Miguel Botto-Tobar

525 total citations
51 papers, 203 citations indexed

About

Miguel Botto-Tobar is a scholar working on Information Systems, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Miguel Botto-Tobar has authored 51 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Miguel Botto-Tobar's work include COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers) and Knowledge Societies in the 21st Century (3 papers). Miguel Botto-Tobar is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), AI in cancer detection (3 papers) and Knowledge Societies in the 21st Century (3 papers). Miguel Botto-Tobar collaborates with scholars based in Ecuador, Netherlands and Spain. Miguel Botto-Tobar's co-authors include Syam Machinathu Parambil Gangadharan, Ramgopal Kashyap, Ali Rizwan, Rajit Nair, Benjamin Duraković, Pablo Torres-Carrión, Abdul Rahman, Omar S. Gómez, Rahmat Hidayat and Alexander Serebrenik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Intelligence and Neuroscience and Healthcare.

In The Last Decade

Miguel Botto-Tobar

38 papers receiving 195 citations

Peers

Miguel Botto-Tobar

RNMI

CVPR

CNC

Ace C. Lagman Philippines

José Manuel Torres Portugal

Teoh Teik Toe Singapore

Mrinal Pandey India

Adrian Groza Romania

Shanmugam Sundaramurthy India

Waleed Abu-Ain Saudi Arabia

Irhamah Irhamah Indonesia

Erwin Erwin Indonesia

Kireet Joshi India

Ace C. Lagman Philippines

Miguel Botto-Tobar

53 ×1.3

RNMI

43 ×1.3

38 ×1.4

CVPR

35 ×1.3

10 ×0.5

CNC

Citations per year, relative to Miguel Botto-Tobar Miguel Botto-Tobar (= 1×) peers Ace C. Lagman

Countries citing papers authored by Miguel Botto-Tobar

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Botto-Tobar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Botto-Tobar. 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 Miguel Botto-Tobar. The network helps show where Miguel Botto-Tobar may publish in the future.

Co-authorship network of co-authors of Miguel Botto-Tobar

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

All Works

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20 of 20 papers shown

Nair, Rajit, Mosleh Hmoud Al-Adhaileh, Ramgopal Kashyap, et al.. (2025). Harnessing Advanced Deep Learning Techniques for Enhanced Accuracy and Efficiency in Arthroplasty. Engineered Science.

Botto-Tobar, Miguel, et al.. (2024). Exploring Advanced Deep Learning Paradigms for Precise Brain Tumor Categorization. SN Computer Science. 5(7).

Botto-Tobar, Miguel, et al.. (2023). Trends in Artificial Intelligence and Computer Engineering. Lecture notes in networks and systems. 1 indexed citations

Rusli, Rusli, et al.. (2023). Profile of digital literacy of mathematics education students in online learning and its relationship with learning motivation. Periodicals of Engineering and Natural Sciences (PEN). 11(3). 239–239.

Botto-Tobar, Miguel, et al.. (2022). Segmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model. Computational Intelligence and Neuroscience. 2022. 1–9. 4 indexed citations

García, Carlos, et al.. (2022). Supervised Learning Techniques for the Optimization of Diagnosis Processes of Diabetes in Public Health Centers.

Molina‐Vila, Miguel Ángel, et al.. (2022). Application of Machine Learning for the Prediction of Covid19 Through Classification Techniques and Supervised Learning. 1 indexed citations

Ahmar, Ansari Saleh, Miguel Botto-Tobar, Abdul Rahman, & Rahmat Hidayat. (2022). Forecasting the Value of Oil and Gas Exports in Indonesia using ARIMA Box-Jenkins. 3(1). 35–42. 9 indexed citations

Kashyap, Ramgopal, et al.. (2022). Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model. Healthcare. 10(12). 2497–2497. 76 indexed citations

10.

Botto-Tobar, Miguel, et al.. (2022). I+D for Smart Cities and Industry. Lecture notes in networks and systems. 3 indexed citations

11.

Botto-Tobar, Miguel, et al.. (2022). Emerging Research in Intelligent Systems. Lecture notes in networks and systems. 2 indexed citations

12.

Botto-Tobar, Miguel, et al.. (2022). Trends in Artificial Intelligence and Computer Engineering. Lecture notes in networks and systems. 4 indexed citations

13.

Botto-Tobar, Miguel, et al.. (2022). Applied Technologies. Communications in computer and information science. 4 indexed citations

14.

Botto-Tobar, Miguel, et al.. (2021). Recent Advances in Electrical Engineering, Electronics and Energy. Lecture notes in electrical engineering. 1 indexed citations

15.

Botto-Tobar, Miguel, et al.. (2020). Applied Technologies. Communications in computer and information science. 8 indexed citations

16.

Basantes-Andrade, Andrea, et al.. (2020). Technology, Sustainability and Educational Innovation (TSIE). Advances in intelligent systems and computing. 4 indexed citations

17.

Botto-Tobar, Miguel, et al.. (2020). An Intelligent Transportation System: the Quito City Case Study. International Journal on Advanced Science Engineering and Information Technology. 10(2). 507–519. 4 indexed citations

18.

Botto-Tobar, Miguel, et al.. (2020). Impact of Industrial SMEs in the Environment Conservation : A Systematic Mapping Study. International Journal on Advanced Science Engineering and Information Technology. 10(2). 684–690. 2 indexed citations

19.

Botto-Tobar, Miguel, et al.. (2019). Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation. Studies in computational intelligence. 11 indexed citations

20.

Botto-Tobar, Miguel, et al.. (2017). Confiabilidad y consideraciones del voto electrónico, una visión global. SHILAP Revista de lepidopterología. 2(5). 26–38. 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.

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