Ingrid Nurtanio

436 total citations
82 papers, 242 citations indexed

About

Ingrid Nurtanio is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ingrid Nurtanio has authored 82 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Ingrid Nurtanio's work include Computer Science and Engineering (9 papers), Edcuational Technology Systems (8 papers) and Hand Gesture Recognition Systems (7 papers). Ingrid Nurtanio is often cited by papers focused on Computer Science and Engineering (9 papers), Edcuational Technology Systems (8 papers) and Hand Gesture Recognition Systems (7 papers). Ingrid Nurtanio collaborates with scholars based in Indonesia and Japan. Ingrid Nurtanio's co-authors include Amil Ahmad Ilham, I Ketut Eddy Purnama, Mauridhi Hery Purnomo, Intan Sari Areni, Indrabayu Indrabayu, Mochamad Hariadi, Eha Renwi Astuti, Anak Agung Putri Ratna, Supeno Mardi Susiki Nugroho and Reza Fuad Rachmadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Chemistry and Physics and International Journal of Advanced Computer Science and Applications.

In The Last Decade

Ingrid Nurtanio

58 papers receiving 221 citations

Peers

Ingrid Nurtanio
Leema Nelson India
Nor Azwan Mohamed Kamari Malaysia
Ervin Gubin Moung Malaysia
P A Harsha Vardhini India
Esa Prakasa Indonesia
Reza Fuad Rachmadi Indonesia
Sarifuddin Madenda Indonesia
D.C. Joy Winnie Wise India
Milan Tripathi Nepal
Shaukat Hayat China
Leema Nelson India
Ingrid Nurtanio
Citations per year, relative to Ingrid Nurtanio Ingrid Nurtanio (= 1×) peers Leema Nelson

Countries citing papers authored by Ingrid Nurtanio

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Nurtanio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Nurtanio

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Nurtanio. A scholar is included among the top collaborators of Ingrid Nurtanio 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 Ingrid Nurtanio. Ingrid Nurtanio 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
1.
Gareso, Paulus Lobo, Heryanto Heryanto, Dahlang Tahir, et al.. (2024). Enhancing photocatalytic performance of iron-doped TiO2 nanoparticles: Effects of annealing temperature on anatase-rutile mixed phase structure. Materials Chemistry and Physics. 320. 129464–129464. 7 indexed citations
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Syarif, Syafruddin, et al.. (2024). Detection of corn plant diseases using convolutional neural network: A review. AIP conference proceedings. 3145. 40001–40001.
4.
Syarif, Syafruddin, et al.. (2024). Comparison of Convolutional Neural Network Methods for the Classification of Maize Plant Diseases. 10(1). 46–59. 3 indexed citations
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Indrabayu, Indrabayu, et al.. (2024). Thin Books Recognition on Bookshelves Using Computer Vision. 109–114.
8.
Ilham, Amil Ahmad, et al.. (2024). Performance Analysis of Feature Mel Frequency Cepstral Coefficient and Short Time Fourier Transform Input for Lie Detection using Convolutional Neural Network. SHILAP Revista de lepidopterología. 8(1). 279–279. 1 indexed citations
9.
Purnama, I Ketut Eddy, Reza Fuad Rachmadi, Supeno Mardi Susiki Nugroho, et al.. (2023). Intelligent Teledermatology System: A Case of Implementing Artificial Intelligence-Based Services in Healthcare Supply Chain. Operations and Supply Chain Management An International Journal. 140–151. 2 indexed citations
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Ilham, Amil Ahmad, et al.. (2023). Dynamic Sign Language Recognition Using Mediapipe Library and Modified LSTM Method. International Journal on Advanced Science Engineering and Information Technology. 13(6). 2171–2180.
12.
Ilham, Amil Ahmad, et al.. (2023). Optimization of Briquette Classification Using Deep Learning. Journal of Advanced Computational Intelligence and Intelligent Informatics. 27(6). 1200–1208.
13.
Hernawati, Hernawati, Ingrid Nurtanio, & Syafaruddin Syafaruddin. (2023). Estimation of Cholesterol for Multiple Food Dish on One Plate Using Computer Vision. 142–146.
14.
Ilham, Amil Ahmad, et al.. (2023). Dynamic Sign Language Recognition Using Mediapipe Library and Modified LSTM Method. International Journal on Advanced Science Engineering and Information Technology. 13(6). 2171–2180.
15.
Ilham, Amil Ahmad, et al.. (2023). Modeling of Organic Waste Classification as Raw Materials for Briquettes using Machine Learning Approach. International Journal of Advanced Computer Science and Applications. 14(3). 2 indexed citations
16.
Nurtanio, Ingrid, et al.. (2022). Deepfake Detection in Videos Using Long Short-Term Memory and CNN ResNext. SHILAP Revista de lepidopterología. 14(3). 178–185. 4 indexed citations
17.
Indrabayu, Indrabayu, Zahir Zainuddin, Ingrid Nurtanio, et al.. (2022). Strategi Pembelajaran Menggunakan Metaverse Bagi Guru Di Madrasah Aliyah Al Hidayah. 5(2). 254–262. 1 indexed citations
18.
Areni, Intan Sari, et al.. (2018). The Development of Machine Vision System for Sorting Passion Fruit using MultiClass Support Vector Machine. Journal of Engineering Science and Technology Review. 11(5). 178–184. 9 indexed citations
19.
Nurtanio, Ingrid, et al.. (2015). Detection of Kidney Organ Condition Using Hidden Markov Models. Indonesian Journal of Electrical Engineering and Computer Science. 15(2). 294–300. 1 indexed citations
20.
Indrabayu, Indrabayu, et al.. (2015). PROTOTIPE SISTEM TRAFFICLIGHT CERDAS UNTUK SOLUSI KEMACETAN LALU LINTAS (Sistem Transportasi Cerdas Selaras Kultur-Sosial Benua Maritim Indonesia). Hasanuddin University Repository. 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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