World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
11283
World Ranking
2523
National Ranking
41

Bhaskar D. Kulkarni publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Bhaskar D. Kulkarni sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 336 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Bhaskar D. Kulkarni D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Bhaskar D. Kulkarni sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Bhaskar D. Kulkarni is affiliated with the Council of Scientific and Industrial Research in India. Their research spans multiple scientific fields including Computer Science, Materials Science, and Biochemistry, Genetics and Molecular Biology. Within these broader disciplines, Kulkarni has contributed to subfields such as Computational Theory and Mathematics, Materials Chemistry, and Molecular Biology.

Kulkarni's research interests focus on key topics like Computational Drug Discovery Methods, Machine Learning in Materials Science, and Protein Structure and Dynamics. These topics reflect an interdisciplinary approach combining computational techniques with applications in chemistry and biology.

Their publication record includes at least one notable paper titled "On the use of electronegativity and electron affinity based pseudo-molecular field descriptors in developing correlations for quantitative structure-activity relationship modeling of drug activities," published in 2021 in the journal Chemical Biology & Drug Design.

Frequent co-authors who have collaborated with Kulkarni include:

  • Pranav D. Pathak
  • Saurabh N. Joglekar
  • Sachin A. Mandavgane
  • Pushkar D. Kunde
  • Sudha Ramkumar

Kulkarni has published primarily in the journal Chemical Biology & Drug Design, which aligns with their work in drug discovery and molecular biology.

Best Publications

  • An ant colony approach for clustering

    P.S Shelokar;V.K Jayaraman;B.D Kulkarni

  • Particle swarm and ant colony algorithms hybridized for improved continuous optimization

    P. S. Shelokar;Patrick Siarry;Valadi K. Jayaraman;Bhaskar D. Kulkarni

  • Role of Surfactants in Promoting Gas Hydrate Formation

    Asheesh Kumar;Gaurav Bhattacharjee;B. D. Kulkarni;Rajnish Kumar

  • Comparative assessment of downstream processing options for lactic acid

    H.G. Joglekar;Imran Rahman;Suresh Babu;B.D. Kulkarni

  • Fruit peel waste: characterization and its potential uses

    Pranav D. Pathak;Sachin A. Mandavgane;Bhaskar D. Kulkarni

  • Soft-sensor development for fed-batch bioreactors using support vector regression

    Kiran Desai;Yogesh Badhe;Sanjeev S. Tambe;Bhaskar D. Kulkarni

  • Ant Colony Approach to Continuous Function Optimization

    Mohit Mathur;Sachin B. Karale;Sidhartha Priye;V. K. Jayaraman

  • Estimation of gross calorific value of coals using artificial neural networks

    Shagufta U. Patel;B. Jeevan Kumar;Yogesh P. Badhe;B.K. Sharma

  • Fruit peel waste as a novel low-cost bio adsorbent

    Pranav D. Pathak;Sachin A. Mandavgane;Bhaskar D. Kulkarni

  • Ant colony framework for optimal design and scheduling of batch plants

    V.K. Jayaraman;B.D. Kulkarni;Sachin Karale;Prakash Shelokar

  • Synthesis, characterization and catalytic performance of titanium silicalite-1 prepared in micellar media

    R.B. Khomane;B.D. Kulkarni;A. Paraskar;S.R. Sainkar

  • Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process

    Abhijit J. Kulkarni;Vaidyanathan K. Jayaraman;Bhaskar D. Kulkarni

  • Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM

    Piyushkumar Mundra;Madhan Kumar;K. Krishna Kumar;Valadi K. Jayaraman

  • Synthesis and magnetic properties of barium-calcium hexaferrite particles prepared by sol-gel and microemulsion techniques

    R.B. Jotania;R.B. Khomane;C.C. Chauhan;S.K. Menon

  • Green synthesis of silver nanoparticles using sunlight

    Gaurav A. Bhaduri;Ross Little;Ramdas B. Khomane;Suhas U. Lokhande

  • Efficient Conversion of Cellulose to Levulinic Acid by Hydrothermal Treatment Using Zirconium Dioxide as a Recyclable Solid Acid Catalyst

    Sunil S. Joshi;Amit D. Zodge;Kiran V. Pandare;Bhaskar D. Kulkarni

  • Sulfur Nanoparticles Synthesis and Characterization from H2S Gas, Using Novel Biodegradable Iron Chelates in W/O Microemulsion

    Aniruddha S Deshpande;Ramdas B Khomane;Bhalchandra K Vaidya;Renuka M Joshi

  • Dynamic optimization of chemical processes using ant colony framework.

    J. Rajesh;Kapil Gupta;Hari Shankar Kusumakar;Vaidyanathan K. Jayaraman

  • A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli

    Susan Idicula-Thomas;Abhijit J. Kulkarni;Bhaskar D. Kulkarni;Valadi K. Jayaraman

  • Hybrid process modeling and optimization strategies integrating neural networks/support vector regression and genetic algorithms: study of benzene isopropylation on Hbeta catalyst

    Somnath Nandi;Yogesh Badhe;Jayaram Lonari;U. Sridevi

  • Driving systems with chaotic signals.

    Parkash Badola;S. S. Tambe;B. D. Kulkarni

Frequent Co-Authors

Jyeshtharaj B. Joshi
Jyeshtharaj B. Joshi Institute of Chemical Technology
Valakunja Nagaraja
Valakunja Nagaraja Indian Institute of Science
Iftekhar A. Karimi
Iftekhar A. Karimi National University of Singapore
Xiao Cheng Zeng
Xiao Cheng Zeng City University of Hong Kong
Mahendra Pal Sharma
Mahendra Pal Sharma Indian Institute of Technology Roorkee
Detlef Stolten
Detlef Stolten RWTH Aachen University
Ashutosh Sharma
Ashutosh Sharma Indian Institute of Technology Kanpur
Vivek V. Ranade
Vivek V. Ranade University of Limerick
Patrick Siarry
Patrick Siarry Paris-Est Créteil University
Asim Bhaumik
Asim Bhaumik Indian Association for the Cultivation of Science

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