Sean MacAvaney
Impact in
- Artificial Intelligence top 2%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Internet Traffic Analysis and Secure E-voting
- Communication top 5%
- Social Media and Politics
Papers in
-
- Topic Modeling 25
- Natural Language Processing Techniques 13
- Domain Adaptation and Few-Shot Learning 5
-
- Information Retrieval and Search Behavior 15
- Web Data Mining and Analysis 5
- Co-authors
- Nazli GoharianKatina RussellOphir FriederEugene YangNicola TonellottoCraig MacdonaldLuca SoldainiArman Cohan
- Journals
- ACM Transactions on Information Systems (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Angewandte Chemie International Edition (1 paper)ACM SIGIR Forum (1 paper)Information Retrieval (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Sean MacAvaney
39 papers receiving 629 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 526
- Communication 80
- Information Systems 163
- Applied Psychology 30
- Social Psychology 117
Countries citing papers authored by Sean MacAvaney
This map shows the geographic impact of Sean MacAvaney'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 Sean MacAvaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean MacAvaney more than expected).
Fields of papers citing papers by Sean MacAvaney
This network shows the impact of papers produced by Sean MacAvaney. 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 Sean MacAvaney. The network helps show where Sean MacAvaney may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sean MacAvaney, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 21 | |
| 15 | 2021 | 3 | |
| 16 | Contextualized Word Representations for Document Re-Ranking | 2019 | 2 |
| 17 | Hate speech detection: Challenges and solutions Hit paper breakdown → | 2019 | 323 |
| 18 | 2018 | 24 | |
| 19 | PACRR Gated Expansion for TREC CAR 2018. | 2018 | 0 |
| 20 | Contextualized PACRR for Complex Answer Retrieval. | 2017 | 2 |
About Sean MacAvaney
Sean MacAvaney is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications and Physical Therapy, Sports Therapy and Rehabilitation, having authored 48 papers that have together received 650 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Information Retrieval and Search Behavior (15 papers), Natural Language Processing Techniques (13 papers), Advanced Image and Video Retrieval Techniques (6 papers), Web Data Mining and Analysis (5 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Handwritten Text Recognition Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (526 citations), Communication (80 citations), Information Systems (163 citations), Applied Psychology (30 citations) and Social Psychology (117 citations). Sean MacAvaney has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Nazli Goharian, Katina Russell, Ophir Frieder, Eugene Yang, Nicola Tonellotto, Craig Macdonald, Luca Soldaini, Arman Cohan, Iadh Ounis and Andrew Yates. Their work appears in journals such as ACM Transactions on Information Systems, Transactions of the Association for Computational Linguistics, Angewandte Chemie International Edition, ACM SIGIR Forum and Information Retrieval.
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.