World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
38
Citations
6817
World Ranking
2539
National Ranking
1425

Kay Giesecke publication distribution in Economics and Finance in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Economics and Finance in 2026. The highlighted bar marks where Kay Giesecke sits on this spectrum.

42–46 publications: 1 scientists 47–51 publications: 12 scientists 52–56 publications: 7 scientists 57–61 publications: 23 scientists 62–66 publications: 32 scientists 67–71 publications: 36 scientists 72–76 publications: 56 scientists 77–81 publications: 57 scientists 82–86 publications: 70 scientists 87–91 publications: 86 scientists 92–96 publications: 72 scientists 97–101 publications: 106 scientists 102–106 publications: 97 scientists 107–111 publications: 96 scientists 112–116 publications: 101 scientists 117–121 publications: 103 scientists 122–126 publications: 102 scientists 127–131 publications: 108 scientists 132–136 publications: 107 scientists 137–141 publications: 111 scientists 142–146 publications: 94 scientists 147–151 publications: 96 scientists 152–156 publications: 100 scientists 157–161 publications: 74 scientists 162–166 publications: 68 scientists 167–171 publications: 91 scientists 172–176 publications: 76 scientists 177–181 publications: 75 scientists 182–186 publications: 61 scientists 187–191 publications: 66 scientists 192–196 publications: 68 scientists 197–201 publications: 71 scientists 202–206 publications: 60 scientists 207–211 publications: 56 scientists 212–216 publications: 44 scientists 217–221 publications: 51 scientists 222–226 publications: 65 scientists 227–231 publications: 48 scientists 232–236 publications: 59 scientists 237–241 publications: 37 scientists 242–246 publications: 37 scientists 247–251 publications: 41 scientists 252–256 publications: 43 scientists 257–261 publications: 33 scientists 262–266 publications: 34 scientists 267–271 publications: 39 scientists 272–276 publications: 25 scientists 277–281 publications: 29 scientists 282–286 publications: 29 scientists 287–291 publications: 26 scientists 292–296 publications: 31 scientists 297–301 publications: 31 scientists 302–306 publications: 24 scientists 307–311 publications: 28 scientists 312–316 publications: 24 scientists 317–321 publications: 13 scientists 322–326 publications: 14 scientists 327–331 publications: 25 scientists 332–336 publications: 18 scientists 337–341 publications: 16 scientists 342–346 publications: 18 scientists 347–351 publications: 15 scientists 352–356 publications: 17 scientists 357–361 publications: 19 scientists 362–366 publications: 16 scientists 367–371 publications: 17 scientists 372–376 publications: 7 scientists 377–381 publications: 18 scientists 382–386 publications: 13 scientists 387–391 publications: 19 scientists 392–396 publications: 9 scientists 397–401 publications: 10 scientists 402–406 publications: 13 scientists 407–411 publications: 13 scientists 412–416 publications: 5 scientists 417–421 publications: 10 scientists 422–426 publications: 6 scientists 427–431 publications: 12 scientists 432–436 publications: 9 scientists 437–441 publications: 9 scientists 442–446 publications: 10 scientists 447–451 publications: 12 scientists 452–456 publications: 8 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 4 scientists 472–476 publications: 5 scientists 477–481 publications: 6 scientists 482–486 publications: 7 scientists 487–491 publications: 8 scientists 492–496 publications: 5 scientists 497–501 publications: 4 scientists 502–506 publications: 4 scientists 507–511 publications: 5 scientists 512–516 publications: 7 scientists 517–520 publications: 7 scientists 521+ publications: 99 scientists
42 publications 521+

This scientist: 120 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 521 publications or more.

Kay Giesecke D-index placement in Economics and Finance in 2026

The chart shows the D-index (discipline H-index) distribution of Economics and Finance scientists ranked by Research.com in 2026. The highlighted bar marks where Kay Giesecke sits on this spectrum.

30 D-Index: 126 scientists 31 D-Index: 147 scientists 32 D-Index: 157 scientists 33 D-Index: 178 scientists 34 D-Index: 171 scientists 35 D-Index: 141 scientists 36 D-Index: 132 scientists 37 D-Index: 129 scientists 38 D-Index: 130 scientists 39 D-Index: 120 scientists 40 D-Index: 117 scientists 41 D-Index: 113 scientists 42 D-Index: 114 scientists 43 D-Index: 97 scientists 44 D-Index: 115 scientists 45 D-Index: 86 scientists 46 D-Index: 78 scientists 47 D-Index: 83 scientists 48 D-Index: 62 scientists 49 D-Index: 74 scientists 50 D-Index: 50 scientists 51 D-Index: 66 scientists 52 D-Index: 69 scientists 53 D-Index: 55 scientists 54 D-Index: 67 scientists 55 D-Index: 61 scientists 56 D-Index: 62 scientists 57 D-Index: 45 scientists 58 D-Index: 34 scientists 59 D-Index: 47 scientists 60 D-Index: 46 scientists 61 D-Index: 36 scientists 62 D-Index: 37 scientists 63 D-Index: 56 scientists 64 D-Index: 50 scientists 65 D-Index: 32 scientists 66 D-Index: 28 scientists 67 D-Index: 30 scientists 68 D-Index: 24 scientists 69 D-Index: 25 scientists 70 D-Index: 22 scientists 71 D-Index: 21 scientists 72 D-Index: 26 scientists 73 D-Index: 24 scientists 74 D-Index: 23 scientists 75 D-Index: 12 scientists 76 D-Index: 14 scientists 77 D-Index: 15 scientists 78 D-Index: 15 scientists 79 D-Index: 17 scientists 80 D-Index: 17 scientists 81 D-Index: 11 scientists 82 D-Index: 10 scientists 83 D-Index: 16 scientists 84 D-Index: 11 scientists 85 D-Index: 5 scientists 86 D-Index: 9 scientists 87 D-Index: 13 scientists 88 D-Index: 9 scientists 89 D-Index: 7 scientists 90 D-Index: 6 scientists 91 D-Index: 4 scientists 92 D-Index: 8 scientists 93 D-Index: 10 scientists 94 D-Index: 11 scientists 95 D-Index: 6 scientists 96 D-Index: 4 scientists 97 D-Index: 4 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100 D-Index: 8 scientists 101+ D-Index: 100 scientists
30 D-Index 101+

This scientist: 38 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 101 D-Index or more.

