World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
42
Citations
9904
World Ranking
7448
National Ranking
21

Guido Makransky publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Guido Makransky sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 344 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 34 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–705 publications: 5 scientists 706+ publications: 100 scientists
31 publications 706+

This scientist: 96 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 706 publications or more.

Guido Makransky D-index placement in Psychology in 2026

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

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 559 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 87 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 79 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 42 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Best Publications

  • Adding immersive virtual reality to a science lab simulation causes more presence but less learning

    Guido Makransky;Thomas S. Terkildsen;Richard E. Mayer

  • The Cognitive Affective Model of Immersive Learning (CAMIL): a Theoretical Research-Based Model of Learning in Immersive Virtual Reality

    Guido Makransky;Gustav B. Petersen

  • A Structural Equation Modeling Investigation of the Emotional Value of Immersive Virtual Reality in Education.

    Guido Makransky;Lau Lilleholt

  • Critical Values for Yen’s Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations:

    Karl Bang Christensen;Guido Makransky;Mike Horton

  • Investigating the effect of pre-training when learning through immersive virtual reality and video: A media and methods experiment

    Oliver A. Meyer;Magnus K. Omdahl;Guido Makransky

  • Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments

    Guido Makransky;Stefan Borre-Gude;Richard E. Mayer

  • Development and validation of the Multimodal Presence Scale for virtual reality environments

    Guido Makransky;Lau Lilleholt;Anders Aaby

  • Improving biotech education through gamified laboratory simulations.

    Mads Bonde;Guido Makransky;Jakob Wandall;Mette Voldby Larsen

  • Benefits of Taking a Virtual Field Trip in Immersive Virtual Reality: Evidence for the Immersion Principle in Multimedia Learning

    Unknown

  • Immersive virtual reality increases liking but not learning with a science simulation and generative learning strategies promote learning in immersive virtual reality.

    Guido Makransky;Niels K. Andreasen;Sarune Baceviciute;Richard E. Mayer

  • Investigating the process of learning with desktop virtual reality: A structural equation modeling approach

    Guido Makransky;Gustav Bøg Petersen

  • A study of how immersion and interactivity drive VR learning

    Unknown

  • Early productive vocabulary predicts academic achievement 10 years later

    Dorthe Bleses;Guido Makransky;Philip S. Dale;Anders Højen

  • The virtual field trip: Investigating how to optimize immersive virtual learning in climate change education

    Gustav Bøg Petersen;Sara Klingenberg;Richard E. Mayer;Guido Makransky

  • Simulation based virtual learning environment in medical genetics counseling: an example of bridging the gap between theory and practice in medical education

    Guido Makransky;Mads Tvillinggaard Bonde;Julie S. G. Wulff;Jakob Wandall

  • A gender matching effect in learning with pedagogical agents in an immersive virtual reality science simulation

    Guido Makransky;Philip Wismer;Richard E. Mayer

  • Can an Immersive Virtual Reality Simulation Increase Students' Interest and Career Aspirations in Science?.

    Guido Makransky;Gustav Bøg Petersen;Sara Klingenberg

  • Remediating learning from non-immersive to immersive media: Using EEG to investigate the effects of environmental embeddedness on reading in Virtual Reality

    Sarune Baceviciute;Thomas Terkildsen;Guido Makransky

  • Testing Vocational Interests and Personality as Predictors of Person-Vocation and Person-Job Fit:

    Karen Holcombe Ehrhart;Guido Makransky

  • Investigating the effect of teaching as a generative learning strategy when learning through desktop and immersive VR: A media and methods experiment

    Sara Klingenberg;Maria L. M. Jørgensen;Gert Dandanell;Karen Skriver

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