Amol Ghoting
- Signal Processing top 5%
- Data Management and Algorithms 4
- Artificial Intelligence top 2%
- Algorithms and Data Compression 8
- Data Stream Mining Techniques 5
- Anomaly Detection Techniques and Applications 4
- Hardware and Architecture top 5%
- Network Packet Processing and Optimization 4
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- Advanced Database Systems and Queries 4
- Network Security and Intrusion Detection 4
- Information Systems top 2%
- Data Mining Algorithms and Applications 8
- Co-authors
- Srinivasan ParthasarathyMatthew Eric OteyVikas SindhwaniEdwin PednaultShirish TatikondaYuanyuan TianBerthold ReinwaldShivakumar Vaithyanathan
- Journals
- Data Mining and Knowledge Discovery (2 papers)Journal of Biomedical Informatics (1 paper)IBM Journal of Research and Development (1 paper)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Amol Ghoting
30 papers receiving 935 citations
Peers
Comparison fields: 5 of 87
- Signal Processing 226
- Artificial Intelligence 656
- Hardware and Architecture 109
- Computer Networks and Communications 368
- Information Systems 297
Countries citing papers authored by Amol Ghoting
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
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
The 25 scholars most cited alongside Amol Ghoting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications | 2020 | 4 |
| 2 | 2013 | 77 | |
| 3 | Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics. | 2013 | 2 |
| 4 | 2012 | 16 | |
| 5 | Parallel and Distributed Data Management. Introduction | 2011 | 1 |
| 6 | 2011 | 36 | |
| 7 | 2011 | 6 | |
| 8 | 2009 | 11 | |
| 9 | 2008 | 123 | |
| 10 | 2006 | 1 | |
| 11 | 2006 | 40 | |
| 12 | 2006 | 167 | |
| 13 | 2006 | 32 | |
| 14 | A Characterization of Data Mining Workloads on a Modern Processor. | 2005 | 5 |
| 15 | Cache-conscious frequent pattern mining on a modern processor | 2005 | 41 |
| 16 | 2005 | 3 | |
| 17 | 2005 | 52 | |
| 18 | 2004 | 6 | |
| 19 | 2003 | 3 | |
| 20 | Analysis of haptic data for sign language recognition. | 2001 | 12 |
About Amol Ghoting
Amol Ghoting is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Algorithms and Data Compression (8 papers), Data Stream Mining Techniques (5 papers), Advanced Database Systems and Queries (4 papers), Network Security and Intrusion Detection (4 papers), Network Packet Processing and Optimization (4 papers), Data Management and Algorithms (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (226 citations), Artificial Intelligence (656 citations) and Hardware and Architecture (109 citations). Amol Ghoting has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Srinivasan Parthasarathy, Matthew Eric Otey, Vikas Sindhwani, Edwin Pednault, Shirish Tatikonda, Yuanyuan Tian, Berthold Reinwald, Shivakumar Vaithyanathan, Rajasekar Krishnamurthy and Gregory Buehrer. Their work appears in journals such as Data Mining and Knowledge Discovery, Journal of Biomedical Informatics, IBM Journal of Research and Development, ACM Transactions on Database Systems and The VLDB Journal.
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.