K. Manimala

481 citations
18 papers · 383 · h-index 10

Impact in

Papers in

K. Manimala

17 papers receiving 373 citations

Peers

K. Manimala
Comparison fields: 5 of 86
  • Control and Systems Engineering 121
  • Electrical and Electronic Engineering 224
  • Artificial Intelligence 89
  • Electronic, Optical and Magnetic Materials 40
  • Energy Engineering and Power Technology 6
Replace Muhammad Abubakar with:
Muhammad Abubakar Pakistan
Satyasis Mishra India
Fredy E. Hoyos Colombia
Muhammad Taha Jilani Pakistan
Gaurav Bajpai United States
Alexandru-Ciprian Zăvoianu Austria
Lixiong Xu China
V.P. Sakthivel India
Surekha Bhanot India
Ziling Nie China
K. Manimala relative to Muhammad Abubakar Pakistan Muhammad Abubakar's profile →
Citations per field
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Muhammad Abubakar · 1×
Citations per year

Countries citing papers authored by K. Manimala

Since Specialization
Citations

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

Fields of papers citing papers by K. Manimala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside K. Manimala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Manimala Line = papers co-authored together K. Manimala links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2015146
2 201170
3 201144
4 201616
5 201215
6 201414
7 202013
8 202012
9 200711
10 201411
11
Implementation of Hyperbolic Tangent Activation Function in VLSI
20147
12 20197
13 20095
14 20104
15 20084
16
Detection of Microaneurysms in Color Fundus Images
20153
17 20121
18 20110

About K. Manimala

K. Manimala is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Electronic, Optical and Magnetic Materials and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 383 indexed citations. Recurring topics across this work include Power Quality and Harmonics (10 papers), Neural Networks and Applications (5 papers), Energy Load and Power Forecasting (5 papers), Power Transformer Diagnostics and Insulation (3 papers), Machine Fault Diagnosis Techniques (3 papers), Magnetic Properties and Applications (3 papers), Food Drying and Modeling (2 papers) and Postharvest Quality and Shelf Life Management (1 paper). The work is most often cited by research in Control and Systems Engineering (121 citations), Electrical and Electronic Engineering (224 citations), Artificial Intelligence (89 citations), Electronic, Optical and Magnetic Materials (40 citations) and Energy Engineering and Power Technology (6 citations). K. Manimala has collaborated with scholars based in India and United States. Frequent co-authors include K. Selvi, V. Sadasivam, Heartwin A. Pushpadass, Magdaline Eljeeva Emerald Franklin, M. Manjunatha and B. Surendra Nath. Their work appears in journals such as Applied Soft Computing, Applied Artificial Intelligence, Journal of Food Process Engineering, Soft Computing and Journal of Food Science and Technology.

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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