Leonel Lagos

1.0k total citations
51 papers, 641 citations indexed

About

Leonel Lagos is a scholar working on Inorganic Chemistry, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Leonel Lagos has authored 51 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Inorganic Chemistry, 10 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Leonel Lagos's work include Radioactive element chemistry and processing (12 papers), Blockchain Technology Applications and Security (5 papers) and Mine drainage and remediation techniques (4 papers). Leonel Lagos is often cited by papers focused on Radioactive element chemistry and processing (12 papers), Blockchain Technology Applications and Security (5 papers) and Mine drainage and remediation techniques (4 papers). Leonel Lagos collaborates with scholars based in United States, Venezuela and Cameroon. Leonel Lagos's co-authors include Himanshu Upadhyay, Yelena Katsenovich, Xueji Zhang, Chun‐Zhu Li, Hardik Gohel, K Cooper, Tushar Bhardwaj, Wenbing Zhao, Dawn M. Wellman and M. A. Ebadian and has published in prestigious journals such as Environmental Science & Technology, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Leonel Lagos

42 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonel Lagos United States	14	140	102	88	76	74	51	641
Andreas Kyek Germany	11	147 1.1×	41 0.4×	18 0.2×	129 1.7×	37 0.5×	21	1.2k
Fenghe Wang China	16	443 3.2×	37 0.4×	57 0.6×	209 2.8×	57 0.8×	49	1.4k
Tianchi Liu China	17	135 1.0×	144 1.4×	26 0.3×	52 0.7×	22 0.3×	40	1.2k
Guangli Zhu China	21	391 2.8×	17 0.2×	61 0.7×	51 0.7×	23 0.3×	55	1.1k
Magda Ruiz Ordóñez Spain	20	72 0.5×	58 0.6×	9 0.1×	43 0.6×	31 0.4×	58	1.1k
Haifeng Gong China	21	289 2.1×	40 0.4×	25 0.3×	172 2.3×	36 0.5×	95	1.3k
Yun Chen China	16	303 2.2×	20 0.2×	60 0.7×	104 1.4×	111 1.5×	103	971
Xiaolu Chen China	18	125 0.9×	57 0.6×	7 0.1×	159 2.1×	30 0.4×	79	845
Chunhong Li China	11	111 0.8×	22 0.2×	177 2.0×	113 1.5×	7 0.1×	28	689

Countries citing papers authored by Leonel Lagos

Since Specialization

Citations

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

Fields of papers citing papers by Leonel Lagos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonel Lagos. 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 Leonel Lagos. The network helps show where Leonel Lagos may publish in the future.

Co-authorship network of co-authors of Leonel Lagos

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Upadhyay, Himanshu, et al.. (2025). Machine Learning Approach for Groundwater Contamination Spatiotemporal Relationship Exploration. Water. 17(1). 121–121. 3 indexed citations

Paula, E. R. de, et al.. (2025). Comparative analysis of model compression techniques for achieving carbon efficient AI. Scientific Reports. 15(1). 23461–23461. 1 indexed citations

Awwad, A., Dwayne McDaniel, Leonel Lagos, Julián Rivera, & Berrin Tansel. (2024). Effect of ion penetration on the aging of EPDM components used in caustic liquid transfer lines by microscopic analysis. International Journal of Pressure Vessels and Piping. 209. 105173–105173.

Upadhyay, Himanshu, et al.. (2024). Spatial-temporal analysis of groundwater well features from neural network prediction of hexavalent chromium concentration. Scientific Reports. 14(1). 31070–31070. 1 indexed citations

Katsenovich, Yelena, et al.. (2024). Sorption kinetics and stability of conventional adsorbents for mercury remediation. Journal of environmental chemical engineering. 12(5). 113664–113664. 5 indexed citations

Hamrani, Abderrachid, et al.. (2024). Smart quadruped robotics: a systematic review of design, control, sensing and perception. Advanced Robotics. 39(1). 3–29. 1 indexed citations

Lagos, Leonel, et al.. (2024). AI-based detection and identification of low-level nuclear waste: a comparative analysis. Neural Computing and Applications. 36(33). 21061–21072. 1 indexed citations

Moore, Philip, et al.. (2024). Determination of Airborne Release Fractions from Loose Powder Contamination Under Impact Stress. Nuclear Technology. 211(3). 598–606.

Zhao, Wenbing, et al.. (2023). The Design and Implementation of a Secure Datastore Based on Ethereum Smart Contract. Applied Sciences. 13(9). 5282–5282. 11 indexed citations

10.

Upadhyay, Himanshu, et al.. (2023). IoT Device Identity Management and Blockchain for Security and Data Integrity. International Journal of Computer Applications. 184(42). 49–55. 9 indexed citations

11.

Wainwright, Haruko, Brian A. Powell, Ali Ayoub, et al.. (2023). Nuclear waste Educator's workshop: What and how do we teach about nuclear waste?. Journal of Environmental Radioactivity. 270. 107288–107288. 4 indexed citations

12.

Zhao, Wenbing, et al.. (2023). A Blockchain-Facilitated Secure Sensing Data Processing and Logging System. IEEE Access. 11. 21712–21728. 27 indexed citations

13.

Upadhyay, Himanshu, et al.. (2023). Methodologies for Email Spam Classification Using Large Language Models. 179–185.

14.

Yi, Tong, et al.. (2020). Robotic Exoskeleton Design and System Control for Glovebox Operators in Nuclear Facilities. 509–512. 2 indexed citations

15.

Gohel, Hardik, et al.. (2020). Predictive maintenance architecture development for nuclear infrastructure using machine learning. Nuclear Engineering and Technology. 52(7). 1436–1442. 100 indexed citations

16.

Gohel, Hardik, et al.. (2017). Design of Virtualization Framework to Detect Cyber Threats in Linux Environment. 316–320. 3 indexed citations

17.

Katsenovich, Yelena, et al.. (2015). The effect of uranium on bacterial viability and cell surface morphology using atomic force microscopy in the presence of bicarbonate ions. Research in Microbiology. 166(5). 419–427. 13 indexed citations

18.

Katsenovich, Yelena, et al.. (2015). The effect of bicarbonate on the microbial dissolution of autunite mineral in the presence of gram-positive bacteria. Journal of Environmental Radioactivity. 144. 77–85. 2 indexed citations

19.

Katsenovich, Yelena, et al.. (2010). Nanomedicine: Magnetic Nanoparticles and their Biomedical Applications. Current Medicinal Chemistry. 17(27). 3120–3141. 127 indexed citations

20.

Garavaglia, M., et al.. (2008). ²²⁶Ra,²³²Th and⁴⁰K contents and radon exhalation rate from materials used for construction and decoration in Cameroon. Journal of Radiological Protection. 28(3). 369–378. 12 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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