Daksh Patel
Impact in
- Artificial Intelligence top 5%
- Hate Speech and Cyberbullying Detection
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Communication top 10%
- Swearing, Euphemism, Multilingualism
Papers in
-
- Hate Speech and Cyberbullying Detection 4
- Internet Traffic Analysis and Secure E-voting 2
-
- Spam and Phishing Detection 1
- Co-authors
- Sandip Modha (4 shared papers)Prasenjit Majumder (4 shared papers)Thomas Mandl (3 shared papers)Tirth Patel (2 shared papers)Gautam Kishore Shahi (1 shared paper)Durgesh Nandini (1 shared paper)Amit Kumar Jaiswal (1 shared paper)Aditya Sinha (1 shared paper)
- Journals
- Construction Innovation (1 paper)Buildings (1 paper)SN Computer Science (1 paper)PubMed (1 paper)Procedia Computer Science (1 paper)
- Partner nations
- IndiaGermanyNew Zealand
In The Last Decade
Daksh Patel
8 papers receiving 244 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 231
- Communication 43
- Information Systems 54
- Social Psychology 38
- Building and Construction 21
Countries citing papers authored by Daksh Patel
This map shows the geographic impact of Daksh Patel'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 Daksh Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daksh Patel more than expected).
Fields of papers citing papers by Daksh Patel
This network shows the impact of papers produced by Daksh Patel. 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 Daksh Patel. The network helps show where Daksh Patel may publish in the future.
Co-authors
The 15 scholars most cited alongside Daksh Patel, 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 | 2019 | 171 | |
| 2 | Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages. | 2020 | 43 |
| 3 | 2021 | 26 | |
| 4 | 2022 | 12 | |
| 5 | 2020 | 11 | |
| 6 | 2019 | 10 | |
| 7 | 2025 | 4 | |
| 8 | 2024 | 2 |
About Daksh Patel
Daksh Patel is a scholar working on Artificial Intelligence, Information Systems, Building and Construction, Civil and Structural Engineering and Management Science and Operations Research, having authored 8 papers that have together received 279 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers), BIM and Construction Integration (2 papers), Spam and Phishing Detection (1 paper), Innovations in Concrete and Construction Materials (1 paper), Advanced Manufacturing and Logistics Optimization (1 paper), Infrastructure Maintenance and Monitoring (1 paper) and Construction Project Management and Performance (1 paper). The work is most often cited by research in Artificial Intelligence (231 citations), Communication (43 citations), Information Systems (54 citations), Social Psychology (38 citations) and Building and Construction (21 citations). Daksh Patel has collaborated with scholars based in India, Germany and New Zealand. Frequent co-authors include Sandip Modha, Prasenjit Majumder, Thomas Mandl, Tirth Patel, Gautam Kishore Shahi, Durgesh Nandini, Amit Kumar Jaiswal, Aditya Sinha, Xiaomeng Lei and Darryl Hwang. Their work appears in journals such as Construction Innovation, Buildings, SN Computer Science, PubMed and Procedia Computer Science.
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.