Akshay Java

3.8k citations
31 papers · 2.9k · 1 hit paper · h-index 13

Impact in

Papers in

Akshay Java

29 papers receiving 2.6k citations

Akshay Java's Hit Papers

Why we twitter 2007 · 2.0k citations
2.0k0+6+12Years since publication50010001.5k2.0k

Peers

Akshay Java
Comparison fields: 5 of 111
  • Communication 747
  • Statistical and Nonlinear Physics 1.2k
  • Information Systems 1.0k
  • Artificial Intelligence 932
  • Transportation 149
Replace Daniel M. Romero with:
Daniel M. Romero United States
Fabian Abel Germany
Ido Guy Israel
Jasmine Novak United States
Bárbara Poblete Chile
Gianmarco De Francisci Morales Italy
Justin S. Cheng United States
Alejandro Jaimes United States
Jianshu Weng Singapore
Sitaram Asur United States
Akshay Java relative to Daniel M. Romero United States Daniel M. Romero's profile →
Citations per field
00.5×1.6×
Daniel M. Romero · 1×
Citations per year

Countries citing papers authored by Akshay Java

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Akshay Java Line = papers co-authored together Akshay Java links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Why we twitter
Hit paper breakdown →
20072024
2 2009177
3 2006115
4 2006104
5
The ICWSM 2009 Spinn3r Dataset
2009104
6 200558
7 200656
8 200845
9 200829
10 200725
11 200725
12
SemNews: a semantic news framework
200621
13 200619
14
The BlogVox Opinion Retrieval System
200711
15
Web 2.0 Mining: Analyzing Social Media
200711
16 20079
17 20037
18
Towards Spam Detection at Ping Servers
20077
19
Integrating Language Understanding Agents Into the Semantic Web
20056
20 20076

About Akshay Java

Akshay Java is a scholar working on Statistical and Nonlinear Physics, Information Systems, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Web Data Mining and Analysis (10 papers), Opinion Dynamics and Social Influence (9 papers), Spam and Phishing Detection (9 papers), Semantic Web and Ontologies (7 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 (747 citations), Statistical and Nonlinear Physics (1.2k citations), Information Systems (1.0k citations), Artificial Intelligence (932 citations) and Transportation (149 citations). Akshay Java has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Tim Finin, Belle L. Tseng, Xiaodan Song, Pranam Kolari, Anupam Joshi, Tim Oates, Ian M. Soboroff, Sergei Nirenburg, Rong Pan and Yun Peng. Their work appears in journals such as International Journal on Semantic Web and Information Systems, AI Magazine, Lecture notes in computer science, Maryland Shared Open Access Repository (USMAI Consortium) and Proceedings of the International AAAI Conference on Web and Social Media.

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.

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