K.K. Shukla

3.2k total citations
173 papers, 2.3k citations indexed

About

K.K. Shukla is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, K.K. Shukla has authored 173 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 40 papers in Artificial Intelligence and 25 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in K.K. Shukla's work include Metal complexes synthesis and properties (22 papers), Magnetism in coordination complexes (16 papers) and Phase Equilibria and Thermodynamics (12 papers). K.K. Shukla is often cited by papers focused on Metal complexes synthesis and properties (22 papers), Magnetism in coordination complexes (16 papers) and Phase Equilibria and Thermodynamics (12 papers). K.K. Shukla collaborates with scholars based in India, United States and Spain. K.K. Shukla's co-authors include Ram N. Patel, U.K. Chauhan, Nripendra Singh, Sanjay Kumar Singh, J. Niclós‐Gutiérrez, Debdas Ghosh, A. Castiñeiras, Arvind Kumar Tiwari, Hari Prabhat Gupta and Pranab K. Muhuri and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Expert Systems with Applications.

In The Last Decade

K.K. Shukla

159 papers receiving 2.2k citations

Peers

K.K. Shukla

ONCOL

CVPR

EOMM

José M. Amigó Spain

Ki‐Young Choi South Korea

Steven Diamond United States

Jie Liu China

Yutong Lu China

Takashi Matsubara Japan

Daniel Svozil Czechia

Xiaoqing Jin China

Govind P. Gupta India

José M. Amigó Spain

K.K. Shukla

104 ×0.2

ONCOL

117 ×0.3

119 ×0.3

452 ×1.3

CVPR

133 ×0.4

EOMM

Citations per year, relative to K.K. Shukla K.K. Shukla (= 1×) peers José M. Amigó

Countries citing papers authored by K.K. Shukla

Since Specialization

Citations

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

Fields of papers citing papers by K.K. Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.K. Shukla

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

All Works

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20 of 20 papers shown

Singh, Sanjay Kumar, et al.. (2023). An intelligent optimized deep learning model to achieve early prediction of epileptic seizures. Biomedical Signal Processing and Control. 84. 104798–104798. 12 indexed citations

Sharma, Vinayak, et al.. (2023). Atherosclerotic Plaque Segmentation in Carotid Ultrasound Image using Hybrid-A-UNet Deep Learning Model. 575–578. 1 indexed citations

Ghosh, Debdas, et al.. (2021). $$\overline{\text {pin}}$$-TSVM: A Robust Transductive Support Vector Machine and its Application to the Detection of COVID-19 Infected Patients. Neural Processing Letters. 53(6). 3981–4010. 4 indexed citations

Bharti, Vandana, Bhaskar Biswas, & K.K. Shukla. (2020). A Novel Multiobjective GDWCN-PSO Algorithm and Its Application to Medical Data Security. ACM Transactions on Internet Technology. 21(2). 1–28. 18 indexed citations

Shukla, K.K., et al.. (2020). Convergence analysis of accelerated proximal extra-gradient method with applications. Neurocomputing. 388. 288–300. 4 indexed citations

Gupta, Hari Prabhat, et al.. (2018). Coverage and Connectivity in WSNs: A Survey, Research Issues and Challenges. IEEE Access. 6. 26971–26992. 128 indexed citations

Shukla, K.K., et al.. (2017). A Comparison Among ARIMA, BP-NN, and MOGA-NN for Software Clone Evolution Prediction. IEEE Access. 5. 11841–11851. 28 indexed citations

Shukla, K.K., et al.. (2017). A new accelerated proximal technique for regression with high-dimensional datasets. Knowledge and Information Systems. 53(2). 423–438. 7 indexed citations

Sahu, D. R., et al.. (2017). VAGA: a novel viscosity-based accelerated gradient algorithm. Applied Intelligence. 48(9). 2613–2627. 8 indexed citations

10.

Singh, Sanjay Kumar, et al.. (2016). Passive forensics in image and video using noise features: A review. Digital Investigation. 19. 1–28. 42 indexed citations

11.

Kumar, Abhishek, G. D. Dwivedi, Shiv Kumar, et al.. (2015). Role of ion beam excitations on quasi one-dimensional magnetic system of Mn-doped LiCuVO4. Materials Chemistry and Physics. 161. 19–25.

12.

Shukla, K.K., et al.. (2011). Delay Resistant Transport Protocol for Deep Space Communication. International Journal of Communications Network and System Sciences. 4(2). 122–132. 4 indexed citations

13.

Bhatia, Dinesh, et al.. (2010). Study the role of muscles under different loading conditionsusing EMG analysis of lower extremities. Advances in Applied Science Research. 1(3). 1 indexed citations

14.

Patel, R.N., et al.. (2010). Synthesis and characterization of a new nickel(II) mixed ligand complex with 2-(2'-pyridyl) benzothiazole. INDIAN JOURNAL OF CHEMISTRY- SECTION A. 49(12). 1601–1606. 2 indexed citations

15.

Sharma, Neeraj, et al.. (2008). Segmentation and classification of medical images using texture-primitive features: Application of BAM-type artificial neural network. Journal of Medical Physics. 33(3). 119–119. 110 indexed citations

16.

Patel, Ram N., et al.. (2005). Synthesis, characterization and biological activity of ternary copper(II) complexes containing polypyridyl ligands. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 63(1). 21–26. 56 indexed citations

17.

Patel, Ram N., et al.. (2004). Synthesis, structure and biomimetic properties of Cu(II)–Cu(II) and Cu(II)–Zn(II) binuclear complexes: possible models for the chemistry of Cu–Zn superoxide dismutase. Journal of Inorganic Biochemistry. 99(2). 651–663. 58 indexed citations

18.

Patel, Ram N., et al.. (2004). Synthesis, spectra and biomimetic properties of copper(II)–copper(II) and copper(II)–zinc(II) binuclear complexes with CuN5 chromophores. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 61(11-12). 2603–2610. 9 indexed citations

19.

Singh, Nripendra, K.K. Shukla, Ram N. Patel, U.K. Chauhan, & Rahul Shrivastava. (2003). E.s.r., magnetic, optical and biological (SOD and antimicrobial) studies of imidazolate bridged CuII–ZnII and CuII–NiII complexes with tris(2-amino ethyl)amine as capping ligand: a plausible model for superoxide dismutase. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 59(13). 3111–3122. 23 indexed citations

20.

Shukla, K.K.. (1996). Some AI Techniques for Information Retrieval. DESIDOC Journal of Library & Information Technology. 16(4). 13–18. 2 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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