B. D. Kulkarni

5.5k total citations · 1 hit paper
210 papers, 4.3k citations indexed

About

B. D. Kulkarni is a scholar working on Computer Networks and Communications, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, B. D. Kulkarni has authored 210 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 37 papers in Molecular Biology and 37 papers in Control and Systems Engineering. Recurrent topics in B. D. Kulkarni's work include Nonlinear Dynamics and Pattern Formation (38 papers), Advanced Control Systems Optimization (19 papers) and Process Optimization and Integration (17 papers). B. D. Kulkarni is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (38 papers), Advanced Control Systems Optimization (19 papers) and Process Optimization and Integration (17 papers). B. D. Kulkarni collaborates with scholars based in India, United States and Singapore. B. D. Kulkarni's co-authors include Vaidyanathan Jayaraman, Prakash Shelokar, L. K. Doraiswamy, Sanjeev S. Tambe, Rajnish Kumar, Gaurav Bhattacharjee, Asheesh Kumar, Imran Rahman, Ramdas B. Khomane and Patrick Siarry and has published in prestigious journals such as Nature, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

B. D. Kulkarni

208 papers receiving 4.1k citations

Hit Papers

Role of Surfactants in Promoting Gas Hydrate Formation 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. D. Kulkarni India 33 844 838 617 596 568 210 4.3k
Ping Guo China 37 700 0.8× 869 1.0× 544 0.9× 505 0.8× 519 0.9× 521 6.5k
Santosh K. Gupta India 33 876 1.0× 236 0.3× 597 1.0× 385 0.6× 857 1.5× 259 4.4k
D. M. Himmelblau United States 33 1.2k 1.4× 971 1.2× 714 1.2× 319 0.5× 1.6k 2.8× 139 7.8k
Gade Pandu Rangaiah Singapore 46 1.3k 1.5× 516 0.6× 604 1.0× 463 0.8× 1.4k 2.4× 232 6.2k
B. V. Babu India 31 1.7k 2.0× 739 0.9× 439 0.7× 146 0.2× 1.0k 1.8× 78 4.7k
Riccardo Leardi Italy 37 1.4k 1.7× 399 0.5× 345 0.6× 1.3k 2.2× 218 0.4× 126 7.1k
Jong Min Lee South Korea 40 1.4k 1.6× 380 0.5× 734 1.2× 1.0k 1.7× 800 1.4× 379 6.0k
Tao Chen China 45 608 0.7× 1.0k 1.2× 819 1.3× 452 0.8× 1.1k 1.9× 414 7.3k
José Carlos Pinto Brazil 42 1.6k 1.9× 210 0.3× 1.2k 1.9× 704 1.2× 919 1.6× 396 6.9k
Unnikrishnan Kuzhiumparambil Australia 34 670 0.8× 478 0.6× 326 0.5× 457 0.8× 331 0.6× 153 3.5k

Countries citing papers authored by B. D. Kulkarni

Since Specialization
Citations

This map shows the geographic impact of B. 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 B. 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 B. D. Kulkarni more than expected).

Fields of papers citing papers by B. D. Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of B. D. Kulkarni. A scholar is included among the top collaborators of B. 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 B. D. Kulkarni. B. D. 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.
Tambe, Sanjeev S., et al.. (2017). Genetic Programming based Drag Model with Improved Prediction Accuracy for Fluidization Systems. International Journal of Chemical Reactor Engineering. 15(2). 3 indexed citations
2.
Kulkarni, B. D., et al.. (2016). Inverse problem studies of biochemical systems with structure identification of S-systems by embedding training functions in a genetic algorithm. Mathematical Biosciences. 275. 93–106. 1 indexed citations
3.
Deshpande, Pradeep B., et al.. (2014). Mind Over Matter: Investigation of Materialization of Intentions. 5(5). 1 indexed citations
4.
Deshpande, Pradeep B. & B. D. Kulkarni. (2012). The Brahma Uncertainty Principle. 3(2). 2 indexed citations
5.
Deshpande, Pradeep B., et al.. (2011). Levitation during Meditation: A Scientific Investigation. 2(4). 1 indexed citations
6.
Gadgil, Chetan & B. D. Kulkarni. (2009). Autocatalysis in biological systems. AIChE Journal. 55(3). 556–562. 9 indexed citations
7.
Jotania, Rajshree B., Ramdas B. Khomane, Chetna C. Chauhan, & B. D. Kulkarni. (2008). Temperature Dependent Structural Studies and Magnetic Properties of BaCa2Fe16O27 Hexaferrites Prepared by Stearic Acid Gel Route in Presence of SDS Surfactant. Synthesis and Reactivity in Inorganic Metal-Organic and Nano-Metal Chemistry. 38(2). 225–228. 1 indexed citations
8.
Chandran, Sharat, et al.. (2007). Arterial Pulse System: Modern Methods For Traditional Indian Medicine. Conference proceedings. 2007. 608–611. 25 indexed citations
9.
Jayaraman, Vaidyanathan, et al.. (2003). Support Vector Machines: A Useful Tool for Process Engineering Applications. Chemical engineering progress. 99(99). 57–63. 14 indexed citations
10.
Kulkarni, B. D., et al.. (2002). Analysis of DNA curvature distribution in mycobacterial promoters using theoretical models. Biophysical Chemistry. 99(1). 77–97. 8 indexed citations
11.
Tambe, Sanjeev S., et al.. (2001). Consider genetic algorithms to optimize batch distillation. Hydrocarbon processing. 80(9). 59–66. 5 indexed citations
12.
Ahedi, Ranjeet Kaur, A.N. Kotasthane, B.S. Rao, Abhijit Manna, & B. D. Kulkarni. (2001). Synthesis of Ferrierite-Type Zeolite in the Presence of a Catalytic Amount of Pyrrolidine and Sodium Bis(2-ethyhlhexyl) Sulfosuccinate. Journal of Colloid and Interface Science. 236(1). 47–51. 13 indexed citations
13.
Adhikari, Sondipon, et al.. (2000). Multiobjective ant algorithm for continuous function optimizatio: combination of strength Pareto fitness assignment and thermodynamic clustering. Foundations of Computing and Decision Sciences. 213–230. 3 indexed citations
14.
Konnur, Rahul, Vaidyanathan Jayaraman, & B. D. Kulkarni. (2000). Onset of resonance in chaotically driven systems. Applied Mathematics Letters. 13(8). 69–75. 1 indexed citations
15.
Jayaraman, Vaidyanathan, et al.. (1999). Improve controller performance with simple fuzzy rules. Hydrocarbon processing. 78(5). 97–100. 3 indexed citations
16.
Tambe, Sanjeev S., et al.. (1998). Analysis of DNA curvature using artificial neural networks.. Bioinformatics. 14(2). 131–138. 6 indexed citations
17.
Nair, T. Murlidharan, Sanjeev S. Tambe, & B. D. Kulkarni. (1995). Analysis of transcription control signals using artificial neural networks. Computer applications in the biosciences. 11(3). 293–300. 3 indexed citations
18.
Nair, T. Murlidharan, Sanjeev S. Tambe, & B. D. Kulkarni. (1994). Application of artificial neural networks for prokaryotic transcription terminator prediction. FEBS Letters. 346(2-3). 273–277. 20 indexed citations
19.
Nair, T. Murlidharan & B. D. Kulkarni. (1994). On the consensus structure within the E. coli promoters. Biophysical Chemistry. 48(3). 383–393. 16 indexed citations
20.
Doraiswamy, L. K. & B. D. Kulkarni. (1987). The analysis of chemically reacting systems : a stochastic approach. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026