Vasudeva Akula

879 citations
17 papers · 634 indexed · h-index 10
Topics
Digital Marketing and Social Media (7 papers)Sentiment Analysis and Opinion Mining (6 papers)Auction Theory and Applications (4 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Vasudeva Akula

16 papers receiving 608 citations

Peers

Vasudeva Akula
Comparison fields: 5 of 67
  • Sociology and Political Science 332
  • Artificial Intelligence 183
  • Marketing 146
  • Management Information Systems 120
  • Information Systems 88
Replace Xin Tian with:
Xin Tian United States
Jianrong Yao China
Kun Chen China
Samadrita Bhattacharyya India
Amit Kushwaha India
Pengkun Wu China
Eric van Heck Netherlands
Oliver Müller Germany
Stefan Debortoli Liechtenstein
Anteneh Ayanso Canada
Vasudeva Akula relative to Xin Tian United States Xin Tian's profile →
Citations per field
00.5×1.5×2.5×
Xin Tian · 1×
Citations per year

Countries citing papers authored by Vasudeva Akula

Since Specialization
Citations

This map shows the geographic impact of Vasudeva Akula'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 Vasudeva Akula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasudeva Akula more than expected).

Fields of papers citing papers by Vasudeva Akula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vasudeva Akula. 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 Vasudeva Akula. The network helps show where Vasudeva Akula may publish in the future.

Co-authorship network of co-authors of Vasudeva Akula

This figure shows the co-authorship network connecting the top 25 collaborators of Vasudeva Akula. A scholar is included among the top collaborators of Vasudeva Akula 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 Vasudeva Akula. Vasudeva Akula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 17
2 64
3 113
4 24
5 93
6
Mining Online Hotel Reviews: A Case Study from Hotels in China
19
7 25
8 85
9 163
10 1
11
Workload characterization and business-oriented performance improvement techniques for online auction sites
0
12 4
13 1
14 1
15 11
16 4
17 9

About Vasudeva Akula

Vasudeva Akula is a scholar working on Management Information Systems, Management Science and Operations Research and Marketing, having authored 17 papers that have together received 634 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Auction Theory and Applications (4 papers). The work is most often cited by research in Marketing (146 citations), Management Information Systems (120 citations) and Information Systems and Management (72 citations). Vasudeva Akula has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Wu He, Gongjun Yan, Jiancheng Shen, Xin Tian, Feng‐Kwei Wang, Harris Wu, Weidong Zhang, Ran Tao, Daniel A. Menascé and Yaohang Li. Their work appears in journals such as Information & Management, Journal of Knowledge Management and Industrial Management & Data Systems.

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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