World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
78
Citations
22990
World Ranking
18023
National Ranking
8984

Natesa G. Pandian publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Natesa G. Pandian sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 610 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 512 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Natesa G. Pandian D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Natesa G. Pandian sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 399 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 78 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Natesa G. Pandian is affiliated with Tufts Medical Center in the United States and conducts research primarily at the intersection of computer science and medicine. Their work spans computer science applications, artificial intelligence, health information management, information systems, and surgery.

Their published research includes studies related to artificial intelligence in healthcare, with a focus on cancer detection and diagnostic systems. Specific topics covered in their work include:

  • AI in cancer detection
  • Artificial Intelligence in Healthcare
  • Online Learning and Analytics
  • Educational Technology and Assessment
  • Hip disorders and treatments
  • Musculoskeletal Disorders and Rehabilitation
  • Sports injuries and prevention

Natesa G. Pandian has contributed to several peer-reviewed journals. Frequent venues for their publications include:

  • Iraqi Journal for Computer Science and Mathematics
  • International Journal of Pattern Recognition and Artificial Intelligence
  • International Journal of Nonlinear Analysis and Applications
  • Sudanese Journal of Paediatrics

Coauthors often collaborating with Natesa G. Pandian include:

  • D. Shanthi
  • N Selvaganesh
  • K. Deepika
  • M Sowjanya Reddy

The following are examples of their research publications, including full titles, publication years, and venues:

  • Hybrid Deep Learning-Based Automatic Diagnosis of Breast Cancer from Mammograms Using Segmentation and Feature Selection, 2025, International Journal of Pattern Recognition and Artificial Intelligence
  • A Novel Biased Probability Neural Network (BPNN) and Regularized Extreme Learning Machine (RELM) based Hearing Loss Prediction System, 2023, Iraqi Journal for Computer Science and Mathematics
  • An Articulate Heart Attack Detection System Using Mine Blast Optimization (MBO) Based Multilayer Perceptron Neural Network (MLPNN) Model, 2023, Iraqi Journal for Computer Science and Mathematics
  • Analysis of performance of accuracy by adding new features individually using Relief-F and Budget Tree Random Forest (RFBTRF) method, 2022, International Journal of Nonlinear Analysis and Applications
  • Pubic symphysitis of enthesitis related arthritis mimicking urinary tract infection in a young boy, 2024, Sudanese Journal of Paediatrics

Best Publications

  • EAE/ASE Recommendations for Image Acquisition and Display Using Three-Dimensional Echocardiography

    Roberto M. Lang;Luigi P. Badano;Wendy Tsang;David H. Adams

  • Hypertrophic Cardiomyopathy Is Predominantly a Disease of Left Ventricular Outflow Tract Obstruction

    Martin S. Maron;Iacopo Olivotto;Andrey G. Zenovich;Mark S. Link

  • Assessment of peripheral vascular endothelial function with finger arterial pulse wave amplitude

    Jeffrey T Kuvin;Ayan R Patel;Kathleen A Sliney;Natesa G Pandian

  • Revision of the Jones Criteria for the Diagnosis of Acute Rheumatic Fever in the Era of Doppler Echocardiography A Scientific Statement From the American Heart Association

    Michael H. Gewitz;Robert S. Baltimore;Lloyd Y. Tani;Craig A. Sable

  • Predicting recovery of severe regional ventricular dysfunction. Comparison of resting scintigraphy with 201Tl and 99mTc-sestamibi.

    J E Udelson;P S Coleman;J Metherall;N G Pandian

  • Morphological and Functional Characteristics of Patent Foramen Ovale and Their Embolic Implications

    Stefano De Castro;Domenico Cartoni;Marco Fiorelli;Maurizia Rasura

  • An experimental model of sudden death due to low-energy chest-wall impact (commotio cordis)

    Mark S. Link;Paul J. Wang;Natesa G. Pandian;Saroja Bharati

  • Effects of levosimendan on systemic and regional hemodynamics in septic myocardial depression.

    Andrea Morelli;Stefano De Castro;Jean-Louis Teboul;Mervyn Singer

  • Peripheral vascular endothelial function testing as a noninvasive indicator of coronary artery disease

    Jeffrey T Kuvin;Ayan R Patel;Kathleen A Sliney;Natesa G Pandian

  • Ultrasound angioscopy: real-time, two-dimensional, intraluminal ultrasound imaging of blood vessels.

    Natesa G. Pandian;Natesa G. Pandian;Andreas Kreis;Andreas Kreis;Barbara Brockway;Barbara Brockway;Jeffrey M. Isner;Jeffrey M. Isner

  • A novel mechanism for the beneficial vascular effects of high-density lipoprotein cholesterol: enhanced vasorelaxation and increased endothelial nitric oxide synthase expression.

    Jeffrey T. Kuvin;Maria E. Rämet;Ayan R. Patel;Natesa G. Pandian

  • Contrast echocardiography in acute myocardial ischemia: I. In vivo determination of total left ventricular "area at risk".

    Sanjiv Kaul;Natesa G. Pandian;Robert D. Okada;Gerald M. Pohost

  • Ventricular remodeling in a mouse model of myocardial infarction

    Richard D. Patten;Mark J. Aronovitz;Luz Deras-Mejia;Natesa G. Pandian

  • Variable effects of changes in flow rate through the aortic, pulmonary and mitral valves on valve area and flow velocity: impact on quantitative Doppler flow calculations.

    William J. Stewart;Leng Jiang;Robert Mich;Natesa Pandian

  • Heterogeneity of left ventricular segmental wall thickening and excursion in 2-dimensional echocardiograms of normal human subjects

    Natesa G. Pandian;David J. Skorton;Steve M. Collins;Herman L. Falsetti

  • Three-dimensional reconstruction of intracoronary ultrasound images. Rationale, approaches, problems, and directions.

    J. R. T. C. Roelandt;C. Di Mario;N. G. Pandian;Li Wenguang

  • Mechanically Unloading the Left Ventricle Before Coronary Reperfusion Reduces Left Ventricular Wall Stress and Myocardial Infarct Size

    Navin K. Kapur;Vikram Paruchuri;Jose Angel Urbano-Morales;Emily E. Mackey

  • Dynamic three-dimensional echocardiography: methods and clinical potential.

    Natesa G. Pandian;Jos Roelandt;Navin C. Nanda;Lissa Sugeng

  • Investigation of global and regional myocardial mechanics with 3-dimensional speckle tracking echocardiography and relations to hypertrophy and fibrosis in hypertrophic cardiomyopathy.

    Jose Angel Urbano-Moral;Ethan J. Rowin;Martin S. Maron;Andrew Crean

  • Reversible Cardiomyopathy Associated with Cocaine Intoxication

    Saurabh K. Chokshi;Richard Moore;Natesa G. Pandian;Jeffrey M. Isner

Frequent Co-Authors

Richard E. Kerber
Richard E. Kerber University of Iowa Hospitals and Clinics
Richard H. Karas
Richard H. Karas Tufts University
Siew Yen Ho
Siew Yen Ho Imperial College London
Marvin A. Konstam
Marvin A. Konstam Tufts Medical Center
Martin S. Maron
Martin S. Maron Tufts University
Itzhak Kronzon
Itzhak Kronzon Lenox Hill Hospital
James E. Udelson
James E. Udelson Tufts Medical Center
Mark S. Link
Mark S. Link The University of Texas Southwestern Medical Center
Antonio Pelliccia
Antonio Pelliccia Italian National Olympic Committee
Paul J. Wang
Paul J. Wang Stanford University

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