Ravi Kishore Kodali
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 2%
- Plant Science top 10%
- Water Science and Technology top 5%
- Information Systems top 5%
- Co-authors
- Lakshmi BoppanaVishal JainB. LakshmiN. V. S. N. SarmaSrikrishna KaranamSudha Ellison Mathe
- Topics
- IoT-based Smart Home Systems (50 papers)Water Quality Monitoring Technologies (24 papers)Energy Efficient Wireless Sensor Networks (18 papers)
- Cited by
- Computer Networks and CommunicationsWater Science and TechnologySafety, Risk, Reliability and Quality
- Journals
- 2022 International Conference on Computer Communication and Informatics (ICCCI)SSRN Electronic Journal
- Partner nations
- India
In The Last Decade
Ravi Kishore Kodali
110 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Electrical and Electronic Engineering 883
- Computer Networks and Communications 575
- Plant Science 282
- Water Science and Technology 265
- Information Systems 236
Countries citing papers authored by Ravi Kishore Kodali
This map shows the geographic impact of Ravi Kishore Kodali'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 Ravi Kishore Kodali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Kishore Kodali more than expected).
Fields of papers citing papers by Ravi Kishore Kodali
This network shows the impact of papers produced by Ravi Kishore Kodali. 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 Ravi Kishore Kodali. The network helps show where Ravi Kishore Kodali may publish in the future.
Co-authorship network of co-authors of Ravi Kishore Kodali
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Kishore Kodali. A scholar is included among the top collaborators of Ravi Kishore Kodali 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 Ravi Kishore Kodali. Ravi Kishore Kodali 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 | 1 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 18 | |
| 6 | 14 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 68 | |
| 12 | 8 | |
| 13 | 202 | |
| 14 | 74 | |
| 15 | 65 | |
| 16 | 5 | |
| 17 | Implementation of Energy Efficient Scalar Point Multiplication Techniques for ECC | 1 |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 0 |
About Ravi Kishore Kodali
Ravi Kishore Kodali is a scholar working on Water Science and Technology, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 118 papers that have together received 1.7k indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (50 papers), Water Quality Monitoring Technologies (24 papers) and Energy Efficient Wireless Sensor Networks (18 papers). The work is most often cited by research in Computer Networks and Communications (575 citations), Water Science and Technology (265 citations) and Safety, Risk, Reliability and Quality (149 citations). Ravi Kishore Kodali has collaborated with scholars based in India. Frequent co-authors include Lakshmi Boppana, Vishal Jain, B. Lakshmi, N. V. S. N. Sarma, Srikrishna Karanam and Sudha Ellison Mathe. Their work appears in journals such as 2022 International Conference on Computer Communication and Informatics (ICCCI) and SSRN Electronic 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.