Silva-Filho, Abel G., et al.. (2019). BlindMobi: A system for bus identification, based on Bluetooth Low Energy, for people with visual impairment. 391–402.

Cordeiro, Filipe R., Wellington Pinheiro dos Santos, & Abel G. Silva-Filho. (2016). A semi-supervised fuzzy GrowCut algorithm to segment and classify regions of interest of mammographic images. Expert Systems with Applications. 65. 116–126. 31 indexed citations

Lima, Sidney Marlon Lopes de, Abel G. Silva-Filho, & Wellington Pinheiro dos Santos. (2016). Detection and classification of masses in mammographic images in a multi-kernel approach. Computer Methods and Programs in Biomedicine. 134. 11–29. 74 indexed citations

Cordeiro, Filipe R. & Abel G. Silva-Filho. (2016). Multi-objective optimization applied to unified second level cache memory hierarchy tuning aiming at energy and performance optimization. Applied Soft Computing. 49. 603–610. 3 indexed citations

Cordeiro, Filipe R., Wellington Pinheiro dos Santos, & Abel G. Silva-Filho. (2015). An adaptive semi-supervised Fuzzy GrowCut algorithm to segment masses of regions of interest of mammographic images. Applied Soft Computing. 46. 613–628. 21 indexed citations

Lima, Sidney Marlon Lopes de, et al.. (2015). Fuzzy Morphological Extreme Learning Machines to detect and classify masses in mammograms. 2. 1–8. 21 indexed citations

Lima, Sidney Marlon Lopes de, et al.. (2015). Morphological extreme learning machines applied to detect and classify masses in mammograms. 1–8. 16 indexed citations

Lima, Sidney Marlon Lopes de, et al.. (2015). Feature extraction employing fuzzy-morphological decomposition for detection and classification of mass on mammograms.. PubMed. 2015. 801–804. 5 indexed citations

10.

Silva-Filho, Abel G., et al.. (2015). Differential Evolution to Reduce Energy Consumption in Three-Level Memory Hierarchy. 1–6. 2 indexed citations

11.

Lima, Sidney Marlon Lopes de, Abel G. Silva-Filho, & Wellington Pinheiro dos Santos. (2014). A methodology for classification of lesions in mammographies using Zernike Moments, ELM and SVM Neural Networks in a multi-kernel approach. 988–991. 20 indexed citations

12.

Silva-Filho, Abel G., et al.. (2012). Energy Estimation Tool FPGA-based Approach for Petroleum Industry. 600–601. 2 indexed citations

13.

Silva-Filho, Abel G., et al.. (2011). FPGA-based Accelerator to Speed-up Seismic Applications. 9–9. 1 indexed citations

14.

Silva-Filho, Abel G., et al.. (2011). Poster. 41–42. 1 indexed citations

15.

Silva-Filho, Abel G., et al.. (2010). Motion detection of vehicles based on FPGA. 151–154. 9 indexed citations

16.

Cordeiro, Filipe R., et al.. (2010). MOPSO Applied to Architecture Tuning with Unified Second-Level Cache for Energy and Performance Optimization. 5. 103–110. 3 indexed citations

17.

Silva-Filho, Abel G. & Sidney Marlon Lopes de Lima. (2008). Energy consumption reduction mechanism by tuning cache configuration usign NIOS II processor. 291–294. 2 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.

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