Atish P. Sinha

2.2k total citations
51 papers, 1.6k citations indexed

About

Atish P. Sinha is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Atish P. Sinha has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 21 papers in Information Systems and 10 papers in Management Science and Operations Research. Recurrent topics in Atish P. Sinha's work include Sentiment Analysis and Opinion Mining (10 papers), Data Mining Algorithms and Applications (7 papers) and Imbalanced Data Classification Techniques (7 papers). Atish P. Sinha is often cited by papers focused on Sentiment Analysis and Opinion Mining (10 papers), Data Mining Algorithms and Applications (7 papers) and Imbalanced Data Classification Techniques (7 papers). Atish P. Sinha collaborates with scholars based in United States, India and Canada. Atish P. Sinha's co-authors include Huimin Zhao, Arun Sen, Mohan Tanniru, Shuyuan Deng, Ritu Agarwal, K. Ramamurthy, Ritu Agarwal, Wei Ge, Jerrold H. May and Gaurav Bansal and has published in prestigious journals such as Communications of the ACM, MIS Quarterly and Expert Systems with Applications.

In The Last Decade

Atish P. Sinha

48 papers receiving 1.5k citations

Peers

Atish P. Sinha
Comparison fields: 5 of 106
  • Artificial Intelligence 655
  • Sociology and Political Science 442
  • Information Systems 430
  • Management Information Systems 369
  • Management Science and Operations Research 262
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Citations per field, relative to Atish P. Sinha
Atish P. Sinha · 1×
Citations per year, relative to Atish P. Sinha
Atish P. Sinha · 1×

Countries citing papers authored by Atish P. Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Atish P. Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Atish P. Sinha. 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 Atish P. Sinha. The network helps show where Atish P. Sinha may publish in the future.

Co-authorship network of co-authors of Atish P. Sinha

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2
Location-sensitive Friend Recommendations in Online Social Networks
2
3
The Interaction between Microblog Sentiment and Stock Return: An Empirical Examination
2
4
Classifying Investor Sentiment in Microblogs: A Transfer Learning Approach
2
5 3
6 3
7 45
8 108
9
Predicting Opinion Leaders in Word-of-Mouth Communities
2
10 13
11 2
12 31
13 17
14 19
15
Indian foreign policy : challenges and opportunities
23
16 157
17 92
18 42
19 14
20 0

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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