World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
56
Citations
11564
World Ranking
1016
National Ranking
631

Daniel P. McMillen 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 Daniel P. McMillen 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: 139 publications — 35th percentile

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

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

Daniel P. McMillen 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 Daniel P. McMillen 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: 56 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Daniel P. McMillen is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research focuses primarily on economics, econometrics, and finance, with significant contributions to subfields including economics and econometrics, accounting, management, monitoring, policy and law, global and planetary change, and demography.

The scientist's work covers several main topics, particularly housing market and economics, spatial and panel data analysis, financial literacy, pension and retirement analysis, land use and ecosystem services, urban planning and valuation, economic and environmental valuation, and regional economics and spatial analysis.

Recent publications by Daniel P. McMillen include:

  • Tracking the pulse of a city-3D real estate price heat maps, 2021, Journal of Regional Science
  • Decompositions of house price distributions over time: The rise and fall of Tokyo house prices, 2020, Real Estate Economics
  • Land value estimation using teardowns, 2022, Journal of Housing Economics
  • Measures of vertical inequality in assessments, 2023, Journal of Housing Economics

Frequent coauthors in McMillen's research include Tien Foo Sing, Eva Steiner, Hemalatha Kumar, Sumit Agarwal, and Ying Fan. These collaborations have contributed to a diverse range of publications and research projects.

McMillen publishes predominantly in the following venues:

  • Real Estate Economics
  • Journal of Housing Economics
  • SSRN Electronic Journal
  • Journal of Regional Science
  • Regional Science and Urban Economics

Best Publications

  • Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

    Unknown

  • Nonparametric Employment Subcenter Identification

    Daniel P. McMillen

  • Reaction of House Prices to a New Rapid Transit Line: Chicago's Midway Line, 1983–1999

    Daniel P. McMillen;John McDonald

  • One Hundred Fifty Years of Land Values in Chicago: A Nonparametric Approach

    Daniel P. McMillen

  • Suburban Subcenters and Employment Density in Metropolitan Chicago

    Daniel P. McMillen;John F. McDonald

  • The number of subcenters in large urban areas

    Daniel P. McMillen;Stefani C. Smith

  • PROBIT WITH SPATIAL AUTOCORRELATION

    Daniel P. McMillen

  • Urban Economics and Real Estate: Theory and Policy

    John F. McDonald;Daniel P. McMillen

  • Employment Subcenters and Land Values in a Polycentric Urban Area: The Case of Chicago:

    J. F. McDonald;Daniel P. McMillen

  • A nonparametric analysis of employment density in a polycentric city

    Daniel P. McMillen;John F. McDonald

  • Chapter 38 Agglomeration economies and urban public infrastructure

    Randall W. Eberts;Daniel P. McMillen

  • ISSUES IN SPATIAL DATA ANALYSIS

    Daniel P. McMillen

  • ESTIMATION AND HYPOTHESIS TESTING FOR NONPARAMETRIC HEDONIC HOUSE PRICE FUNCTIONS

    Daniel P. McMillen;Christian L. Redfearn

  • The return of centralization to Chicago: using repeat sales to identify changes in house price distance gradients

    Daniel P McMillen

  • Airport expansions and property values: the case of Chicago O'Hare Airport

    Daniel P. McMillen

  • Clustering of auto supplier plants in the United States: Generalized method of moments spatial logit for large samples

    Thomas Klier;Daniel P McMillen

  • Land Values in a Newly Zoned City

    Daniel P. McMillen;John F. McDonald

  • Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas

    Daniel P. McMillen

  • Changes in the distribution of house prices over time: Structural characteristics, neighborhood, or coefficients?

    Daniel P. McMillen

  • Teardowns and land values in the Chicago metropolitan area

    Richard F. Dye;Daniel P. McMillen

  • Evolving subcenters: employment and population densities in Chicago, 1970–2020

    Daniel P. McMillen;T. William Lester

Frequent Co-Authors

John F. McDonald
John F. McDonald Georgia Institute of Technology
Richard Arnott
Richard Arnott University of California, Riverside
Robert DeYoung
Robert DeYoung University of Kansas
Yongheng Deng
Yongheng Deng University of Wisconsin–Madison
W. Scott Frame
W. Scott Frame Federal Reserve Bank of Dallas
Sumit Agarwal
Sumit Agarwal National University of Singapore
N. Edward Coulson
N. Edward Coulson University of California, Irvine
Yves Zenou
Yves Zenou Monash University
Nancy E. Bockstael
Nancy E. Bockstael University of Maryland, College Park
David F. Hendry
David F. Hendry University of Oxford

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