Sandip Modha
- Artificial Intelligence top 2%
- Information Systems top 5%
- Communication top 5%
- Social Psychology
- Signal Processing top 10%
- Co-authors
- Thomas MandlPrasenjit MajumderDaksh PatelBharathi Raja ChakravarthiM. Anand KumarGautam Kishore ShahiTharindu RanasingheMarcos Zampieri
- Topics
- Hate Speech and Cyberbullying Detection (16 papers)Topic Modeling (6 papers)Spam and Phishing Detection (5 papers)
- Journals
- Expert Systems with ApplicationsPattern Recognition LettersSocial Network Analysis and Mining
- Partner nations
- IndiaGermanyUnited Kingdom
In The Last Decade
Sandip Modha
22 papers receiving 480 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 542
- Information Systems 109
- Communication 100
- Social Psychology 80
- Signal Processing 60
Countries citing papers authored by Sandip Modha
This map shows the geographic impact of Sandip Modha'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 Sandip Modha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandip Modha more than expected).
Fields of papers citing papers by Sandip Modha
This network shows the impact of papers produced by Sandip Modha. 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 Sandip Modha. The network helps show where Sandip Modha may publish in the future.
Co-authorship network of co-authors of Sandip Modha
This figure shows the co-authorship network connecting the top 25 collaborators of Sandip Modha. A scholar is included among the top collaborators of Sandip Modha 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 Sandip Modha. Sandip Modha 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 22 | |
| 8 | 29 | |
| 9 | 43 | |
| 10 | 2 | |
| 11 | Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Languages. | 43 |
| 12 | 10 | |
| 13 | 112 | |
| 14 | 67 | |
| 15 | 165 | |
| 16 | DAIICT-Hildesheim @ Information Retrieval from Microblogs during Disasters (IRMiDis 2018). | 1 |
| 17 | Filtering Aggression from the Multilingual Social Media Feed | 26 |
| 18 | DAIICT at TREC RTS 2016: Live Push Notification and Email Digest. | 1 |
| 19 | Entity Extraction from Social Media Text Indian Languages (ESM-IL). | 1 |
| 20 | Automated Story Illustrator. | 2 |
About Sandip Modha
Sandip Modha is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 24 papers that have together received 559 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (16 papers), Topic Modeling (6 papers) and Spam and Phishing Detection (5 papers). The work is most often cited by research in Artificial Intelligence (542 citations), Communication (100 citations) and Signal Processing (60 citations). Sandip Modha has collaborated with scholars based in India, Germany and United Kingdom. Frequent co-authors include Thomas Mandl, Prasenjit Majumder, Daksh Patel, Bharathi Raja Chakravarthi, M. Anand Kumar, Gautam Kishore Shahi, Tharindu Ranasinghe, Marcos Zampieri, Amit Kumar Jaiswal and Parth Mehta. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition Letters and Social Network Analysis and Mining.
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.