Vineet Chaoji

2.2k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Vineet Chaoji is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Vineet Chaoji has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Vineet Chaoji's work include Complex Network Analysis Techniques (7 papers), Data Management and Algorithms (7 papers) and Advanced Clustering Algorithms Research (5 papers). Vineet Chaoji is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Data Management and Algorithms (7 papers) and Advanced Clustering Algorithms Research (5 papers). Vineet Chaoji collaborates with scholars based in United States, United Kingdom and India. Vineet Chaoji's co-authors include Mohammed J. Zaki, Saeed Salem, Mohammad Al Hasan, Hilmi Yıldırım, Rushi Bhatt, Rajeev Rastogi, Medha Atre, James Hendler, Sayan Ranu and Rajesh Parekh and has published in prestigious journals such as PLoS ONE, Pattern Recognition Letters and Proceedings of the VLDB Endowment.

In The Last Decade

Vineet Chaoji

25 papers receiving 1.2k citations

Hit Papers

Link prediction using sup... 2006 2026 2012 2019 2006 100 200 300 400 500
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.

  1. Link prediction using supervised learning
    2006 539 citations Mohammad Al Hasan, Vineet Chaoji et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vineet Chaoji United States 14 653 558 294 283 218 26 1.2k
Chaokun Wang China 19 613 0.9× 354 0.6× 375 1.3× 452 1.6× 189 0.9× 115 1.4k
Nan Du United States 22 671 1.0× 468 0.8× 155 0.5× 340 1.2× 115 0.5× 90 1.6k
Yanghua Xiao China 23 1.3k 1.9× 466 0.8× 413 1.4× 445 1.6× 217 1.0× 168 2.1k
Fan Jiang China 19 562 0.9× 175 0.3× 199 0.7× 458 1.6× 314 1.4× 101 1.3k
Juan-Carlos Cubero Spain 16 625 1.0× 368 0.7× 278 0.9× 307 1.1× 316 1.4× 68 1.1k
Panagiotis Symeonidis Greece 23 853 1.3× 376 0.7× 212 0.7× 1.1k 3.9× 181 0.8× 68 1.8k
Xianchao Zhang China 23 1.0k 1.6× 191 0.3× 157 0.5× 303 1.1× 125 0.6× 121 1.9k
Yuan Fang China 28 1.3k 2.0× 357 0.6× 205 0.7× 600 2.1× 321 1.5× 144 2.5k
Lejian Liao China 20 784 1.2× 156 0.3× 213 0.7× 569 2.0× 84 0.4× 123 1.3k
Pinghui Wang China 15 477 0.7× 234 0.4× 275 0.9× 128 0.5× 105 0.5× 94 922

Countries citing papers authored by Vineet Chaoji

Since Specialization
Citations

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

Fields of papers citing papers by Vineet Chaoji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vineet Chaoji

This figure shows the co-authorship network connecting the top 25 collaborators of Vineet Chaoji. A scholar is included among the top collaborators of Vineet Chaoji 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 Vineet Chaoji. Vineet Chaoji 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
1.
Chaoji, Vineet, et al.. (2024). Scaling Use-case Based Shopping using LLMs. 1165–1166. 1 indexed citations
2.
Chaoji, Vineet, et al.. (2022). MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 3381–3390. 2 indexed citations
3.
Chaoji, Vineet, et al.. (2022). ASPIRE. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 3584–3592. 2 indexed citations
4.
Chaoji, Vineet, Rajeev Rastogi, & Gourav Roy. (2016). Machine learning in the real world. Proceedings of the VLDB Endowment. 9(13). 1597–1600. 15 indexed citations
5.
Szymański, Bolesław K., et al.. (2013). DOCUMENT CLUSTERING WITH BURSTY INFORMATION. Computing and Informatics / Computers and Artificial Intelligence. 31. 1533–1555. 4 indexed citations
6.
Natarajan, Nagarajan, Prithviraj Sen, & Vineet Chaoji. (2013). Community detection in content-sharing social networks. 82–89. 22 indexed citations
7.
Chaoji, Vineet, Sayan Ranu, Rajeev Rastogi, & Rushi Bhatt. (2012). Recommendations to boost content spread in social networks. 529–538. 84 indexed citations
8.
Yıldırım, Hilmi, Vineet Chaoji, & Mohammed J. Zaki. (2011). GRAIL: a scalable index for reachability queries in very large graphs. The VLDB Journal. 21(4). 509–534. 54 indexed citations
9.
Chaoji, Vineet, Geng Li, Hilmi Yıldırım, & Mohammed J. Zaki. (2011). ABACUS: Mining Arbitrary Shaped Clusters from Large Datasets based on Backbone Identification. 295–306. 13 indexed citations
10.
Chaoji, Vineet, et al.. (2010). Recursive data mining for role identification in electronic communications. International Journal of Hybrid Intelligent Systems. 7(2). 89–100. 3 indexed citations
11.
Atre, Medha, Vineet Chaoji, Mohammed J. Zaki, & James Hendler. (2010). Matrix "Bit" loaded. 41–50. 100 indexed citations
12.
Chaoji, Vineet, et al.. (2010). I-FAC: Efficient Fuzzy Associative Classifier for Object Classes in Images. 2. 4388–4391. 4 indexed citations
13.
Chaoji, Vineet, Dony Maiguel, Mohd Hafeez Faridi, et al.. (2009). Proteomic and Phospho-Proteomic Profile of Human Platelets in Basal, Resting State: Insights into Integrin Signaling. PLoS ONE. 4(10). e7627–e7627. 124 indexed citations
14.
Hasan, Mohammad Al, Vineet Chaoji, Saeed Salem, & Mohammed J. Zaki. (2009). Robust partitional clustering by outlier and density insensitive seeding. Pattern Recognition Letters. 30(11). 994–1002. 43 indexed citations
15.
Chaoji, Vineet, Mohammad Al Hasan, Saeed Salem, & Mohammed J. Zaki. (2009). SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters. Knowledge and Information Systems. 21(2). 201–229. 20 indexed citations
16.
Chaoji, Vineet, Mohammad Al Hasan, Saeed Salem, & Mohammed J. Zaki. (2008). An integrated, generic approach to pattern mining: data mining template library. Data Mining and Knowledge Discovery. 17(3). 457–495. 21 indexed citations
17.
Chaoji, Vineet, Mohammad Al Hasan, Saeed Salem, & Mohammed J. Zaki. (2008). SPARCL: Efficient and Effective Shape-Based Clustering. 93–102. 20 indexed citations
18.
Chaoji, Vineet, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, & Mohammed J. Zaki. (2008). ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns. Statistical Analysis and Data Mining The ASA Data Science Journal. 1(2). 67–84. 20 indexed citations
19.
Chaoji, Vineet, et al.. (2004). VENUS: A System for Novelty Detection in Video Streams with Learning.. The Florida AI Research Society. 232–238. 6 indexed citations
20.
Chaoji, Vineet, et al.. (2004). Detection of inconsistent regions in video streams. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5292. 202–202. 7 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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