Ananya Misra
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computer Science Applications top 1%
- Information Systems top 5%
- Software top 5%
- Co-authors
- Rebecca T. MercuriArun NarayananK. K. ChinTara N. SainathMichiel BacchianiChanwoo KimT. A. HughesEhsan Variani
- Topics
- Speech and Audio Processing (18 papers)Music and Audio Processing (18 papers)Music Technology and Sound Studies (15 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Ananya Misra
33 papers receiving 803 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 439
- Artificial Intelligence 416
- Computer Science Applications 222
- Information Systems 134
- Software 119
Countries citing papers authored by Ananya Misra
This map shows the geographic impact of Ananya Misra'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 Ananya Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ananya Misra more than expected).
Fields of papers citing papers by Ananya Misra
This network shows the impact of papers produced by Ananya Misra. 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 Ananya Misra. The network helps show where Ananya Misra may publish in the future.
Co-authorship network of co-authors of Ananya Misra
This figure shows the co-authorship network connecting the top 25 collaborators of Ananya Misra. A scholar is included among the top collaborators of Ananya Misra 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 Ananya Misra. Ananya Misra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 19 | |
| 4 | 3 | |
| 5 | 144 | |
| 6 | 100 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | Toward Synthesized Environments: A Survey of Analysis and Synthesis Methods for Sound Designers and Composers | 4 |
| 11 | Freedom in Tapestrea! Voice-Aware Track Manipulations. | 2 |
| 12 | Tapestrea: techniques and paradigms for expressive synthesis, transformation, and re-composition of environmental audio | 1 |
| 13 | 0 | |
| 14 | Microphone as Sensor in Mobile Phone Performance. | 17 |
| 15 | Musical Tapestry: Re-composing Natural Sounds | 10 |
| 16 | 6 | |
| 17 | A NEW PARADIGM FOR SOUND DESIGN | 9 |
| 18 | DESIGNING AND IMPLEMENTING THE CHUCK PROGRAMMING LANGUAGE | 1 |
| 19 | SNDTOOLS: REAL-TIME AUDIO DSP AND 3D VISUALIZATION | 7 |
| 20 | CO-AUDICLE: A COLLABORATIVE AUDIO PROGRAMMING SPACE | 3 |
About Ananya Misra
Ananya Misra is a scholar working on Signal Processing, Architecture and Software, having authored 34 papers that have together received 876 indexed citations. Recurring topics across this work include Speech and Audio Processing (18 papers), Music and Audio Processing (18 papers) and Music Technology and Sound Studies (15 papers). The work is most often cited by research in Computer Science Applications (222 citations), Signal Processing (439 citations) and Software (119 citations). Ananya Misra has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Rebecca T. Mercuri, Arun Narayanan, K. K. Chin, Tara N. Sainath, Michiel Bacchiani, Chanwoo Kim, T. A. Hughes, Ehsan Variani, Izhak Shafran and Perry R. Cook. Their work appears in journals such as Applied Sciences, IEEE/ACM Transactions on Audio Speech and Language Processing and Entropy.
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.