Kris Ganjam

1.0k total citations
16 papers, 686 citations indexed

About

Kris Ganjam is a scholar working on Management Science and Operations Research, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kris Ganjam has authored 16 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 9 papers in Information Systems and 8 papers in Computer Networks and Communications. Recurrent topics in Kris Ganjam's work include Data Quality and Management (14 papers), Web Data Mining and Analysis (7 papers) and Advanced Database Systems and Queries (7 papers). Kris Ganjam is often cited by papers focused on Data Quality and Management (14 papers), Web Data Mining and Analysis (7 papers) and Advanced Database Systems and Queries (7 papers). Kris Ganjam collaborates with scholars based in United States, United Kingdom and Canada. Kris Ganjam's co-authors include Surajit Chaudhuri, Rajeev Motwani, Venkatesh Ganti, Kaushik Chakrabarti, Mohamed Yakout, Yeye He, Xu Chu, Vivek Narasayya, Xu Chu and Yudian Zheng and has published in prestigious journals such as Proceedings of the VLDB Endowment and IEEE Data(base) Engineering Bulletin.

In The Last Decade

Kris Ganjam

16 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kris Ganjam United States 11 466 376 347 248 213 16 686
Yeye He United States 19 432 0.9× 580 1.5× 323 0.9× 216 0.9× 179 0.8× 47 897
David Menestrina United States 9 535 1.1× 412 1.1× 387 1.1× 322 1.3× 116 0.5× 11 762
Xibei Jia United Kingdom 9 748 1.6× 601 1.6× 388 1.1× 433 1.7× 192 0.9× 12 980
Anuradha Bhamidipaty India 7 424 0.9× 352 0.9× 237 0.7× 129 0.5× 100 0.5× 27 568
Héléna Galhardas Portugal 8 341 0.7× 223 0.6× 221 0.6× 251 1.0× 109 0.5× 33 514
Ekaterini Ioannou Germany 11 348 0.7× 297 0.8× 198 0.6× 120 0.5× 61 0.3× 25 444
George Papastefanatos Greece 11 248 0.5× 311 0.8× 161 0.5× 159 0.6× 44 0.2× 57 436
Arvid Heise Germany 10 170 0.4× 213 0.6× 271 0.8× 262 1.1× 72 0.3× 12 502
Vasilis Efthymiou Greece 12 282 0.6× 341 0.9× 155 0.4× 86 0.3× 28 0.1× 32 450

Countries citing papers authored by Kris Ganjam

Since Specialization
Citations

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

Fields of papers citing papers by Kris Ganjam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kris Ganjam

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

All Works

16 of 16 papers shown
1.
He, Yeye, Kris Ganjam, Yue Wang, et al.. (2018). Transform-Data-by-Example (TDE). 1785–1788. 13 indexed citations
2.
He, Yeye, Xu Chu, Kris Ganjam, et al.. (2018). Transform-data-by-example (TDE). Proceedings of the VLDB Endowment. 11(10). 1165–1177. 36 indexed citations
3.
Li, Keqian, Yeye He, & Kris Ganjam. (2017). Discovering Enterprise Concepts Using Spreadsheet Tables. 1873–1882. 7 indexed citations
4.
He, Hua, et al.. (2017). An Insight Extraction System on BioMedical Literature with Deep Neural Networks. 2691–2701. 5 indexed citations
5.
Chakrabarti, Kaushik, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, & Yeye He. (2016). Data services leveraging Bing's data assets.. IEEE Data(base) Engineering Bulletin. 39. 15–28. 18 indexed citations
6.
Wang, Chi, Kaushik Chakrabarti, Yeye He, et al.. (2015). Concept Expansion Using Web Tables. 1198–1208. 25 indexed citations
7.
Chu, Xu, Yeye He, Kaushik Chakrabarti, & Kris Ganjam. (2015). TEGRA. 1713–1728. 24 indexed citations
8.
He, Yeye, Kris Ganjam, & Xu Chu. (2015). SEMA-JOIN. Proceedings of the VLDB Endowment. 8(12). 1358–1369. 22 indexed citations
9.
Chakrabarti, Kaushik, et al.. (2014). Expansion of Tail Concept Using Web Tables. 1 indexed citations
10.
Arasu, Arvind, Surajit Chaudhuri, Zhi‐Min Chen, et al.. (2012). Experiences with using Data Cleaning Technology for Bing Services.. IEEE Data(base) Engineering Bulletin. 35. 14–23. 1 indexed citations
11.
Yakout, Mohamed, Kris Ganjam, Kaushik Chakrabarti, & Surajit Chaudhuri. (2012). InfoGather. 97–108. 150 indexed citations
12.
Arasu, Arvind, Surajit Chaudhuri, Zhi‐Min Chen, et al.. (2011). Towards a Domain Independent Platform for Data Cleaning.. IEEE Data(base) Engineering Bulletin. 34. 43–50. 6 indexed citations
13.
Arasu, Arvind, Surajit Chaudhuri, Kris Ganjam, & Raghav Kaushik. (2008). Incorporating string transformations in record matching. 1231–1234. 11 indexed citations
14.
Chaudhuri, Surajit, et al.. (2005). Data cleaning in microsoft SQL server 2005. 918–920. 24 indexed citations
15.
Chaudhuri, Surajit, Kris Ganjam, Venkatesh Ganti, & Rajeev Motwani. (2003). Robust and efficient fuzzy match for online data cleaning. 23 indexed citations
16.
Chaudhuri, Surajit, Kris Ganjam, Venkatesh Ganti, & Rajeev Motwani. (2003). Robust and efficient fuzzy match for online data cleaning. 313–324. 320 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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