Talari Ganesh
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Prachi AgrawalAli Wagdy MohamedHattan F. AbutarboushDiego OlivaArun K. SomaniKhalid A. AlnowibetMeenakshi VenkateswaranAdel Fahad Alrasheedi
- Topics
- GNSS positioning and interference (10 papers)Metaheuristic Optimization Algorithms Research (9 papers)Advanced Frequency and Time Standards (8 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Partner nations
- IndiaEgyptUnited States
In The Last Decade
Talari Ganesh
32 papers receiving 665 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 430
- Computational Theory and Mathematics 120
- Computer Vision and Pattern Recognition 99
- Control and Systems Engineering 68
- Electrical and Electronic Engineering 66
Countries citing papers authored by Talari Ganesh
This map shows the geographic impact of Talari Ganesh'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 Talari Ganesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Talari Ganesh more than expected).
Fields of papers citing papers by Talari Ganesh
This network shows the impact of papers produced by Talari Ganesh. 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 Talari Ganesh. The network helps show where Talari Ganesh may publish in the future.
Co-authorship network of co-authors of Talari Ganesh
This figure shows the co-authorship network connecting the top 25 collaborators of Talari Ganesh. A scholar is included among the top collaborators of Talari Ganesh 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 Talari Ganesh. Talari Ganesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 56 | |
| 7 | Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)breakdown → | 392 |
| 8 | 62 | |
| 9 | 80 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | Forecasting of Monthly Mean Rainfall in Coastal Andhra | 4 |
| 19 | 4 | |
| 20 | 2 |
About Talari Ganesh
Talari Ganesh is a scholar working on Aerospace Engineering, Management Science and Operations Research and Statistics and Probability, having authored 37 papers that have together received 696 indexed citations. Recurring topics across this work include GNSS positioning and interference (10 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Advanced Frequency and Time Standards (8 papers). The work is most often cited by research in Artificial Intelligence (430 citations), Computational Theory and Mathematics (120 citations) and Industrial and Manufacturing Engineering (61 citations). Talari Ganesh has collaborated with scholars based in India, Egypt and United States. Frequent co-authors include Prachi Agrawal, Ali Wagdy Mohamed, Hattan F. Abutarboush, Diego Oliva, Arun K. Somani, Khalid A. Alnowibet, Meenakshi Venkateswaran, Adel Fahad Alrasheedi, Hijaz Ahmad and Amitabha Acharya. Their work appears in journals such as IEEE Access, Neural Computing and Applications and Soft Computing.
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.