Overview

Kay Giesecke is affiliated with Stanford University in the United States. Their research spans several interconnected fields including Finance, Information Systems, Management Information Systems, Management Science and Operations Research, and Statistics and Probability.

Their research topics cover a range of areas with a focus on stochastic and statistical methods applied in finance and technology. Key topics include:

  • Stochastic processes and financial applications
  • Blockchain Technology Applications and Security
  • Statistical Methods and Inference
  • FinTech, Crowdfunding, Digital Finance
  • Digital Platforms and Economics
  • Big Data and Business Intelligence
  • Probability and Risk Models

Kay Giesecke has contributed to several research publications, mainly appearing in these venues:

  • Management Science
  • SSRN Electronic Journal
  • Mathematics of Operations Research
  • arXiv (Cornell University)

Among the recent papers authored or co-authored by Giesecke are:

  • "Introduction to the Special Section on Data-Driven Prescriptive Analytics" (2022, Management Science)
  • "Reducing Bias in Event Time Simulations via Measure Changes" (2022, Mathematics of Operations Research)

Other notable papers connected with their research context include "Advances in Blockchain and Crypto Economics" (2023, Management Science) and calls for papers related to AI for finance and blockchains in Management Science.

Frequent co-authors collaborating with Kay Giesecke include:

  • Lin William Cong
  • Bruno Biais
  • Agostino Capponi
  • Vishal Gaur
  • Chung-Piaw Teo

Best Publications

  • Affine Point Processes and Portfolio Credit Risk

    Eymen Errais;Kay Giesecke;Lisa R. Goldberg

  • CORRELATED DEFAULT WITH INCOMPLETE INFORMATION

    Kay Giesecke

  • Corporate bond default risk: A 150-year perspective

    Kay Giesecke;Francis A. Longstaff;Stephen Schaefer;Ilya Strebulaev

  • Default and information

    Kay Giesecke

  • Cyclical correlations, credit contagion, and portfolio losses

    Kay Giesecke;Stefan Weber

  • Exploring the sources of default clustering

    S Azizpour;K. Giesecke;G. Schwenkler

  • Credit contagion and aggregate losses

    Kay Giesecke;Stefan Weber

  • A Top-Down Approach to Multiname Credit

    Kay Giesecke;Lisa R. Goldberg;Xiaowei Ding

  • Credit risk modeling and valuation: An introduction

    Kay Giesecke

  • Systemic Risk: What Defaults Are Telling Us

    Kay Giesecke;Baeho Kim

  • A Simple Exponential Model for Dependent Defaults

    Kay Giesecke

  • CREDIT RISK MODELING AND VALUATION: AN INTRODUCTION

    Kay Giesecke

  • A TOP DOWN APPROACH TO MULTI-NAME CREDIT

    Kay Giesecke;Lisa R. Goldberg

  • Handbook on systemic risk

    Jean-Pierre Fouque;Joseph A. Langsam

  • FORECASTING DEFAULT IN THE FACE OF UNCERTAINTY

    Kay Giesecke;Lisa R. Goldberg

  • Deep Learning for Mortgage Risk

    Justin Sirignano;Apaar Sadhwani;Kay Giesecke

  • Sequential defaults and incomplete information

    Kay Giesecke;Lisa Goldberg

  • Pricing Credit from the Top Down with Affine Point Processes

    Eymen Errais;Kay Giesecke;Lisa R. Goldberg

  • Macroeconomic effects of corporate default crisis: A long-term perspective

    Kay Giesecke;Francis A. Longstaff;Stephen Schaefer;Ilya A. Strebulaev

  • Method and apparatus for an incomplete information model of credit risk

    Lisa Robin Goldberg;Kay Giesecke

  • Assessing the Systemic Implications of Financial Linkages

    Jorge A. Chan-Lau;Marco Espinosa;Kay Giesecke;Juan A. Solé

  • Corporate Bond Default Risk: A 150-Year Perspective

    Kay Giesecke;Francis A. Longstaff;Francis A. Longstaff;Stephen M. Schaefer;Ilya A. Strebulaev;Ilya A. Strebulaev

  • Forecasting Default in the Face of Uncertainty

    Lisa R. Goldberg;Kay Giesecke

Frequent Co-Authors

Francis A. Longstaff
Francis A. Longstaff University of California, Los Angeles
Ilya A. Strebulaev
Ilya A. Strebulaev Stanford University
Xiaowei Zhang
Xiaowei Zhang Nanjing University
Peter W. Glynn
Peter W. Glynn Stanford University
Tze Leung Lai
Tze Leung Lai Stanford University
J. George Shanthikumar
J. George Shanthikumar Purdue University West Lafayette
Chung-Piaw Teo
Chung-Piaw Teo National University of Singapore
Bruno Biais
Bruno Biais Hautes Etudes Commerciales de Paris

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