K. Manimala

481 total citations
18 papers, 383 citations indexed

About

K. Manimala is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, K. Manimala has authored 18 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 5 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in K. Manimala's work include Power Quality and Harmonics (10 papers), Neural Networks and Applications (5 papers) and Energy Load and Power Forecasting (5 papers). K. Manimala is often cited by papers focused on Power Quality and Harmonics (10 papers), Neural Networks and Applications (5 papers) and Energy Load and Power Forecasting (5 papers). K. Manimala collaborates with scholars based in India and United States. K. Manimala's co-authors include K. Selvi, V. Sadasivam, Heartwin A. Pushpadass, Magdaline Eljeeva Emerald Franklin, M. Manjunatha and B. Surendra Nath and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Journal of Food Science and Technology.

In The Last Decade

K. Manimala

17 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
K. Manimala India	10	224	121	89	40	31	18	383
Muhammad Abubakar Pakistan	12	299 1.3×	163 1.3×	96 1.1×	29 0.7×	12 0.4×	22	483
Satyasis Mishra India	13	140 0.6×	57 0.5×	112 1.3×	9 0.2×	107 3.5×	91	473
Ziling Nie China	9	421 1.9×	150 1.2×	21 0.2×	10 0.3×	56 1.8×	41	610
Muhammad Taha Jilani Pakistan	11	198 0.9×	63 0.5×	73 0.8×	14 0.3×	24 0.8×	31	469
Surekha Bhanot India	12	316 1.4×	277 2.3×	105 1.2×	16 0.4×	37 1.2×	35	486
V.P. Sakthivel India	15	449 2.0×	122 1.0×	148 1.7×	38 0.9×	77 2.5×	64	684
Alexandru-Ciprian Zăvoianu Austria	10	159 0.7×	115 1.0×	125 1.4×	50 1.3×	19 0.6×	26	443
Liangkuan Zhu China	11	69 0.3×	115 1.0×	56 0.6×	5 0.1×	32 1.0×	87	372
Mansour H. Assaf Canada	11	284 1.3×	65 0.5×	31 0.3×	8 0.2×	47 1.5×	82	441
Quansheng Xu China	9	121 0.5×	205 1.7×	49 0.6×	4 0.1×	22 0.7×	27	444

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-authorship network of co-authors of K. Manimala

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

All Works

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18 of 18 papers shown

Manimala, K., et al.. (2020). Implementation of optimized dynamic trajectory modification algorithm to avoid obstacles for secure navigation of UAV. Applied Soft Computing. 90. 106168–106168. 13 indexed citations

Pushpadass, Heartwin A., et al.. (2020). Modelling approaches for predicting moisture transfer during baking of chhana podo (milk cake) incorporated with tikhur (Curcuma angustifolia) starch. Journal of Food Measurement & Characterization. 14(6). 2981–2997. 12 indexed citations

Franklin, Magdaline Eljeeva Emerald, et al.. (2019). Application of D‐optimal mixture design and fuzzy logic approach in the preparation of chhana podo (baked milk cake). Journal of Food Process Engineering. 42(5). 7 indexed citations

Pushpadass, Heartwin A., et al.. (2016). Soft computing modelling of moisture sorption isotherms of milk-foxtail millet powder and determination of thermodynamic properties. Journal of Food Science and Technology. 53(6). 2705–2714. 16 indexed citations

Manimala, K., et al.. (2015). Detection of Microaneurysms in Color Fundus Images. 3 indexed citations

Sadasivam, V., et al.. (2015). An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances. Applied Soft Computing. 32. 23–37. 146 indexed citations

Manimala, K. & K. Selvi. (2014). Power Disturbances Classification Using S-Transform Based GA–PNN. Journal of The Institution of Engineers (India) Series B. 96(3). 283–295. 11 indexed citations

Manimala, K., et al.. (2014). Implementation of Hyperbolic Tangent Activation Function in VLSI. 7 indexed citations

Manimala, K., et al.. (2014). A novel data selection technique using fuzzy C-means clustering to enhance SVM-based power quality classification. Soft Computing. 19(11). 3123–3144. 14 indexed citations

10.

Manimala, K., et al.. (2012). OPTIMAL FEATURE SET AND PARAMETER SELECTION FOR POWER QUALITY DATA MINING. Applied Artificial Intelligence. 26(3). 204–228. 1 indexed citations

11.

Sadasivam, V., et al.. (2012). PARTICLE SWARM OPTIMIZATION-BASED FEATURE SELECTION AND PARAMETER OPTIMIZATION FOR POWER SYSTEM DISTURBANCES CLASSIFICATION. Applied Artificial Intelligence. 26(9). 832–861. 15 indexed citations

12.

Manimala, K., et al.. (2011). Hybrid soft computing techniques for feature selection and parameter optimization in power quality data mining. Applied Soft Computing. 11(8). 5485–5497. 44 indexed citations

13.

Manimala, K., et al.. (2011). Optimization techniques for improving power quality data mining using wavelet packet based support vector machine. Neurocomputing. 77(1). 36–47. 70 indexed citations

14.

Manimala, K., et al.. (2011). POWER DISTURBANCES PATTERN RECOGNITION USING SUPPORT VECTOR MACHINE. 8(1). 53–64.

15.

Manimala, K., et al.. (2010). FW_SFS: A NOVEL FEATURE SELECTION METHOD FOR POWER QUALITY DATA MINING. International Journal of Power and Energy Systems. 30(2). 4 indexed citations

16.

Manimala, K., et al.. (2009). FAST SVMS FOR POWER QUALITY DATA MINING. 3(1). 1–7. 5 indexed citations

17.

Manimala, K., et al.. (2008). Artificial Intelligence Techniques Applications For Power Disturbances Classification. Zenodo (CERN European Organization for Nuclear Research). 2(10). 2309–2316. 4 indexed citations

18.

Manimala, K. & K. Selvi. (2007). Power Quality Disturbances Classification Using Probabilistic Neural Network. 207–211. 11 indexed citations

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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