Mandar Gogate
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Advanced Malware Detection Techniques
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
Papers in
-
- Speech and Audio Processing 24
- Music and Audio Processing 4
-
- Advanced Neural Network Applications 4
- Co-authors
- Amir HussainKia DashtipourAhsan AdeelAhsen TahirAziz SheikhZakariya SheikhZain HussainAzhar Ali
- Journals
- Cognitive Computation (4 papers)Neurocomputing (3 papers)Information Fusion (2 papers)Applied Soft Computing (2 papers)IEEE Transactions on Artificial Intelligence (2 papers)
- Partner nations
- United KingdomChinaPakistan
In The Last Decade
Mandar Gogate
51 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Signal Processing 236
- Artificial Intelligence 642
- Computer Vision and Pattern Recognition 244
- Health 95
- Health Informatics 11
Countries citing papers authored by Mandar Gogate
This map shows the geographic impact of Mandar Gogate'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 Mandar Gogate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mandar Gogate more than expected).
Fields of papers citing papers by Mandar Gogate
This network shows the impact of papers produced by Mandar Gogate. 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 Mandar Gogate. The network helps show where Mandar Gogate may publish in the future.
Co-authors
The 25 scholars most cited alongside Mandar Gogate, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 25 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 24 | |
| 14 | 2023 | 20 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 21 | |
| 17 | 2021 | 68 | |
| 18 | 2021 | 6 | |
| 19 | Artificial Intelligence–Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study Hit paper breakdown → | 2021 | 190 |
| 20 | 2021 | 52 |
About Mandar Gogate
Mandar Gogate is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Computational Mechanics, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech and Audio Processing (24 papers), Hearing Loss and Rehabilitation (11 papers), Sentiment Analysis and Opinion Mining (9 papers), Advanced Adaptive Filtering Techniques (8 papers), Topic Modeling (6 papers), Advanced Text Analysis Techniques (5 papers), Music and Audio Processing (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Signal Processing (236 citations), Artificial Intelligence (642 citations), Computer Vision and Pattern Recognition (244 citations), Health (95 citations) and Health Informatics (11 citations). Mandar Gogate has collaborated with scholars based in United Kingdom, China and Pakistan. Frequent co-authors include Amir Hussain, Kia Dashtipour, Ahsan Adeel, Ahsen Tahir, Aziz Sheikh, Zakariya Sheikh, Zain Hussain, Azhar Ali, Erik Cambria and Boubakr Nour. Their work appears in journals such as Cognitive Computation, Neurocomputing, Information Fusion, Applied Soft Computing and IEEE Transactions on Artificial Intelligence.
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.