Akshay Java

3.8k citations
32 papers · 3.0k · 1 hit paper · h-index 13

Impact in

Papers in

    • Web Data Mining and Analysis 10
    • Spam and Phishing Detection 9
    • Service-Oriented Architecture and Web Services 4
    • Semantic Web and Ontologies 7
    • Advanced Text Analysis Techniques 6
    • Topic Modeling 5

Akshay Java

30 papers receiving 2.6k citations

Akshay Java's Hit Papers

Why we twitter 2007 · 2.1k citations
2.1k0+6+12Years since publication50010001.5k2.0k

Peers

Akshay Java
Comparison fields: 5 of 112
  • Communication 771
  • Statistical and Nonlinear Physics 1.2k
  • Information Systems 1.1k
  • Artificial Intelligence 956
  • Transportation 151
Replace Xiaodan Song with:
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Ido Guy Israel
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Marcelo Mendoza Chile
Bárbara Poblete Chile
Fabian Abel Germany
Gianmarco De Francisci Morales Italy
Akshay Java relative to Xiaodan Song United States Xiaodan Song's profile →
Citations per field
00.5×1.5×
Xiaodan Song · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Why we twitter
Hit paper breakdown →
20072069
2 2009177
3 2006113
4 2006108
5
The ICWSM 2009 Spinn3r Dataset
200999
6 200563
7 200660
8 200847
9 200830
10 200728
11 200726
12
SemNews: a semantic news framework
200621
13 200620
14 200712
15
Web 2.0 Mining: Analyzing Social Media
200712
16 20079
17
Towards Spam Detection at Ping Servers
20077
18 20037
19 20027
20
Integrating Language Understanding Agents Into the Semantic Web
20056

About Akshay Java

Akshay Java is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Signal Processing, having authored 32 papers that have together received 3.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Web Data Mining and Analysis (10 papers), Spam and Phishing Detection (9 papers), Opinion Dynamics and Social Influence (9 papers), Semantic Web and Ontologies (7 papers), Advanced Text Analysis Techniques (6 papers), Topic Modeling (5 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Communication (771 citations), Statistical and Nonlinear Physics (1.2k citations), Information Systems (1.1k citations), Artificial Intelligence (956 citations) and Transportation (151 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 Soboroff, Sergei Nirenburg, Li Ding and Yun Peng. Their work appears in journals such as AI Magazine, International Journal on Semantic Web and Information Systems, Lecture notes in computer science, Maryland Shared Open Access Repository (USMAI Consortium) and National Conference on Artificial Intelligence.

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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