Akshay Java
- Communication top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 13
- Opinion Dynamics and Social Influence 8
- Information Systems top 0.5%
- Web Data Mining and Analysis 10
- Spam and Phishing Detection 9
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 6
- Advanced Text Analysis Techniques 6
- Topic Modeling 5
- Natural Language Processing Techniques 4
- Co-authors
- Tim FininXiaodan SongBelle L. TsengPranam KolariAnupam JoshiTim OatesIan SoboroffSergei Nirenburg
- Journals
- International Journal on Semantic Web and Information Systems (1 paper)AI Magazine (1 paper)AAS (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Akshay Java
28 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Communication 642
- Statistical and Nonlinear Physics 943
- Information Systems 838
- Artificial Intelligence 754
- Computer Science Applications 102
Countries citing papers authored by Akshay Java
This map shows the geographic impact of Akshay Java'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 Akshay Java with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Java more than expected).
Fields of papers citing papers by Akshay Java
This network shows the impact of papers produced by Akshay Java. 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 Akshay Java. The network helps show where Akshay Java may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Akshay Java, 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 | The ICWSM 2009 Spinn3r Dataset | 2009 | 88 |
| 2 | 2008 | 43 | |
| 3 | 2008 | 4 | |
| 4 | 2008 | 3 | |
| 5 | Mining social media communities and content | 2008 | 3 |
| 6 | Towards Spam Detection at Ping Servers | 2007 | 7 |
| 7 | Spam in Blogs and Social Media, Tutorial | 2007 | 2 |
| 8 | 2007 | 12 | |
| 9 | Web 2.0 Mining: Analyzing Social Media | 2007 | 11 |
| 10 | 2007 | 6 | |
| 11 | 2007 | 25 | |
| 12 | Why we twitterbreakdown → | 2007 | 1768 |
| 13 | 2007 | 6 | |
| 14 | SemNews: a semantic news framework | 2006 | 14 |
| 15 | 2006 | 92 | |
| 16 | 2006 | 11 | |
| 17 | Integrating Language Understanding Agents Into the Semantic Web | 2005 | 4 |
| 18 | 2005 | 51 | |
| 19 | 2003 | 7 | |
| 20 | Predictive Mining of Time Series Data | 2002 | 2 |
About Akshay Java
Akshay Java is a scholar working on Statistical and Nonlinear Physics, Information Systems and Artificial Intelligence, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (13 papers), Web Data Mining and Analysis (10 papers), Spam and Phishing Detection (9 papers), Opinion Dynamics and Social Influence (8 papers), Semantic Web and Ontologies (6 papers), Advanced Text Analysis Techniques (6 papers), Topic Modeling (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Communication (642 citations), Statistical and Nonlinear Physics (943 citations) and Information Systems (838 citations). Akshay Java has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tim Finin, Xiaodan Song, Belle L. Tseng, Pranam Kolari, Anupam Joshi, Tim Oates, Ian Soboroff, Sergei Nirenburg, Yun Peng and Li Ding. Their work appears in journals such as International Journal on Semantic Web and Information Systems, AI Magazine, AAS, Proceedings of the International AAAI Conference on Web and Social Media and arXiv (Cornell University).
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.