World's Best Scientists 2026 revealed!
Housila P. Singh

Housila P. Singh

D-Index & Metrics

Mathematics

D-Index
37
Citations
4480
World Ranking
2548
National Ranking
29

Housila P. Singh publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Housila P. Singh sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 323 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Housila P. Singh D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Housila P. Singh sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Housila P. Singh is affiliated with Vikram University in India and has a research focus primarily spanning Agricultural and Biological Sciences and Environmental Science. Their work engages extensively with the subfields of Plant Science, Pollution, Industrial and Manufacturing Engineering, Molecular Biology, and Ecology, Evolution, Behavior and Systematics.

The scientist's research topics include Constructed Wetlands for Wastewater Treatment, Plant responses to elevated CO2, Plant Parasitism and Resistance, Plant Stress Responses and Tolerance, Heavy metals in environment, Nanoparticles: synthesis and applications, and Photosynthetic Processes and Mechanisms.

Frequent collaborators in their work have included Deepak Kumar, Vineet Soni, Upma Bhatt, and Shani Raj.

Their research output has appeared in a number of publication venues, with repeat contributions to the following journals:

  • Scientific Reports
  • Biochemistry and Biophysics Reports
  • Environmental Pollution and Management
  • Heliyon
  • npj Emerging Contaminants

Among their published papers are the following titles, presented with publication year and venue:

  • Biogenic synthesis of AgNPs employing Terminalia arjuna leaf extract and its efficacy towards catalytic degradation of organic dyes, 2020, Scientific Reports
  • Chlorophyll a fluorescence kinetics of mung bean (Vigna radiata L.) grown under artificial continuous light, 2020, Biochemistry and Biophysics Reports
  • Performance of chlorophyll a fluorescence parameters in Lemna minor under heavy metal stress induced by various concentration of copper, 2022, Scientific Reports
  • Copper and mercury induced oxidative stresses and antioxidant responses of Spirodela polyrhiza (L.) Schleid, 2020, Biochemistry and Biophysics Reports
  • Advancements in natural remediation management techniques for oil spills: Challenges, innovations, and future directions, 2024, Environmental Pollution and Management

Best Publications

  • Use of Transformed Auxiliary Variable in Estimating the Finite Population Mean

    Lakshmi N. Upadhyaya;Housila P. Singh

  • On linear regression and ratio–product estimation of a finite population mean

    Housila P. Singh;Mariano Ruiz Espejo

  • Modified Exponential Ratio and Product Estimators for Finite Population Mean in Double Sampling

    Housila P. Singh;Gajendra K. Vishwakarma

  • A REGRESSION APPROACH TO THE ESTIMATION OF THE FINITE POPULATION MEAN IN THE PRESENCE OF NON-RESPONSE

    Housila P. Singh;Sunil Kumar

  • Estimation of mean in presence of non-response using two phase sampling scheme

    Housila P. Singh;Sunil Kumar

  • Successive Sampling Using Auxiliary Information on Both the Occasions

    R.S. Biradar;H.P. Singh

  • A new procedure for variance estimation in simple random sampling using auxiliary information

    Housila P. Singh;Ramkrishna S. Solanki

  • Some improved ratio-type estimators of finite population variance in sample surveys

    B. Prasad;H.P. Singh

  • A Family of Estimators of Population Mean Using Auxiliary Information in Stratified Sampling

    Housila P. Singh;Gajendra K. Vishwakarma

  • An Alternative Estimator for Estimating the Finite Population Mean Using Auxiliary Information in Sample Surveys

    Ramkrishna S. Solanki;Housila P. Singh;Anjana Rathour

  • Improved Estimation of Finite-Population Mean Using Sub-Sampling to Deal with Non Response in Two-Phase Sampling Scheme

    Housila P. Singh;Sunil Kumar;Marcin Kozak

  • A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information

    Housila P. Singh;Sunil Kumar

  • Improved estimation of population mean in simple random sampling using information on auxiliary attribute

    Housila P. Singh;Ramkrishna S. Solanki

  • Estimation of finite population mean using known correlation coefficient between auxiliary characters

    Housila P. Singh;Rajesh Tailor

  • A modified estimator of population mean using power transformation

    Housila P. Singh;Rajesh Tailor;Sarjinder Singh;Jong Min Kim

  • Unbiased estimators of finite population variance using auxiliary information in sample surveys

    B. Prasad;H. P. Singh

  • Improved Ratio and Product Exponential Type Estimators

    Lakshmi N. Upadhyaya;Housila P. Singh;S. Chatterjee;Rohini Yadav

  • A General Procedure for Estimating Population Mean in Successive Sampling

    Housila P. Singh;Gajendra K. Vishwakarma

  • An alternative to the ratio-cum-product estimator in sample surveys

    D.S. Tracy;H.P. Singh;R. Singh

  • Double Sampling Ratio-product Estimator of a Finite Population Mean in Sample Surveys

    Housila P. Singh;Mariano Ruiz Espejo

  • A Class of Estimators Using Auxiliary Information for Estimating Finite Population Variance in Presence of Measurement Errors

    Housila P. Singh;Namrata Karpe

  • Combination of regression and ratio estimate in presence of nonresponse

    Housila P. Singh;Sunil Kumar

  • Ratio-cum-product type exponential estimator

    Housila P. Singh;Lakshmi N. Upadhyaya;Rajesh Tailor

Frequent Co-Authors

Sarjinder Singh
Sarjinder Singh Texas A&M University – Kingsville
Saralees Nadarajah
Saralees Nadarajah University of Manchester
Florentin Smarandache
Florentin Smarandache University of New Mexico
Vijay K. Singh
Vijay K. Singh Uniformed Services University of the Health Sciences
Jose L. Salmeron
Jose L. Salmeron CUNEF University

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