S.S. Kulkarni

1.7k total citations
46 papers, 1.4k citations indexed

About

S.S. Kulkarni is a scholar working on Mechanical Engineering, Water Science and Technology and Polymers and Plastics. According to data from OpenAlex, S.S. Kulkarni has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 16 papers in Water Science and Technology and 15 papers in Polymers and Plastics. Recurrent topics in S.S. Kulkarni's work include Membrane Separation and Gas Transport (27 papers), Membrane Separation Technologies (16 papers) and Polymer crystallization and properties (12 papers). S.S. Kulkarni is often cited by papers focused on Membrane Separation and Gas Transport (27 papers), Membrane Separation Technologies (16 papers) and Polymer crystallization and properties (12 papers). S.S. Kulkarni collaborates with scholars based in India, United States and France. S.S. Kulkarni's co-authors include S. A. Stern, William J. Koros, Deepak A. Musale, Edgar S. Sanders, Shilu Fu, Sandeep K. Karode, Graham B. Wenz, M.G. Kulkarni, R. A. Mashelkar and Akkihebbal K. Suresh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Macromolecules.

In The Last Decade

S.S. Kulkarni

44 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.S. Kulkarni India 23 916 503 428 388 373 46 1.4k
Victor Kusuma United States 22 843 0.9× 429 0.9× 480 1.1× 244 0.6× 345 0.9× 45 1.4k
Anne Jonquières France 18 730 0.8× 324 0.6× 157 0.4× 391 1.0× 298 0.8× 45 1.1k
Q.T. Nguyen France 21 606 0.7× 467 0.9× 139 0.3× 373 1.0× 449 1.2× 36 1.3k
J.P.G. Villaluenga Spain 19 550 0.6× 372 0.7× 250 0.6× 280 0.7× 490 1.3× 49 1.3k
Ondřej Vopička Czechia 21 1.1k 1.2× 367 0.7× 464 1.1× 262 0.7× 299 0.8× 60 1.3k
Č. Stropnik Slovenia 9 1.1k 1.2× 391 0.8× 502 1.2× 140 0.4× 190 0.5× 24 1.3k
G. K. Fleming United States 12 1.8k 1.9× 611 1.2× 632 1.5× 805 2.1× 504 1.4× 15 2.2k
Chunhai Yi China 24 911 1.0× 475 0.9× 792 1.9× 114 0.3× 490 1.3× 82 2.0k
Michele Galizia United States 24 1.5k 1.7× 764 1.5× 743 1.7× 481 1.2× 762 2.0× 60 2.3k
Xiaolong Han China 24 504 0.6× 395 0.8× 562 1.3× 129 0.3× 333 0.9× 70 1.3k

Countries citing papers authored by S.S. Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.S. Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of S.S. Kulkarni. A scholar is included among the top collaborators of S.S. 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 S.S. Kulkarni. S.S. Kulkarni 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.
Kulkarni, S.S., et al.. (2025). CataractBot: An LLM-powered Expert-in-the-Loop Chatbot for Cataract Patients. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(2). 1–31. 2 indexed citations
2.
Kulkarni, S.S., et al.. (2024). INTEGRATED ANTHROPOLOGICAL RESEARCH ON KORKU TRIBESIN 2020 (INDIA, MAHARASHTRA). PRELIMINARY RESULTS. SHILAP Revista de lepidopterología. 33–46.
3.
Fu, Shilu, Graham B. Wenz, Edgar S. Sanders, et al.. (2016). Effects of pyrolysis conditions on gas separation properties of 6FDA/DETDA:DABA(3:2) derived carbon molecular sieve membranes. Journal of Membrane Science. 520. 699–711. 99 indexed citations
4.
Fu, Shilu, Edgar S. Sanders, S.S. Kulkarni, Graham B. Wenz, & William J. Koros. (2015). Temperature dependence of gas transport and sorption in carbon molecular sieve membranes derived from four 6FDA based polyimides: Entropic selectivity evaluation. Carbon. 95. 995–1006. 79 indexed citations
5.
Kulkarni, S.S., et al.. (2014). CO2 Capture by Cold Membrane Operation. Energy Procedia. 63. 186–193. 41 indexed citations
6.
Liu, Lu, Edgar S. Sanders, J.R. Johnson, et al.. (2013). Influence of membrane skin morphology on CO2/N2 separation at sub-ambient temperatures. Journal of Membrane Science. 446. 433–439. 34 indexed citations
7.
Kulkarni, S.S., et al.. (2013). CO2 capture by sub-ambient membrane operation. Energy Procedia. 37. 993–1003. 46 indexed citations
8.
Musale, Deepak A., et al.. (2005). Poly(acrylonitrile) ultrafiltration membranes. I. Polymer‐salt‐solvent interactions. Journal of Polymer Science Part B Polymer Physics. 43(15). 2061–2073. 37 indexed citations
9.
Kulkarni, S.S., et al.. (2004). Nanofiltration thin-film-composite polyesteramide membranes based on bulky diols. Desalination. 161(1). 25–32. 14 indexed citations
10.
Mayadevi, S., et al.. (2000). Controlled chemical precipitation of titania for membrane applications—effect of heat treatment and fabrication conditions on its performance. Journal of Materials Science. 35(15). 3943–3949. 8 indexed citations
11.
Kulkarni, S.S., et al.. (2000). Thin-film composite poly(esteramide)-based membranes. Desalination. 130(1). 17–30. 48 indexed citations
12.
Karode, Sandeep K., et al.. (2000). Osmotic dehydration coupled reverse osmosis concentration: steady-state model and assessment. Journal of Membrane Science. 164(1-2). 277–288. 8 indexed citations
13.
Musale, Deepak A. & S.S. Kulkarni. (1998). Effect of Membrane-Solute Interactions on Ultrafiltration Performance. Journal of macromolecular science. Part C, Reviews in macromolecular chemistry and physics. 38(4). 615–636. 18 indexed citations
14.
Kharul, Ulhas K. & S.S. Kulkarni. (1997). Gas permeation properties of polyarylates synthesized with bromine‐ and methyl‐substituted bisphenols. Macromolecular Chemistry and Physics. 198(6). 1909–1919. 6 indexed citations
15.
Pant, Bishweshwar, et al.. (1994). Modification of polystyrene barrier properties. Polymer. 35(12). 2549–2553. 4 indexed citations
16.
Charati, S. G., J. P. Jog, S.S. Kulkarni, & M. G. Kulkarni. (1994). Dynamic mechanical analysis and interpretation of molecular motions in polyarylates. Journal of Applied Polymer Science. 54(8). 1093–1101. 10 indexed citations
17.
Kulkarni, S.S., et al.. (1994). Sorption, transport, and history effects in phenolphthalein-based polysulfone. Journal of Membrane Science. 95(2). 147–160. 29 indexed citations
18.
Kulkarni, S.S., M. G. Kulkarni, & Sanjay Nene. (1993). New avenues in membrane science and technology. Sadhana. 18(1). 105–124.
19.
Joshi, A. V., et al.. (1990). Phase stability and oxygen transport characteristics of yttria- and niobia-stabilized bismuth oxide. Journal of Materials Science. 25(2). 1237–1245. 32 indexed citations
20.
Stern, S. A., et al.. (1986). Tests of a “free‐volume” model of gas permeation through polymer membranes. II. Pure Ar, SF6, CF4, and C2H2F2 in polyethylene. Journal of Polymer Science Part B Polymer Physics. 24(10). 2149–2166. 45 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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