Maznah Kamat

22 papers receiving 259 citations

Peers

Maznah Kamat
Comparison fields: 5 of 37
  • Computer Networks and Communications 189
  • Electrical and Electronic Engineering 77
  • Artificial Intelligence 69
  • Cardiology and Cardiovascular Medicine 31
  • Information Systems 25
Replace Julián Fernández-Navajas with:
Julián Fernández-Navajas Spain
Hanhua Chen China
Harsh Sadawarti India
G.Y. Lazarou United States
Sapna Gambhir India
Markus Laner Austria
Lincong Zhang China
Colleen M. Swanson United States
Bruno Trevizan de Oliveira Brazil
Amel Meddeb-Makhlouf Tunisia
Maznah Kamat relative to Julián Fernández-Navajas Spain Julián Fernández-Navajas's profile →
Citations per field
00.5×4.4×
Julián Fernández-Navajas · 1×
Citations per year

Countries citing papers authored by Maznah Kamat

Since Specialization
Citations

This map shows the geographic impact of Maznah Kamat'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 Maznah Kamat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maznah Kamat more than expected).

Fields of papers citing papers by Maznah Kamat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maznah Kamat. 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 Maznah Kamat. The network helps show where Maznah Kamat may publish in the future.

Co-authorship network of co-authors of Maznah Kamat

This figure shows the co-authorship network connecting the top 25 collaborators of Maznah Kamat. A scholar is included among the top collaborators of Maznah Kamat 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 Maznah Kamat. Maznah Kamat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 84
4 12
5 33
6 1
7 3
8 5
9 4
10 1
11
A location based prediction service protocol for VANET city environment
10
12
Fuzzy logic-assisted geographical routing over vehicular ad hoc networks
18
13 2
14 1
15 2
16 4
17 5
18
Sink node mobility in covering monitoring area for data collection in WSNs
0
19 40
20
Electronic Voting System: Preliminary Study
5

About Maznah Kamat

Maznah Kamat is a scholar working on Computer Networks and Communications, Transportation and Electrical and Electronic Engineering, having authored 25 papers that have together received 277 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (11 papers), Opportunistic and Delay-Tolerant Networks (10 papers) and Energy Efficient Wireless Sensor Networks (8 papers). The work is most often cited by research in Computer Networks and Communications (189 citations), Artificial Intelligence (69 citations) and Transportation (12 citations). Maznah Kamat has collaborated with scholars based in Malaysia, United States and Brazil. Frequent co-authors include Kamalrulnizam Abu Bakar, Fuad A. Ghaleb, Babangida Isyaku, Mohd Soperi Mohd Zahid, Mazleena Salleh, Subariah Ibrahim, Shukor Abd Razak, Mohd Foad Rohani, Waldir Moreira and Stephan Olariu. Their work appears in journals such as PLoS ONE, Journal of Network and Computer Applications and Journal of Parallel and Distributed 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.

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