Abinash Tripathy

1.0k total citations · 1 hit paper
14 papers, 682 citations indexed

About

Abinash Tripathy is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Abinash Tripathy has authored 14 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and 3 papers in Management Science and Operations Research. Recurrent topics in Abinash Tripathy's work include Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (6 papers) and Spam and Phishing Detection (5 papers). Abinash Tripathy is often cited by papers focused on Sentiment Analysis and Opinion Mining (9 papers), Advanced Text Analysis Techniques (6 papers) and Spam and Phishing Detection (5 papers). Abinash Tripathy collaborates with scholars based in India. Abinash Tripathy's co-authors include Santanu Kumar Rath, A.K. Agrawal, Abhishek Anand, Virender Kadyan, Utpal Chandra De, Sudhansu Shekhar Patra, Thipendra P. Singh, Bibhuti Bhusan Dash, Binod Kumar Pattanayak and Minakhi Rout and has published in prestigious journals such as Expert Systems with Applications, Multimedia Tools and Applications and Knowledge and Information Systems.

In The Last Decade

Abinash Tripathy

10 papers receiving 637 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of sentiment reviews using n-gram machine learning approach

2016 417 citations Abinash Tripathy, A.K. Agrawal et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abinash Tripathy India	5	589	220	82	74	28	14	682
Shuguang Han United States	14	312 0.5×	307 1.4×	35 0.4×	55 0.7×	55 2.0×	58	618
Tim Donkers Germany	8	292 0.5×	301 1.4×	48 0.6×	70 0.9×	93 3.3×	19	469
Wenxuan Zhang Hong Kong	14	747 1.3×	138 0.6×	49 0.6×	33 0.4×	56 2.0×	52	867
Yuanchao Liu China	11	474 0.8×	180 0.8×	76 0.9×	21 0.3×	71 2.5×	56	592
Manolis G. Vozalis Greece	6	291 0.5×	281 1.3×	92 1.1×	58 0.8×	94 3.4×	8	506
Rahul Pandey United States	4	319 0.5×	222 1.0×	65 0.8×	42 0.6×	79 2.8×	11	465
Nathalie Aussenac-Gilles France	13	374 0.6×	193 0.9×	36 0.4×	31 0.4×	27 1.0×	42	487
Moch Arif Bijaksana Indonesia	9	297 0.5×	169 0.8×	35 0.4×	31 0.4×	20 0.7×	87	425
Aminu Da’u Malaysia	9	361 0.6×	368 1.7×	69 0.8×	53 0.7×	108 3.9×	15	584

Countries citing papers authored by Abinash Tripathy

Since Specialization

Citations

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

Fields of papers citing papers by Abinash Tripathy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abinash Tripathy

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

All Works

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14 of 14 papers shown

1.

Tripathy, Abinash, et al.. (2024). Sentiment Classification of Reviews using Combination of Flower Pollination Algorithm and ANN. 1. 929–934.

2.

Prakash, Ravi, et al.. (2024). Skin Cancer Diagnosis using Deep Learning, Transfer Learning and Hybrid Model. 90–95. 1 indexed citations

3.

Tripathy, Abinash, et al.. (2023). Sentiment analysis of reviews using Nature Inspired PSO and ANN. 1–6. 1 indexed citations

4.

Tripathy, Abinash, et al.. (2023). Sentiment clustering using the unsupervised machine learning approach. 1. 397–402. 1 indexed citations

5.

Tripathy, Abinash, et al.. (2023). Sentiment classification of reviews using combination of Firefly Algorithm and ANN. 114–119.

6.

Kadyan, Virender, et al.. (2022). Developing sequentially trained robust Punjabi speech recognition system under matched and mismatched conditions. Complex & Intelligent Systems. 9(1). 1–23. 3 indexed citations

7.

Tripathy, Abinash, Abhishek Anand, & Virender Kadyan. (2022). Sentiment classification of movie reviews using GA and NeuroGA. Multimedia Tools and Applications. 82(6). 7991–8011. 10 indexed citations

8.

Tripathy, Abinash, et al.. (2019). Building Intelligent Conveyor System using classification techniques in a logistics Industry. International Journal of Engineering and Advanced Technology. 8(6). 2116–2121.

9.

Tripathy, Abinash, Abhishek Anand, & Santanu Kumar Rath. (2017). Document-level sentiment classification using hybrid machine learning approach. Knowledge and Information Systems. 53(3). 805–831. 79 indexed citations

10.

Tripathy, Abinash, A.K. Agrawal, & Santanu Kumar Rath. (2016). Classification of sentiment reviews using n-gram machine learning approach. Expert Systems with Applications. 57. 117–126. 417 indexed citations breakdown →

11.

Tripathy, Abinash & Santanu Kumar Rath. (2016). Classification of Sentiment of Reviews using Supervised Machine Learning Techniques. 4(1). 56–74. 20 indexed citations

12.

Tripathy, Abinash & Santanu Kumar Rath. (2015). Object Oriented Analysis using Natural Language Processing concepts: A\n Review. arXiv (Cornell University).

13.

Tripathy, Abinash, A.K. Agrawal, & Santanu Kumar Rath. (2015). Classiﬁcation of Sentimental Reviews Using Machine Learning Techniques. Procedia Computer Science. 57. 821–829. 146 indexed citations

14.

Tripathy, Abinash & Santanu Kumar Rath. (2014). Application of Natural Language Processing in Object Oriented Software Development. 1–7. 4 indexed citations

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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