Keshav Kumar

568 total citations
32 papers, 467 citations indexed

About

Keshav Kumar is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Biomedical Engineering. According to data from OpenAlex, Keshav Kumar has authored 32 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Analytical Chemistry, 22 papers in Industrial and Manufacturing Engineering and 14 papers in Biomedical Engineering. Recurrent topics in Keshav Kumar's work include Spectroscopy and Chemometric Analyses (29 papers), Water Quality Monitoring and Analysis (22 papers) and Advanced Chemical Sensor Technologies (13 papers). Keshav Kumar is often cited by papers focused on Spectroscopy and Chemometric Analyses (29 papers), Water Quality Monitoring and Analysis (22 papers) and Advanced Chemical Sensor Technologies (13 papers). Keshav Kumar collaborates with scholars based in Germany, India and Sweden. Keshav Kumar's co-authors include Ashok Kumar Mishra, Claus‐Dieter Patz, Digambara Patra, Riham El Kurdi, Ralf M. Schweiggert and Partha Bairi and has published in prestigious journals such as Analytica Chimica Acta, Energy & Fuels and TrAC Trends in Analytical Chemistry.

In The Last Decade

Keshav Kumar

31 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keshav Kumar Germany	13	320	189	132	103	92	32	467
Santiago A. Bortolato Argentina	14	390 1.2×	116 0.6×	131 1.0×	65 0.6×	253 2.8×	34	597
Valeria A. Lozano Argentina	15	377 1.2×	82 0.4×	148 1.1×	86 0.8×	206 2.2×	22	514
Sílvia Mas Spain	12	250 0.8×	97 0.5×	110 0.8×	57 0.6×	150 1.6×	15	484
Mirta R. Alcaráz Argentina	15	424 1.3×	90 0.5×	156 1.2×	150 1.5×	295 3.2×	47	697
Xiang-Dong Qing China	13	223 0.7×	58 0.3×	64 0.5×	56 0.5×	130 1.4×	38	430
Susana Navea Spain	11	250 0.8×	73 0.4×	109 0.8×	99 1.0×	117 1.3×	13	537
Julio Cesar Laurentino Alves Brazil	11	349 1.1×	95 0.5×	191 1.4×	152 1.5×	68 0.7×	22	460
Guimei Dong China	13	208 0.7×	59 0.3×	183 1.4×	75 0.7×	28 0.3×	35	345
Luciano F. Almeida Brazil	17	487 1.5×	118 0.6×	511 3.9×	53 0.5×	120 1.3×	45	993

Countries citing papers authored by Keshav Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Keshav Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keshav Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Keshav Kumar. A scholar is included among the top collaborators of Keshav Kumar 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 Keshav Kumar. Keshav Kumar 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

Kumar, Keshav. (2020). Competitive adaptive reweighted sampling assisted partial least square analysis of excitation-emission matrix fluorescence spectroscopic data sets of certain polycyclic aromatic hydrocarbons. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 244. 118874–118874. 33 indexed citations

Kumar, Keshav. (2020). Probabilistic latent semantic analysis of composite excitation-emission matrix fluorescence spectra of multicomponent system. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 239. 118518–118518. 4 indexed citations

Kumar, Keshav. (2020). Analysis of Carcinogenic Polycyclic Aromatic Hydrocarbons in the Complex Background of the Petroleum Fluorescence Using Multivariate Curve Resolution Alternating Least Square and Total Synchronous Fluorescence Spectroscopic Technique. Journal of Fluorescence. 30(3). 613–620. 4 indexed citations

Kumar, Keshav. (2020). Orthogonal signal correction assisted PLS analysis of EEMF spectroscopic data sets: fluorimetric analysis of polycyclic aromatic hydrocarbon mixtures. SN Applied Sciences. 2(5). 7 indexed citations

Kumar, Keshav. (2020). Analysis of Tryptophan and Tyrosine in the Presence of Other Bioactive Molecules Using Generalized Rank Annihilation Method on Excitation-emission Fluorescence Spectroscopic Data Sets. Journal of Fluorescence. 30(4). 787–792. 5 indexed citations

Kumar, Keshav. (2019). Non-negative Factor (NNF) Assisted Partial Least Square (PLS) Analysis of Excitation-Emission Matrix Fluorescence Spectroscopic Data Sets: Automating the Identification and Quantification of Multifluorophoric Mixtures. Journal of Fluorescence. 29(5). 1183–1190. 2 indexed citations

