World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
7294
World Ranking
6923
National Ranking
128

Lalit Chandra Saikia 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 Lalit Chandra Saikia 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: 224 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Lalit Chandra Saikia 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 Lalit Chandra Saikia 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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Lalit Chandra Saikia is affiliated with the National Institute Of Technology Silchar in India. Their research primarily focuses on engineering, with a strong emphasis on electrical and electronic engineering as well as control and systems engineering. Their work extends to energy engineering and power technology, renewable energy, sustainability, environment, and condensed matter physics.

Their key research topics include:

  • Microgrid Control and Optimization
  • Frequency Control in Power Systems
  • Power System Optimization and Stability
  • HVDC Systems and Fault Protection
  • Advanced battery technologies research
  • Photovoltaic System Optimization Techniques
  • Smart Grid Energy Management

Lalit Chandra Saikia has contributed to various publication venues, with multiple works published in:

  • IETE Journal of Research
  • Energy Storage
  • 2022 4th International Conference on Energy, Power and Environment (ICEPE)
  • International Transactions on Electrical Energy Systems
  • IFAC-PapersOnLine

Their recent papers include the following:

  • "A Comprehensive Review of Recent Strategies on Automatic Generation Control/Load Frequency Control in Power Systems," 2022, Archives of Computational Methods in Engineering
  • "Load frequency control of a multi-area system incorporating realistic high-voltage direct current and dish-Stirling solar thermal system models under deregulated scenario," 2021, IET Renewable Power Generation
  • "A Novel Resilient Control of Grid-Integrated Solar PV-Hybrid Energy Storage Microgrid for Power Smoothing and Pulse Power Load Accommodation," 2022, IEEE Transactions on Power Electronics
  • "An Improved Voltage and Frequency Control for Islanded Microgrid Using BPF Based Droop Control and Optimal Third Harmonic Injection PWM Scheme," 2021, IEEE Transactions on Industry Applications
  • "Optimal Coordinated Frequency and Voltage Control of CCGT-Thermal Plants with TIDF Controller," 2021, IETE Journal of Research

Frequent co-authors of Lalit Chandra Saikia include:

  • Naladi Ram Babu
  • Sanjeev Kumar Bhagat
  • Biswanath Dekaraja
  • Satish Kumar Ramoji
  • Manoja Kumar Behera

Best Publications

  • Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control

    J. Nanda;S. Mishra;L.C. Saikia

  • Performance comparison of several classical controllers in AGC for multi-area interconnected thermal system

    Lalit Chandra Saikia;J. Nanda;S. Mishra

  • Automatic generation control of multi area thermal system using Bat algorithm optimized PD–PID cascade controller

    Puja Dash;Lalit Chandra Saikia;Nidul Sinha

  • Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller

    More Raju;Lalit Chandra Saikia;Nidul Sinha

  • Automatic generation control of a multi-area ST – Thermal power system using Grey Wolf Optimizer algorithm based classical controllers

    Yatin Sharma;Lalit Chandra Saikia

  • Automatic generation control using two degree of freedom fractional order PID controller

    Sanjoy Debbarma;Lalit Chandra Saikia;Nidul Sinha

  • AGC of a multi-area thermal system under deregulated environment using a non-integer controller

    Sanjoy Debbarma;Lalit Chandra Saikia;Nidul Sinha

  • Flower Pollination Algorithm Optimized PI-PD Cascade Controller in Automatic Generation Control of a Multi-area Power System

    Puja Dash;Lalit Chandra Saikia;Nidul Sinha

  • Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller

    Lalit Chandra Saikia;Sukumar Mishra;Nidul Sinha;J. Nanda

  • Comparison of performances of several Cuckoo search algorithm based 2DOF controllers in AGC of multi-area thermal system

    Puja Dash;Lalit Chandra Saikia;Nidul Sinha

  • Automatic generation control of a combined cycle gas turbine plant with classical controllers using Firefly Algorithm

    Lalit Chandra Saikia;Shashi Kant Sahu

  • Load frequency control of a hydro-thermal system under deregulated environment using biogeography-based optimised three-degree-of-freedom integral-derivative controller

    Asadur Rahman;Lalit Chandra Saikia;Nidul Sinha

  • Automatic generation control of an interconnected two-area hybrid thermal system considering dish-stirling solar thermal and wind turbine system

    Asadur Rahman;Lalit Chandra Saikia;Nidul Sinha

  • Comparison of performances of several FACTS devices using Cuckoo search algorithm optimized 2DOF controllers in multi-area AGC

    Puja Dash;Lalit Chandra Saikia;Nidul Sinha

  • A Comprehensive Review of Recent Strategies on Automatic Generation Control/Load Frequency Control in Power Systems

    Unknown

  • Performance comparison of several energy storage devices in deregulated AGC of a multi-area system incorporating geothermal power plant

    Washima Tasnin;Lalit Chandra Saikia

  • Deregulated AGC of multi-area system incorporating dish-Stirling solar thermal and geothermal power plants using fractional order cascade controller

    Washima Tasnin;Lalit Chandra Saikia;More Raju

  • Utilisation of ultra-capacitor in load frequency control under restructured STPP-thermal power systems using WOA optimised PIDN-FOPD controller

    Arindita Saha;Lalit Chandra Saikia

  • Solution to automatic generation control problem using firefly algorithm optimized IλDµ controller

    Sanjoy Debbarma;Lalit Chandra Saikia;Nidul Sinha

  • Maiden application of bacterial foraging based fuzzy IDD controller in AGC of a multi-area hydrothermal system

    Lalit Chandra Saikia;Nidul Sinha;J. Nanda

  • Combined control of voltage and frequency of multi-area multisource system incorporating solar thermal power plant using LSA optimised classical controllers

    Rumi Rajbongshi;Lalit Chandra Saikia

Frequent Co-Authors

Nidul Sinha
Nidul Sinha National Institute Of Technology Silchar
Sukumar Mishra
Sukumar Mishra Indian Institute of Technology Delhi
Loi Lei Lai
Loi Lei Lai Guangdong University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As the landscape of engineering and technology evolves, interdisciplinary skills are increasingly valuable in today’s job market. Depending on your interests, pursuing an online business or management degree may open up additional career pathways beyond traditional engineering roles.

For those interested in innovation, an online mba entrepreneurship degree can help you gain vital business skills to launch your own tech startup. If you’re aiming for leadership but want flexibility in admissions, there are several top online mba programs no gmat required, making it easier for engineering graduates to transition into management roles.

Technical professionals looking to specialize in coordination and team leadership can benefit from earning a project manager degree online, which focuses on skills like project planning, budgeting, and risk management widely needed in tech industries. Alternatively, if you are interested in real estate development or property technology (proptech), a real estate degree can help you break into this dynamic sector.

Exploring these online degrees helps you adapt your engineering background to evolving career opportunities in today’s competitive market.

Best Scientists Citing Lalit Chandra Saikia

Trending Scientists

Recently Published Articles