Amey Kulkarni
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Tinoosh MohseninYoungok PinoJeffrey D. TewJerrold W. GrossmanPeter ShiBaruch CahlonDarrell SchmidtAdam Page
- Topics
- Advanced Memory and Neural Computing (9 papers)Sparse and Compressive Sensing Techniques (7 papers)Supply Chain and Inventory Management (5 papers)
- Journals
- Renewable and Sustainable Energy ReviewsEuropean Journal of Operational ResearchSensors and Actuators B Chemical
- Partner nations
- United StatesIndiaPoland
In The Last Decade
Amey Kulkarni
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Electrical and Electronic Engineering 344
- Hardware and Architecture 187
- Computer Vision and Pattern Recognition 169
- Computational Theory and Mathematics 154
- Artificial Intelligence 145
Countries citing papers authored by Amey Kulkarni
This map shows the geographic impact of Amey Kulkarni'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 Amey Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amey Kulkarni more than expected).
Fields of papers citing papers by Amey Kulkarni
This network shows the impact of papers produced by Amey Kulkarni. 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 Amey Kulkarni. The network helps show where Amey Kulkarni may publish in the future.
Co-authorship network of co-authors of Amey Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Amey Kulkarni. A scholar is included among the top collaborators of Amey Kulkarni 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 Amey Kulkarni. Amey Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 40 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 93 | |
| 7 | 43 | |
| 8 | 7 | |
| 9 | 56 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 78 | |
| 14 | 48 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 26 | |
| 18 | 89 | |
| 19 | 29 | |
| 20 | 17 |
About Amey Kulkarni
Amey Kulkarni is a scholar working on Discrete Mathematics and Combinatorics, Numerical Analysis and Algebra and Number Theory, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (9 papers), Sparse and Compressive Sensing Techniques (7 papers) and Supply Chain and Inventory Management (5 papers). The work is most often cited by research in Hardware and Architecture (187 citations), Discrete Mathematics and Combinatorics (83 citations) and Geometry and Topology (132 citations). Amey Kulkarni has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Tinoosh Mohsenin, Youngok Pino, Jeffrey D. Tew, Jerrold W. Grossman, Peter Shi, Baruch Cahlon, Darrell Schmidt, Adam Page, Y. Narahari and R.B. Bapat. Their work appears in journals such as Renewable and Sustainable Energy Reviews, European Journal of Operational Research and Sensors and Actuators B Chemical.
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.