Kumar, Keshav. (2019). Optimizing Parallel Factor (PARAFAC) Assisted Excitation-Emission Matrix Fluorescence (EEMF) Spectroscopic Analysis of Multifluorophoric Mixtures. Journal of Fluorescence. 29(3). 683–691. 5 indexed citations

Kumar, Keshav, et al.. (2018). Chemometric assisted Fourier Transform Infrared (FTIR) Spectroscopic analysis of fruit wine samples: Optimizing the initialization and convergence criteria in the non-negative factor analysis algorithm for developing a robust classification model. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 209. 22–31. 15 indexed citations

Kumar, Keshav. (2018). Discrete Wavelet Transform (DWT) Assisted Partial Least Square (PLS) Analysis of Excitation-Emission Matrix Fluorescence (EEMF) Spectroscopic Data Sets: Improving the Quantification Accuracy of EEMF Technique. Journal of Fluorescence. 29(1). 185–193. 5 indexed citations

10.

Kumar, Keshav. (2018). Application of Genetic Algorithm (GA) Assisted Partial Least Square (PLS) Analysis on Trilinear and Non-trilinear Fluorescence Data Sets to Quantify the Fluorophores in Multifluorophoric Mixtures: Improving Quantification Accuracy of Fluorimetric Estimations of Dilute Aqueous Mixtures. Journal of Fluorescence. 28(2). 589–596. 2 indexed citations

11.

Kumar, Keshav. (2018). Introducing ‘Simple Variable Selection (SVS) Approach’ for Improving the Quantitative Accuracy of Chemometric Assisted Fluorimetric Estimations of Dilute Aqueous Mixtures. Journal of Fluorescence. 28(5). 1163–1171.

12.

Kurdi, Riham El, Keshav Kumar, & Digambara Patra. (2018). Random initialisation of the excitation-emission matrix fluorescence spectral variables in constraint fashion for subsequent multivariate curve resolution alternating least square analysis on a peculiarly designed calibration set: Simultaneous sensing of nine polycyclic aromatic hydrocarbons in water samples. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 204. 354–361. 2 indexed citations

13.

Kumar, Keshav. (2018). Processing Excitation-Emission Matrix Fluorescence and Total Synchronous Fluorescence Spectroscopy Data Sets with Constraint Randomised Non-negative Factor Analysis: a Novel Fluorescence Based Analytical Procedure to Analyse the Multifluorophoric Mixtures. Journal of Fluorescence. 28(5). 1075–1092. 6 indexed citations

14.

Kumar, Keshav, et al.. (2017). Eigenvalue-eigenvector decomposition (EED) analysis of dissimilarity and covariance matrix obtained from total synchronous fluorescence spectral (TSFS) data sets of herbal preparations: Optimizing the classification approach. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 184. 128–133. 2 indexed citations

15.

Kumar, Keshav. (2017). Random Initialisation of the Spectral Variables: an Alternate Approach for Initiating Multivariate Curve Resolution Alternating Least Square (MCR-ALS) Analysis. Journal of Fluorescence. 27(6). 1957–1968. 7 indexed citations

16.

Kumar, Keshav & Ashok Kumar Mishra. (2015). Application of Partial Least Square (PLS) Analysis on Fluorescence Data of 8-Anilinonaphthalene-1-Sulfonic Acid, a Polarity Dye, for Monitoring Water Adulteration in Ethanol Fuel. Journal of Fluorescence. 25(4). 1055–1061. 7 indexed citations

17.

Kumar, Keshav & Ashok Kumar Mishra. (2013). Analysis of dilute aqueous multifluorophoric mixtures using excitation–emission matrix fluorescence (EEMF) and total synchronous fluorescence (TSF) spectroscopy: A comparative evaluation. Talanta. 117. 209–220. 48 indexed citations

18.

Kumar, Keshav, et al.. (2012). Environmental Measures in Domicilliary Interventions of Asthmatic Children. The Indian Journal of Pediatrics. 79(9). 1169–1175. 1 indexed citations

19.

Kumar, Keshav & Ashok Kumar Mishra. (2012). Application of parallel factor analysis to total synchronous fluorescence spectrum of dilute multifluorophoric solutions: Addressing the issue of lack of trilinearity in total synchronous fluorescence data set. Analytica Chimica Acta. 755. 37–45. 27 indexed citations

20.

Kumar, Keshav & Ashok Kumar Mishra. (2011). Quantification of Ethanol in Ethanol-Petrol and Biodiesel in Biodiesel-Diesel Blends Using Fluorescence Spectroscopy and Multivariate Methods. Journal of Fluorescence. 22(1). 339–347. 29 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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