Amol Ghoting

1.6k total citations
31 papers, 1.0k citations indexed

About

Amol Ghoting is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Amol Ghoting has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Amol Ghoting's work include Data Mining Algorithms and Applications (8 papers), Algorithms and Data Compression (8 papers) and Data Stream Mining Techniques (5 papers). Amol Ghoting is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Algorithms and Data Compression (8 papers) and Data Stream Mining Techniques (5 papers). Amol Ghoting collaborates with scholars based in United States, France and Italy. Amol Ghoting's co-authors include Srinivasan Parthasarathy, Matthew Eric Otey, Vikas Sindhwani, Edwin Pednault, Shirish Tatikonda, Yuanyuan Tian, Rajasekar Krishnamurthy, Shivakumar Vaithyanathan, Gregory Buehrer and Berthold Reinwald and has published in prestigious journals such as IBM Journal of Research and Development, ACM Transactions on Database Systems and Journal of Biomedical Informatics.

In The Last Decade

Amol Ghoting

30 papers receiving 935 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amol Ghoting United States 16 656 368 297 226 174 31 1.0k
Christopher Jermaine United States 21 763 1.2× 794 2.2× 300 1.0× 669 3.0× 173 1.0× 57 1.4k
Guoqing Xiao China 14 241 0.4× 322 0.9× 141 0.5× 177 0.8× 152 0.9× 55 738
Stuart H. Rubin United States 11 521 0.8× 358 1.0× 187 0.6× 166 0.7× 129 0.7× 120 906
Sheng Ma United States 21 695 1.1× 445 1.2× 419 1.4× 273 1.2× 333 1.9× 56 1.3k
Alin Dobra United States 18 668 1.0× 1.4k 3.8× 289 1.0× 570 2.5× 164 0.9× 51 1.9k
Niels Ferguson Netherlands 6 456 0.7× 269 0.7× 199 0.7× 111 0.5× 309 1.8× 11 808
Stephen Tu United States 10 695 1.1× 539 1.5× 468 1.6× 68 0.3× 122 0.7× 28 1.4k
Shiva Prasad Kasiviswanathan United States 15 1.4k 2.2× 140 0.4× 120 0.4× 130 0.6× 169 1.0× 38 1.6k
Saeed Jalili Iran 18 510 0.8× 252 0.7× 335 1.1× 131 0.6× 135 0.8× 92 981
Shirish Tatikonda United States 17 489 0.7× 452 1.2× 440 1.5× 205 0.9× 435 2.5× 27 982

Countries citing papers authored by Amol Ghoting

Since Specialization
Citations

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

Fields of papers citing papers by Amol Ghoting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amol Ghoting

This figure shows the co-authorship network connecting the top 25 collaborators of Amol Ghoting. A scholar is included among the top collaborators of Amol Ghoting 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 Amol Ghoting. Amol Ghoting 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.
Ghoting, Amol, et al.. (2020). ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications. DSpace@MIT (Massachusetts Institute of Technology). 1. 704–714. 4 indexed citations
2.
Ng, Kenney, Amol Ghoting, Steven R. Steinhubl, et al.. (2013). PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. Journal of Biomedical Informatics. 48. 160–170. 77 indexed citations
3.
Ruan, Yiye, et al.. (2013). Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics.. IEEE Data(base) Engineering Bulletin. 36. 67–76. 2 indexed citations
4.
Sindhwani, Vikas & Amol Ghoting. (2012). Large-scale distributed non-negative sparse coding and sparse dictionary learning. 489–497. 16 indexed citations
5.
Orlando, Salvatore, et al.. (2011). Parallel and Distributed Data Management. Introduction. UPM Digital Archive (Technical University of Madrid). 1 indexed citations
6.
Ghoting, Amol, Prabhanjan Kambadur, Edwin Pednault, & Ramakrishnan Kannan. (2011). NIMBLE. 36 indexed citations
7.
Sindhwani, Vikas, et al.. (2011). Extracting insights from social media with large-scale matrix approximations. IBM Journal of Research and Development. 55(5). 9:1–9:13. 6 indexed citations
8.
Ghoting, Amol & Konstantin Makarychev. (2010). I/O efficient algorithms for serial and parallel suffix tree construction. ACM Transactions on Database Systems. 35(4). 1–37. 3 indexed citations
9.
Ghoting, Amol & Konstantin Makarychev. (2009). Indexing genomic sequences on the IBM Blue Gene. 1–11. 11 indexed citations
10.
Ghoting, Amol, Srinivasan Parthasarathy, & Matthew Eric Otey. (2008). Fast mining of distance-based outliers in high-dimensional datasets. Data Mining and Knowledge Discovery. 16(3). 349–364. 123 indexed citations
11.
Ghoting, Amol, Gregory Buehrer, Shirish Tatikonda, et al.. (2007). Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms. 1–6.
12.
Otey, Matthew Eric, Amol Ghoting, & Srinivasan Parthasarathy. (2006). Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. Data Mining and Knowledge Discovery. 12(2-3). 203–228. 167 indexed citations
13.
Ghoting, Amol, Gregory Buehrer, Srinivasan Parthasarathy, et al.. (2006). Cache-conscious frequent pattern mining on modern and emerging processors. The VLDB Journal. 16(1). 77–96. 40 indexed citations
14.
Buehrer, Gregory, Yen-Kuang Chen, Srinivasan Parthasarathy, et al.. (2006). Efficient pattern mining on shared memory systems. 31–40. 1 indexed citations
15.
Ghoting, Amol, Srinivasan Parthasarathy, & Matthew Eric Otey. (2006). Fast Mining of Distance-Based Outliers in High-Dimensional Datasets. 609–613. 32 indexed citations
16.
Ghoting, Amol, Gregory Buehrer, Srinivasan Parthasarathy, et al.. (2005). Cache-conscious frequent pattern mining on a modern processor. Very Large Data Bases. 577–588. 41 indexed citations
17.
Ghoting, Amol, Gregory Buehrer, Srinivasan Parthasarathy, et al.. (2005). A Characterization of Data Mining Workloads on a Modern Processor.. 5 indexed citations
18.
Wang, Huamin, Amol Ghoting, Gregory Buehrer, et al.. (2005). A Services Oriented Framework for Next Generation Data Analysis Centers. 219b–219b. 3 indexed citations
19.
Otey, Matthew Eric, et al.. (2003). Towards NIC-based intrusion detection. 3 indexed citations
20.
Shahabi, Cyrus, et al.. (2001). Analysis of haptic data for sign language recognition.. International Conference on Human-Computer Interaction. 441–445. 12 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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