Harika Manem
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Cognitive Neuroscience
- Co-authors
- Garrett S. RoseJeyavijayan RajendranRamesh KarriNathaniel C. CadyKarsten BeckmannWei WangXiaoli HeRobinson E. Pino
- Topics
- Advanced Memory and Neural Computing (13 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Neuroscience and Neural Engineering (8 papers)
- Cited by
- Cellular and Molecular NeuroscienceHardware and ArchitectureElectrical and Electronic Engineering
- Journals
- Proceedings of the IEEEIEEE Transactions on ComputersIEEE Transactions on Circuits and Systems I Regular Papers
- Partner nations
- United StatesRussia
In The Last Decade
Harika Manem
17 papers receiving 540 citations
Peers
Comparison fields: 5 of 22
- Electrical and Electronic Engineering 542
- Cellular and Molecular Neuroscience 313
- Hardware and Architecture 99
- Artificial Intelligence 48
- Cognitive Neuroscience 46
Countries citing papers authored by Harika Manem
This map shows the geographic impact of Harika Manem'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 Harika Manem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harika Manem more than expected).
Fields of papers citing papers by Harika Manem
This network shows the impact of papers produced by Harika Manem. 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 Harika Manem. The network helps show where Harika Manem may publish in the future.
Co-authorship network of co-authors of Harika Manem
This figure shows the co-authorship network connecting the top 25 collaborators of Harika Manem. A scholar is included among the top collaborators of Harika Manem 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 Harika Manem. Harika Manem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 29 | |
| 3 | 60 | |
| 4 | 1 | |
| 5 | 25 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 21 | |
| 9 | 47 | |
| 10 | 71 | |
| 11 | 46 | |
| 12 | 91 | |
| 13 | 35 | |
| 14 | 72 | |
| 15 | A crosstalk minimization technique for sublithographic programmable logic arrays | 1 |
| 16 | NDR based threshold logic fabric with memristive synapses | 11 |
| 17 | 14 | |
| 18 | 2 |
About Harika Manem
Harika Manem is a scholar working on Cellular and Molecular Neuroscience, Hardware and Architecture and Electrical and Electronic Engineering, having authored 18 papers that have together received 549 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (313 citations), Hardware and Architecture (99 citations) and Electrical and Electronic Engineering (542 citations). Harika Manem has collaborated with scholars based in United States and Russia. Frequent co-authors include Garrett S. Rose, Jeyavijayan Rajendran, Ramesh Karri, Nathaniel C. Cady, Karsten Beckmann, Wei Wang, Xiaoli He, Jeyavijayan Rajendran, Robinson E. Pino and Josh Holt. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems I Regular Papers.
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.