Gopal Sakarkar

522 total citations
30 papers, 192 citations indexed

About

Gopal Sakarkar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gopal Sakarkar has authored 30 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Gopal Sakarkar's work include Artificial Intelligence in Healthcare (3 papers), Online Learning and Analytics (2 papers) and Multi-Agent Systems and Negotiation (2 papers). Gopal Sakarkar is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Online Learning and Analytics (2 papers) and Multi-Agent Systems and Negotiation (2 papers). Gopal Sakarkar collaborates with scholars based in India, Indonesia and Malaysia. Gopal Sakarkar's co-authors include Juan C. Correa, Alejandro Rincón, Phillip Brooker, Yuki Yamada, Susana Ruiz Fernández, V. M. Thakare, Fernando Marmolejo‐Ramos, Natalie Butcher, Nilesh Shelke and Filbert H. Juwono and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Retailing and Consumer Services and Multimedia Tools and Applications.

In The Last Decade

Gopal Sakarkar

23 papers receiving 178 citations

Peers

Gopal Sakarkar
Camilo Peña Canada
Pei Li China
Ryan Hamilton United States
Peng Qin Macao
Tan Wei-ming China
Wiesław Kopeć Poland
Zhiying Jiang Singapore
Piotr Cofta Poland
Dongho Kim South Korea
Tuomas Mäkilä Finland
Camilo Peña Canada
Gopal Sakarkar
Citations per year, relative to Gopal Sakarkar Gopal Sakarkar (= 1×) peers Camilo Peña

Countries citing papers authored by Gopal Sakarkar

Since Specialization
Citations

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

Fields of papers citing papers by Gopal Sakarkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopal Sakarkar

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Sakarkar. A scholar is included among the top collaborators of Gopal Sakarkar 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 Gopal Sakarkar. Gopal Sakarkar 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.
2.
Khekare, Ganesh, et al.. (2024). A Deep Dive into Existing Lip Reading Technologies. 1–6. 1 indexed citations
3.
Sakarkar, Gopal, et al.. (2024). Outdoor activity classification using smartphone based inertial sensor measurements. Multimedia Tools and Applications. 83(31). 76963–76989. 9 indexed citations
4.
5.
Sakarkar, Gopal, et al.. (2024). Forecasting IPL Score Using Machine Learning Techniques. 1–5.
6.
7.
Sakarkar, Gopal, et al.. (2024). Enhancing Classification Performance through FeatureBoostThyro: A Comparative Study of Machine Learning Algorithms and Feature Selection. International Journal of Online and Biomedical Engineering (iJOE). 20(4). 29–42.
8.
Sakarkar, Gopal, et al.. (2024). Semantic Similarity in Multi-Source Information Retrieval for Improving Learner Performance. 1–6. 1 indexed citations
9.
Sakarkar, Gopal, et al.. (2024). Design an efficient VARMA LSTM GRU model for identification of deep-fake images via dynamic window-based spatio-temporal analysis. Multimedia Tools and Applications. 84(7). 3841–3857. 4 indexed citations
10.
Sakarkar, Gopal, et al.. (2024). Enabling Privacy-Preserving Machine Learning: Federal Learning with Homomorphic Encryption. 311–317. 3 indexed citations
11.
12.
Sakarkar, Gopal, et al.. (2023). An Empirical Study of Classification Models Using AUC-ROC Curve for Software Fault Predictions. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 250–260.
13.
Sakarkar, Gopal, et al.. (2023). Performance Evaluation of Machine Learning Methods for Thyroid Prediction. 1–6. 2 indexed citations
14.
Sakarkar, Gopal, et al.. (2023). Rheumatoid Arthritis Classification using Thermal Imaging. 119. 1–5. 1 indexed citations
15.
Sakarkar, Gopal, et al.. (2022). An Analytical Perspective on Various Deep Learning Techniques forDeep Fake Detection. International Journal of Innovations in Engineering and Science. 7(8). 25–30. 3 indexed citations
16.
Juwono, Filbert H., et al.. (2022). A Computational Approach for Predicting the Termination of COVID-19. 1 indexed citations
17.
Sakarkar, Gopal, et al.. (2022). Arthritis Detection Using Thermography and Artificial Intelligence. 1–6. 5 indexed citations
18.
Sakarkar, Gopal, et al.. (2021). Advance Approach for Detection of DNS Tunneling Attack from Network Packets Using Deep Learning Algorithms. SHILAP Revista de lepidopterología. 10(3). 241–266. 5 indexed citations
19.
Marmolejo‐Ramos, Fernando, Juan C. Correa, Gopal Sakarkar, et al.. (2016). Placing joy, surprise and sadness in space: a cross-linguistic study. Psychological Research. 81(4). 750–763. 24 indexed citations
20.
Sakarkar, Gopal & Nilesh Shelke. (2009). A new classification acheme for autonomous software agent. 1–2. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Camilo Peña Breakdown of academic impact, for papers by Pei Li Breakdown of academic impact, for papers by Ryan Hamilton Breakdown of academic impact, for papers by Peng Qin Breakdown of academic impact, for papers by Tan Wei-ming Breakdown of academic impact, for papers by Wiesław Kopeć Breakdown of academic impact, for papers by Zhiying Jiang Breakdown of academic impact, for papers by Piotr Cofta Breakdown of academic impact, for papers by Dongho Kim Breakdown of academic impact, for papers by Tuomas Mäkilä
Rankless by CCL
2026