World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
45
Citations
5719
World Ranking
5647
National Ranking
1570

Rohit Ramachandran 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 Rohit Ramachandran sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Rohit Ramachandran 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 Rohit Ramachandran sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 45 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Rohit Ramachandran is affiliated with Rutgers, The State University of New Jersey in the United States. This affiliation indicates involvement in academic research or teaching activities within a major public research university.

No information is available regarding recent papers, frequent co-authors, or frequent publication venues associated with Rohit Ramachandran. Similarly, there is no data on book publications, main fields of study, subfields, or specific topics of work linked to this researcher.

There are no awards recorded for Rohit Ramachandran in the provided data, and the scientist is currently living.

Due to the limited available data, a detailed account of the scientific contributions, research interests, or collaborations is not possible at this time.

Best Publications

  • Economic Analysis of Integrated Continuous and Batch Pharmaceutical Manufacturing: A Case Study

    Spencer D. Schaber;Dimitrios I. Gerogiorgis;Rohit Ramachandran;James M. B. Evans

  • Digital twins in pharmaceutical and biopharmaceutical manufacturing: A literature review

    Yingjie Chen;Ou Yang;Chaitanya Sampat;Pooja Bhalode

  • An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process

    Fani Boukouvala;Vasilios Niotis;Rohit Ramachandran;Fernando J. Muzzio

  • An engineering study on the enhanced control and operation of continuous manufacturing of pharmaceutical tablets via roller compaction.

    Ravendra Singh;Marianthi Ierapetritou;Rohit Ramachandran

  • System-wide hybrid MPC-PID control of a continuous pharmaceutical tablet manufacturing process via direct compaction.

    Ravendra Singh;Marianthi Ierapetritou;Rohit Ramachandran

  • A systematic framework for onsite design and implementation of a control system in a continuous tablet manufacturing process

    Ravendra Singh;Abhishek Sahay;Fernando J. Muzzio;Marianthi G. Ierapetritou

  • Implementation of an advanced hybrid MPC-PID control system using PAT tools into a direct compaction continuous pharmaceutical tablet manufacturing pilot plant.

    Ravendra Singh;Abhishek Sahay;Krizia M. Karry;Fernando Muzzio

  • Effective parameter estimation within a multi-dimensional population balance model framework

    Rohit Ramachandran;Paul I. Barton

  • A mechanistic model for breakage in population balances of granulation: Theoretical kernel development and experimental validation

    Rohit Ramachandran;Charles D. Immanuel;Frantisek Stepanek;James D. Litster

  • Experimental studies on distributions of granule size, binder content and porosity in batch drum granulation: Inferences on process modelling requirements and process sensitivities

    Rohit Ramachandran;Jonathan M.H. Poon;Constantijn F.W. Sanders;Thomas Glaser;Thomas Glaser

  • Multi-dimensional population balance model development and validation for a twin screw granulation process

    Dana Barrasso;Arwa El Hagrasy;James D. Litster;Rohit Ramachandran

  • Multi-scale modeling of granulation processes: Bi-directional coupling of PBM with DEM via collision frequencies

    Dana Barrasso;Rohit Ramachandran

  • A multi-scale, mechanistic model of a wet granulation process using a novel bi-directional PBM–DEM coupling algorithm

    Dana Barrasso;Thomas Eppinger;Frances E. Pereira;Ravindra Aglave

  • A Multi-Scale Hybrid CFD-DEM-PBM Description of a Fluid-Bed Granulation Process

    Maitraye Sen;Dana Barrasso;Ravendra Singh;Rohit Ramachandran

  • A comparison of model order reduction techniques for a four-dimensional population balance model describing multi-component wet granulation processes

    Dana Barrasso;Rohit Ramachandran

  • A multi-dimensional population balance model approach to continuous powder mixing processes

    Maitraye Sen;Rohit Ramachandran

  • Experimental validation studies on a multi-dimensional and multi-scale population balance model of batch granulation

    Jonathan M.-H. Poon;Rohit Ramachandran;Constantijn F. W. Sanders;Thomas Glaser;Thomas Glaser

  • Computer-Aided Flowsheet Simulation of a Pharmaceutical Tablet Manufacturing Process Incorporating Wet Granulation

    Fani Boukouvala;Anwesha Chaudhury;Maitraye Sen;Ruijie Zhou

  • A reduced order PBM–ANN model of a multi-scale PBM–DEM description of a wet granulation process

    Dana Barrasso;Ashutosh Tamrakar;Rohit Ramachandran

  • Real time monitoring of powder blend bulk density for coupled feed-forward/feed-back control of a continuous direct compaction tablet manufacturing process.

    Ravendra Singh;Andrés D. Román-Ospino;Rodolfo J. Romañach;Marianthi Ierapetritou

Frequent Co-Authors

Marianthi G. Ierapetritou
Marianthi G. Ierapetritou University of Delaware
Fernando J. Muzzio
Fernando J. Muzzio Rutgers, The State University of New Jersey
James D. Litster
James D. Litster University of Sheffield
Francis J. Doyle
Francis J. Doyle Brown University
Shantenu Jha
Shantenu Jha Rutgers, The State University of New Jersey
Benjamin J. Glasser
Benjamin J. Glasser Rutgers, The State University of New Jersey
Johannes Khinast
Johannes Khinast Graz University of Technology
Martin L. Yarmush
Martin L. Yarmush Rutgers, The State University of New Jersey
Nikhilesh Chawla
Nikhilesh Chawla Purdue University West Lafayette

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