Chumki Basu

1.3k total citations · 1 hit paper
22 papers, 807 citations indexed

About

Chumki Basu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chumki Basu has authored 22 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chumki Basu's work include Recommender Systems and Techniques (4 papers), Topic Modeling (3 papers) and Advanced Database Systems and Queries (3 papers). Chumki Basu is often cited by papers focused on Recommender Systems and Techniques (4 papers), Topic Modeling (3 papers) and Advanced Database Systems and Queries (3 papers). Chumki Basu collaborates with scholars based in United States, India and Canada. Chumki Basu's co-authors include Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning, Brian D. Davison, Sébastien Guillon, Innocent Kamwa, Chung‐Min Chen, Sankar K. Pal, Deva P. Seetharam and Jagabondhu Hazra and has published in prestigious journals such as Communications of the ACM, Pattern Recognition Letters and IBM Journal of Research and Development.

In The Last Decade

Chumki Basu

20 papers receiving 716 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.

Recommendation as classification: using social and content-based information in recommendation

1998 584 citations Chumki Basu, Haym Hirsh et al. National Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chumki Basu United States	8	621	304	228	126	123	22	807
Alex Tuzhilin United States	4	676 1.1×	247 0.8×	317 1.4×	148 1.2×	154 1.3×	9	871
Larry Stead United States	9	613 1.0×	302 1.0×	282 1.2×	136 1.1×	170 1.4×	10	988
Georges Dupret United States	14	553 0.9×	283 0.9×	142 0.6×	85 0.7×	79 0.6×	28	818
Heung-Nam Kim Canada	13	482 0.8×	223 0.7×	207 0.9×	80 0.6×	139 1.1×	44	754
Azin Ashkan Canada	13	669 1.1×	452 1.5×	192 0.8×	124 1.0×	213 1.7×	22	1.0k
Cihan Kaleli Türkiye	12	666 1.1×	457 1.5×	178 0.8×	57 0.5×	123 1.0×	29	854
Wensi Xi United States	10	810 1.3×	510 1.7×	292 1.3×	106 0.8×	168 1.4×	17	1.1k
Haggai Roitman Israel	19	402 0.6×	478 1.6×	142 0.6×	130 1.0×	124 1.0×	75	869
Haifeng Liu China	12	582 0.9×	353 1.2×	259 1.1×	50 0.4×	125 1.0×	33	834
Dhruv Gupta Germany	8	765 1.2×	404 1.3×	300 1.3×	142 1.1×	171 1.4×	27	1.1k

Countries citing papers authored by Chumki Basu

Since Specialization

Citations

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

Fields of papers citing papers by Chumki Basu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chumki Basu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Basu, Chumki, et al.. (2019). Generating targeted e-mail at scale using neural machine translation. 1–11. 1 indexed citations

2.

Basu, Chumki, Laura Dietz, & Christiane Fellbaum. (2018). WordNetContext: Information Retrieval-friendly Access to WordNet Senses.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 63–64. 1 indexed citations

3.

Basu, Chumki, et al.. (2016). Situational awareness for the electrical power grid. IBM Journal of Research and Development. 60(1). 10:1–10:11. 13 indexed citations

4.

Basu, Chumki, et al.. (2015). Combining multiple sources of data for situational awareness of geomagnetic disturbances. 1–5. 5 indexed citations

5.

Basu, Chumki, Ankit Agrawal, Jagabondhu Hazra, et al.. (2014). Understanding events for wide-area situational awareness. 19. 1–5. 9 indexed citations

6.

Basu, Chumki, Kaushik Das, Jagabondhu Hazra, & Deva P. Seetharam. (2013). Enhancing wide-area monitoring and control with intelligent alarm handling. 1–5. 3 indexed citations

7.

Basu, Chumki, Jagabondhu Hazra, Kaushik Das, & Deva P. Seetharam. (2013). Real-time alarm management system for wide-area monitoring. 1–6.

8.

Sadagić, Amela, Mathias Kölsch, Greg Welch, et al.. (2013). Smart instrumented training ranges: bringing automated system solutions to support critical domain needs. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 10(3). 327–342. 6 indexed citations

9.

Rowe, Neil C., et al.. (2010). AUTOMATED ASSESSMENT OF PHYSICAL-MOTION TASKS FOR MILITARY INTEGRATIVE TRAINING. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 190–195.

10.

Basu, Chumki, Neil C. Rowe, Herman Towles, et al.. (2009). New Generation of Instrumented Ranges: Enabling Automated Performance Analysis. 6 indexed citations

11.

Cheng, Hui, David Butler, & Chumki Basu. (2006). ViTex: Video To Tex and Its Application in Aerial Video Surveillance. 1. 586–593. 2 indexed citations

12.

Alonso, Rafael, Jeffrey A. Bloom, Hua Li, & Chumki Basu. (2003). An adaptive nearest neighbor search for a parts acquisition ePortal. 693–698. 4 indexed citations

13.

Chen, Chung‐Min, et al.. (2002). Telcordia LSI Engine: implementation and scalability issues. 24. 51–58. 18 indexed citations

14.

Chen, Chung‐Min, et al.. (2001). Telcordia LSI Engine: Implementation Scalability and Issues. 51–58. 2 indexed citations

15.

Basu, Chumki, Haym Hirsh, William W. Cohen, & Craig G. Nevill-Manning. (2001). Technical Paper Recommendation: A Study in Combining Multiple Information Sources. Journal of Artificial Intelligence Research. 14. 231–252. 79 indexed citations

16.

Hirsh, Haym, Chumki Basu, & Brian D. Davison. (2000). Learning to personalize. Communications of the ACM. 43(8). 102–106. 51 indexed citations

17.

Basu, Chumki, Haym Hirsh, & William W. Cohen. (1998). Recommendation as classification: using social and content-based information in recommendation. National Conference on Artificial Intelligence. 714–720. 584 indexed citations breakdown →

18.

Basu, Chumki, et al.. (1996). Data fusion of machine-learning methods for the TREC5 routing task (and other work). Text REtrieval Conference. 477–487. 6 indexed citations

19.

Shah, Kshitij, et al.. (1995). Putting legacy data on the Web: a repository definition language. Computer Networks and ISDN Systems. 27(6). 939–951. 7 indexed citations

20.

Pal, Sankar K., et al.. (1988). Dynamic guard zone for self-supervised learning. Pattern Recognition Letters. 7(3). 135–144. 8 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.

Explore authors with similar magnitude of impact