Nikhil Mirjankar

605 total citations
26 papers, 419 citations indexed

About

Nikhil Mirjankar is a scholar working on Analytical Chemistry, Biomedical Engineering and Biophysics. According to data from OpenAlex, Nikhil Mirjankar has authored 26 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Analytical Chemistry, 12 papers in Biomedical Engineering and 7 papers in Biophysics. Recurrent topics in Nikhil Mirjankar's work include Advanced Chemical Sensor Technologies (10 papers), Spectroscopy and Chemometric Analyses (10 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Nikhil Mirjankar is often cited by papers focused on Advanced Chemical Sensor Technologies (10 papers), Spectroscopy and Chemometric Analyses (10 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (7 papers). Nikhil Mirjankar collaborates with scholars based in United States and Canada. Nikhil Mirjankar's co-authors include Barry K. Lavine, P. Mark L. Sandercock, Carlos G. Fraga, Alan Rossner, Ryan F. LeBouf, Necati Kaval, Yehia Mechref, Stephen J. Valentine, Jerome Workman and Scott Ryland and has published in prestigious journals such as Analytical Chemistry, Analytica Chimica Acta and Talanta.

In The Last Decade

Nikhil Mirjankar

26 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikhil Mirjankar United States 15 221 147 107 93 91 26 419
Roger W. Jones United States 14 208 0.9× 140 1.0× 84 0.8× 62 0.7× 156 1.7× 37 603
Deleon Nascimento Correa Brazil 12 179 0.8× 80 0.5× 80 0.7× 66 0.7× 190 2.1× 21 468
Carolina S. Silva Brazil 13 268 1.2× 80 0.5× 145 1.4× 86 0.9× 32 0.4× 27 499
Mark Marić United States 12 118 0.5× 45 0.3× 81 0.8× 51 0.5× 104 1.1× 23 352
Rakesh Mohan Sharma India 6 92 0.4× 75 0.5× 20 0.2× 73 0.8× 24 0.3× 16 287
Robert D. Blackledge United States 12 74 0.3× 68 0.5× 64 0.6× 58 0.6× 165 1.8× 25 512
Ewelina Mistek United States 10 191 0.9× 63 0.4× 40 0.4× 148 1.6× 30 0.3× 11 430
Shelby R. Khandasammy United States 7 121 0.5× 58 0.4× 23 0.2× 66 0.7× 37 0.4× 8 302
Claire K. Muro United States 8 240 1.1× 74 0.5× 56 0.5× 177 1.9× 39 0.4× 8 534
Kay Sowoidnich Germany 13 300 1.4× 109 0.7× 20 0.2× 108 1.2× 26 0.3× 44 480

Countries citing papers authored by Nikhil Mirjankar

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Mirjankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Mirjankar

This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Mirjankar. A scholar is included among the top collaborators of Nikhil Mirjankar 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 Nikhil Mirjankar. Nikhil Mirjankar 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
1.
Primera-Pedrozo, Oliva M., et al.. (2020). Sorption and desorption study of a nerve-agent simulant from office materials for forensic applications. Forensic Chemistry. 20. 100260–100260. 5 indexed citations
2.
Fraga, Carlos G., et al.. (2017). Elemental source attribution signatures for calcium ammonium nitrate (CAN) fertilizers used in homemade explosives. Talanta. 174. 131–138. 17 indexed citations
3.
Mirjankar, Nikhil, et al.. (2015). Fourier Transform Infrared Spectroscopic Analysis of Protein Secondary Structures Found in Egusi. 1(1). 1. 6 indexed citations
4.
Lavine, Barry K., et al.. (2014). Search prefilters to assist in library searching of infrared spectra of automotive clear coats. Talanta. 132. 182–190. 15 indexed citations
5.
Lavine, Barry K., Nikhil Mirjankar, & Stephen R. Delwiche. (2014). Classification of the waxy condition of durum wheat by near infrared reflectance spectroscopy using wavelets and a genetic algorithm. Microchemical Journal. 117. 178–182. 14 indexed citations
6.
Lavine, Barry K., et al.. (2014). Simulation of Attenuated Total Reflection Infrared Absorbance Spectra: Applications to Automotive Clear Coat Forensic Analysis. Applied Spectroscopy. 68(5). 608–615. 12 indexed citations
7.
Lavine, Barry K., et al.. (2013). Search prefilters for library matching of infrared spectra in the PDQ database using the autocorrelation transformation. Microchemical Journal. 113. 30–35. 17 indexed citations
8.
Lavine, Barry K., et al.. (2013). Development of search prefilters for infrared library searching of clear coat paint smears. Talanta. 119. 331–340. 22 indexed citations
9.
Lavine, Barry K., Nikhil Mirjankar, Ryan F. LeBouf, & Alan Rossner. (2012). Prediction of mold contamination from microbial volatile organic compound profiles using solid phase microextraction and gas chromatography/mass spectrometry. Microchemical Journal. 103. 37–41. 23 indexed citations
10.
Lavine, Barry K., et al.. (2012). Odor-Structure Relationship Studies of Tetralin and Indan Musks. Chemical Senses. 37(8). 723–736. 14 indexed citations
11.
Lavine, Barry K., et al.. (2012). Development of carboxylic acid search prefilters for spectral library matching. Microchemical Journal. 103. 21–36. 10 indexed citations
12.
Lavine, Barry K., et al.. (2012). Pattern Recognition Assisted Infrared Library Searching. Applied Spectroscopy. 66(8). 917–925. 14 indexed citations
13.
Lavine, Barry K., Nikhil Mirjankar, Scott Ryland, & P. Mark L. Sandercock. (2011). Wavelets and genetic algorithms applied to search prefilters for spectral library matching in forensics. Talanta. 87. 46–52. 24 indexed citations
14.
Bowen, James D., et al.. (2011). Development of field-deployable instrumentation based on “antigen–antibody” reactions for detection of hemorrhagic disease in ruminants. Microchemical Journal. 99(2). 415–420. 1 indexed citations
15.
Lavine, Barry K., et al.. (2011). One stop shopping: feature selection, classification and prediction in a single step. Journal of Chemometrics. 25(3). 116–129. 21 indexed citations
16.
Lavine, Barry K., Nikhil Mirjankar, & Robert Κ. Vander Meer. (2010). Analysis of chemical signals in red fire ants by gas chromatography and pattern recognition techniques. Talanta. 83(1). 216–224. 5 indexed citations
17.
Lavine, Barry K., Nikhil Mirjankar, & Robert Κ. Vander Meer. (2010). Analysis of chemical signals in red fire ants by gas chromatography and pattern recognition techniques. Talanta. 83(4). 1308–1316. 4 indexed citations
18.
19.
Lavine, Barry K., et al.. (2007). Construction of an inexpensive surface plasmon resonance instrument for use in teaching and research. Microchemical Journal. 86(2). 147–155. 13 indexed citations
20.
Eiceman, Gary A., et al.. (2006). Pattern recognition analysis of differential mobility spectra with classification by chemical family. Analytica Chimica Acta. 579(1). 1–10. 36 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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