Parisa Haghani
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Karl AbererSebastian MichelPedro J. MorenoNeeraj GaurZhongdi QuSaman ZonouzAustin WatersTara N. Sainath
- Topics
- Speech Recognition and Synthesis (15 papers)Natural Language Processing Techniques (8 papers)Speech and Audio Processing (5 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Parisa Haghani
30 papers receiving 442 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 330
- Signal Processing 214
- Computer Networks and Communications 133
- Information Systems 69
- Computer Vision and Pattern Recognition 61
Countries citing papers authored by Parisa Haghani
This map shows the geographic impact of Parisa Haghani'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 Parisa Haghani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parisa Haghani more than expected).
Fields of papers citing papers by Parisa Haghani
This network shows the impact of papers produced by Parisa Haghani. 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 Parisa Haghani. The network helps show where Parisa Haghani may publish in the future.
Co-authorship network of co-authors of Parisa Haghani
This figure shows the co-authorship network connecting the top 25 collaborators of Parisa Haghani. A scholar is included among the top collaborators of Parisa Haghani 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 Parisa Haghani. Parisa Haghani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 22 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | Tracking Hot-k Items over Web 2.0 Streams | 1 |
| 16 | 53 | |
| 17 | 29 | |
| 18 | 43 | |
| 19 | LSH At Large - Distributed KNN Search in High Dimensions | 19 |
| 20 | Self-organizing schema mappings in the GridVine peer data management system | 1 |
About Parisa Haghani
Parisa Haghani is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 31 papers that have together received 488 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (8 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (214 citations), Artificial Intelligence (330 citations) and Computer Networks and Communications (133 citations). Parisa Haghani has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Karl Aberer, Sebastian Michel, Pedro J. Moreno, Neeraj Gaur, Zhongdi Qu, Saman Zonouz, Austin Waters, Tara N. Sainath, Michiel Bacchiani and Arun Narayanan. Their work appears in journals such as Computers & Security, Computer Science - Research and Development and View.
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.