Sunil D. Kulkarni

49 total papers · 722 total citations
36 papers, 563 citations indexed

About

Sunil D. Kulkarni is a scholar working on Water Science and Technology, Materials Chemistry and Analytical Chemistry. According to data from OpenAlex, Sunil D. Kulkarni has authored 36 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 8 papers in Materials Chemistry and 7 papers in Analytical Chemistry. Recurrent topics in Sunil D. Kulkarni's work include Adsorption and biosorption for pollutant removal (8 papers), Food Science and Nutritional Studies (5 papers) and Analytical chemistry methods development (4 papers). Sunil D. Kulkarni is often cited by papers focused on Adsorption and biosorption for pollutant removal (8 papers), Food Science and Nutritional Studies (5 papers) and Analytical chemistry methods development (4 papers). Sunil D. Kulkarni collaborates with scholars based in India, United States and Pakistan. Sunil D. Kulkarni's co-authors include Α. V. R. Reddy, N. S. Rajurkar, R. Acharya, Rabinarayan Acharya, T.P.A. Devasagayam, Jai C. Tilak, A. G. C. Nair, Kenneth A. Mauritz, Rajeev C. Chikate and Christopher G. Arges and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Journal of Cleaner Production.

In The Last Decade

Sunil D. Kulkarni

34 papers receiving 516 citations

Author Peers

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

Author						Papers	Cites
Sunil D. Kulkarni	122	119	85	81	76	36	563
Mohamed M. Gharieb	86 0.7×	109 0.9×	106 1.2×	70 0.9×	154 2.0×	34	533
Ravi	102 0.8×	42 0.4×	53 0.6×	59 0.7×	75 1.0×	22	691
Farah Maria Drumond Chequer	76 0.6×	53 0.4×	93 1.1×	179 2.2×	134 1.8×	37	635
Maribel Cornejo‐Mazón	108 0.9×	89 0.7×	101 1.2×	29 0.4×	90 1.2×	29	614
Yujuan Lü	133 1.1×	37 0.3×	125 1.5×	47 0.6×	49 0.6×	35	677
Caifeng Xie	165 1.4×	123 1.0×	43 0.5×	42 0.5×	166 2.2×	49	660
Mei Ching Tan	92 0.8×	98 0.8×	65 0.8×	38 0.5×	72 0.9×	25	522
Karim Kriaa	61 0.5×	48 0.4×	45 0.5×	62 0.8×	102 1.3×	55	656
S. Polati	81 0.7×	90 0.8×	56 0.7×	221 2.7×	35 0.5×	14	574
Minghao Fan	89 0.7×	80 0.7×	128 1.5×	21 0.3×	149 2.0×	22	673

Countries citing papers authored by Sunil D. Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Sunil D. Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil D. Kulkarni. 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 Sunil D. Kulkarni. The network helps show where Sunil D. Kulkarni may publish in the future.

Co-authorship network of co-authors of Sunil D. Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil D. Kulkarni. A scholar is included among the top collaborators of Sunil D. Kulkarni 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 Sunil D. Kulkarni. Sunil D. Kulkarni 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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