Arun K. Pujari

2.7k total citations · 1 hit paper
83 papers, 1.6k citations indexed

About

Arun K. Pujari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Arun K. Pujari has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 23 papers in Computer Networks and Communications. Recurrent topics in Arun K. Pujari's work include Data Management and Algorithms (14 papers), Image Retrieval and Classification Techniques (13 papers) and Recommender Systems and Techniques (11 papers). Arun K. Pujari is often cited by papers focused on Data Management and Algorithms (14 papers), Image Retrieval and Classification Techniques (13 papers) and Recommender Systems and Techniques (11 papers). Arun K. Pujari collaborates with scholars based in India, Australia and Taiwan. Arun K. Pujari's co-authors include Vineet Padmanabhan, Vikas Kumar, Sanjay Rawat, Alok Sharma, Kuldip K. Paliwal, Malay Kishore Dutta, B. L. Deekshatulu, C. S. Sastry, M. Sreenivasa Rao and Abdul Sattar and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Arun K. Pujari

79 papers receiving 1.4k citations

Hit Papers

align trajectories sort by overperformance

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arun K. Pujari India	18	706	592	358	356	323	83	1.6k
Richi Nayak Australia	23	810 1.1×	729 1.2×	316 0.9×	241 0.7×	235 0.7×	180	1.7k
Tahar Kechadi Ireland	25	674 1.0×	928 1.6×	466 1.3×	421 1.2×	517 1.6×	226	2.5k
Vincent S. Tseng Taiwan	21	368 0.5×	515 0.9×	242 0.7×	348 1.0×	582 1.8×	41	1.5k
Asma Belhadi Norway	24	783 1.1×	460 0.8×	346 1.0×	192 0.5×	254 0.8×	76	1.5k
Zhiang Wu China	25	759 1.1×	710 1.2×	360 1.0×	216 0.6×	130 0.4×	92	1.6k
Sergio Ramírez‐Gallego Spain	16	933 1.3×	363 0.6×	224 0.6×	216 0.6×	168 0.5×	21	1.7k
Zhaohui Zheng United States	22	1.3k 1.9×	1.2k 2.0×	275 0.8×	463 1.3×	259 0.8×	55	2.4k
Md. Nasir Sulaiman Malaysia	19	513 0.7×	341 0.6×	382 1.1×	314 0.9×	167 0.5×	138	1.5k
Eduardo R. Hruschka Brazil	27	2.4k 3.4×	708 1.2×	213 0.6×	643 1.8×	523 1.6×	80	3.2k
Sadok Ben Yahia Tunisia	19	612 0.9×	618 1.0×	336 0.9×	144 0.4×	238 0.7×	188	1.6k

Countries citing papers authored by Arun K. Pujari

Since Specialization

Citations

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

Fields of papers citing papers by Arun K. Pujari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun K. Pujari. 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 Arun K. Pujari. The network helps show where Arun K. Pujari may publish in the future.

Co-authorship network of co-authors of Arun K. Pujari

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

All Works

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20 of 20 papers shown

1.

Kumar, Vikas, et al.. (2023). Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization. Expert Systems with Applications. 238. 121967–121967. 4 indexed citations

2.

Pujari, Arun K., et al.. (2022). Inductive conformal recommender system. Knowledge-Based Systems. 250. 109108–109108. 1 indexed citations

3.

Pujari, Arun K., et al.. (2021). Committee Selection using Attribute Approvals. Autonomous Agents and Multi-Agent Systems. 683–691. 1 indexed citations

4.

Kumar, Vikas, et al.. (2016). Collaborative filtering using multiple binary maximum margin matrix factorizations. Information Sciences. 380. 1–11. 42 indexed citations

5.

Pujari, Arun K., et al.. (2016). Bounds on skyline probability for databases with uncertain preferences. International Journal of Approximate Reasoning. 80. 199–213. 3 indexed citations

6.

Padmanabhan, Vineet, et al.. (2015). Topic Modelling for Songs. 16. 130–135. 1 indexed citations

7.

Pujari, Arun K., et al.. (2014). Collaborative filtering by PSO-based MMMF. 569–574. 11 indexed citations

8.

Pujari, Arun K., et al.. (2009). Opportunistic Consensus Clustering.. 543–549. 1 indexed citations

9.

Bapi, Raju S., et al.. (2007). A tighter error bound for decision tree learning using PAC learnability. International Joint Conference on Artificial Intelligence. 1011–1016. 3 indexed citations

10.

Rawat, Sanjay, et al.. (2006). Intrusion Detection Using Text Processing Techniques with a Binary-Weighted Cosine Metric. Explore Bristol Research. 1(1). 43–50. 28 indexed citations

11.

Dutta, Malay Kishore, et al.. (2005). QROCK: A quick version of the ROCK algorithm for clustering of categorical data. Pattern Recognition Letters. 26(15). 2364–2373. 41 indexed citations

12.

Bhagvati, Chakravarthy, et al.. (2005). Texture element feature characterizations for CBIR. 2. 733–736. 13 indexed citations

13.

Bhagvati, Chakravarthy, et al.. (2004). Bitplane Based Area Morphology for CBIR.. 575–580. 1 indexed citations

14.

Pujari, Arun K., et al.. (2002). An Adaptive Character Recognizer for Telugu Scripts Using Multiresolution Analysis, Associative Memory.. 12 indexed citations

15.

Rao, M. Sreenivasa & Arun K. Pujari. (1999). Word Sense Disambiguation Using the Hopfield Model of Neural Networks. Journal of Intelligent Systems. 9(3-4). 219–258. 1 indexed citations

16.

Pujari, Arun K. & Abdul Sattar. (1999). A New Framework for Reasoning about Points, Intervals and Durations. International Joint Conference on Artificial Intelligence. 1259–1264. 19 indexed citations

17.

Rao, M. Sreenivasa & Arun K. Pujari. (1999). A NEW NEURAL NETWORK ARCHITECTURE WITH ASSOCIATIVE MEMORY, PRUNING AND ORDER-SENSITIVE LEARNING. International Journal of Neural Systems. 9(4). 351–370. 3 indexed citations

18.

Agarwal, Arun, et al.. (1990). OFF-LINE SHORTHAND RECOGNITION SYSTEM. Machine Vision and Applications. 437–440. 2 indexed citations

19.

Pujari, Arun K., et al.. (1990). Polygonal representation by edge k-d trees. Pattern Recognition Letters. 11(6). 391–394. 1 indexed citations

20.

Pai, Archana, et al.. (1990). Linear octree of a 3D object from 2D silhouettes using segment tree. Pattern Recognition Letters. 11(9). 619–623. 5 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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