Pranava Chaudhari

33 total papers · 512 total citations
24 papers, 374 citations indexed

About

Pranava Chaudhari is a scholar working on Biomedical Engineering, Materials Chemistry and Control and Systems Engineering. According to data from OpenAlex, Pranava Chaudhari has authored 24 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 6 papers in Materials Chemistry and 4 papers in Control and Systems Engineering. Recurrent topics in Pranava Chaudhari's work include Crystallization and Solubility Studies (4 papers), Process Optimization and Integration (4 papers) and Advanced Control Systems Optimization (4 papers). Pranava Chaudhari is often cited by papers focused on Crystallization and Solubility Studies (4 papers), Process Optimization and Integration (4 papers) and Advanced Control Systems Optimization (4 papers). Pranava Chaudhari collaborates with scholars based in India, United States and Czechia. Pranava Chaudhari's co-authors include Amit K. Thakur, Rahul Kumar, Nilanjana Banerjee, Santosh K. Gupta, R.D.K. Misra, Sanjeev Garg, Gajendra Kumar Gaurav, Raj Kumar Arya, Devyani Thapliyal and Rahul Kumar and has published in prestigious journals such as Industrial & Engineering Chemistry Research, International Journal of Pharmaceutics and Powder Technology.

In The Last Decade

Pranava Chaudhari

23 papers receiving 371 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pranava Chaudhari	110	83	60	44	43	24	374
Otto Scheibelhofer	102 0.9×	98 1.2×	66 1.1×	30 0.7×	75 1.7×	26	389
Kanjakha Pal	100 0.9×	293 3.5×	33 0.6×	37 0.8×	54 1.3×	14	403
Julia Kruisz	177 1.6×	78 0.9×	105 1.8×	141 3.2×	52 1.2×	20	427
Ali Asghar Hamidi	96 0.9×	92 1.1×	66 1.1×	17 0.4×	11 0.3×	24	364
Olav Lyngberg	104 0.9×	52 0.6×	50 0.8×	28 0.6×	22 0.5×	16	400
Daniele Suzzi	115 1.0×	58 0.7×	86 1.4×	21 0.5×	52 1.2×	25	436
Jan Patera	130 1.2×	93 1.1×	52 0.9×	10 0.2×	62 1.4×	24	334
Sean K. Bermingham	60 0.5×	140 1.7×	98 1.6×	74 1.7×	39 0.9×	14	408
Koji Muteki	39 0.4×	59 0.7×	106 1.8×	124 2.8×	43 1.0×	20	438
Yuanyi Wu	86 0.8×	214 2.6×	39 0.7×	16 0.4×	20 0.5×	22	446

Countries citing papers authored by Pranava Chaudhari

Since Specialization

Citations

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

Fields of papers citing papers by Pranava Chaudhari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranava Chaudhari

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

All Works

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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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