Amol Ghoting

1.7k citations
37 papers · 1.2k · h-index 16

Impact in

    • Data Management and Algorithms
    • Anomaly Detection Techniques and Applications
    • Data Stream Mining Techniques
    • Imbalanced Data Classification Techniques

Papers in

Amol Ghoting

36 papers receiving 1.1k citations

Peers

Amol Ghoting
Comparison fields: 5 of 88
  • Signal Processing 266
  • Artificial Intelligence 765
  • Computer Networks and Communications 450
  • Information Systems 354
  • Hardware and Architecture 106
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Citations per field
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Citations per year

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-authors

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.

Border = papers with Amol Ghoting Line = papers co-authored together Amol Ghoting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011212
2 2006184
3 2008140
4 201394
5 200567
6 201253
7 201145
8 200645
9
Cache-conscious frequent pattern mining on a modern processor
200543
10 200341
11 200637
12 200634
13 201930
14 200925
15 200720
16 200918
17 201216
18 202415
19
Analysis of haptic data for sign language recognition.
200113
20 200511

About Amol Ghoting

Amol Ghoting is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications and Hardware and Architecture, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Algorithms and Data Compression (8 papers), Data Stream Mining Techniques (7 papers), Data Management and Algorithms (7 papers), Advanced Database Systems and Queries (5 papers), Network Packet Processing and Optimization (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Signal Processing (266 citations), Artificial Intelligence (765 citations), Computer Networks and Communications (450 citations), Information Systems (354 citations) and Hardware and Architecture (106 citations). Amol Ghoting has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Srinivasan Parthasarathy, Matthew Eric Otey, Edwin Pednault, Vikas Sindhwani, Shirish Tatikonda, Gregory Buehrer, Berthold Reinwald, Yuanyuan Tian, Shivakumar Vaithyanathan and Rajasekar Krishnamurthy. Their work appears in journals such as Data Mining and Knowledge Discovery, ACM Transactions on Database Systems, Journal of Biomedical Informatics, IBM Journal of Research and Development 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.

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