World's Best Scientists 2026 revealed!
Michael K. Schwartz

Michael K. Schwartz

D-Index & Metrics

Ecology and Evolution

D-Index
64
Citations
22406
World Ranking
1833
National Ranking
670

Michael K. Schwartz publication distribution in Ecology and Evolution in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Ecology and Evolution in 2026. The highlighted bar marks where Michael K. Schwartz sits on this spectrum.

37–41 publications: 2 scientists 42–46 publications: 9 scientists 47–51 publications: 10 scientists 52–56 publications: 31 scientists 57–61 publications: 56 scientists 62–66 publications: 91 scientists 67–71 publications: 92 scientists 72–76 publications: 127 scientists 77–81 publications: 173 scientists 82–86 publications: 236 scientists 87–91 publications: 227 scientists 92–96 publications: 240 scientists 97–101 publications: 333 scientists 102–106 publications: 280 scientists 107–111 publications: 300 scientists 112–116 publications: 285 scientists 117–121 publications: 305 scientists 122–126 publications: 287 scientists 127–131 publications: 278 scientists 132–136 publications: 289 scientists 137–141 publications: 273 scientists 142–146 publications: 262 scientists 147–151 publications: 246 scientists 152–156 publications: 235 scientists 157–161 publications: 205 scientists 162–166 publications: 199 scientists 167–171 publications: 174 scientists 172–176 publications: 164 scientists 177–181 publications: 173 scientists 182–186 publications: 189 scientists 187–191 publications: 170 scientists 192–196 publications: 139 scientists 197–201 publications: 128 scientists 202–206 publications: 117 scientists 207–211 publications: 115 scientists 212–216 publications: 107 scientists 217–221 publications: 124 scientists 222–226 publications: 81 scientists 227–231 publications: 82 scientists 232–236 publications: 85 scientists 237–241 publications: 75 scientists 242–246 publications: 66 scientists 247–251 publications: 81 scientists 252–256 publications: 69 scientists 257–261 publications: 70 scientists 262–266 publications: 55 scientists 267–271 publications: 64 scientists 272–276 publications: 49 scientists 277–281 publications: 48 scientists 282–286 publications: 44 scientists 287–291 publications: 45 scientists 292–296 publications: 36 scientists 297–301 publications: 39 scientists 302–306 publications: 38 scientists 307–311 publications: 30 scientists 312–316 publications: 34 scientists 317–321 publications: 25 scientists 322–326 publications: 22 scientists 327–331 publications: 28 scientists 332–336 publications: 30 scientists 337–341 publications: 22 scientists 342–346 publications: 30 scientists 347–351 publications: 26 scientists 352–356 publications: 22 scientists 357–361 publications: 29 scientists 362–366 publications: 21 scientists 367–371 publications: 12 scientists 372–376 publications: 18 scientists 377–381 publications: 17 scientists 382–386 publications: 13 scientists 387–391 publications: 21 scientists 392–396 publications: 13 scientists 397–401 publications: 10 scientists 402–406 publications: 15 scientists 407–411 publications: 8 scientists 412–416 publications: 9 scientists 417–421 publications: 8 scientists 422–426 publications: 4 scientists 427–431 publications: 10 scientists 432–436 publications: 10 scientists 437–441 publications: 5 scientists 442–446 publications: 4 scientists 447–451 publications: 10 scientists 452–456 publications: 2 scientists 457–461 publications: 4 scientists 462–466 publications: 7 scientists 467–471 publications: 7 scientists 472–476 publications: 6 scientists 477–481 publications: 6 scientists 482–486 publications: 3 scientists 487–491 publications: 3 scientists 492–496 publications: 4 scientists 497–501 publications: 4 scientists 502–506 publications: 8 scientists 507–511 publications: 5 scientists 512–516 publications: 4 scientists 517–521 publications: 5 scientists 522–526 publications: 4 scientists 527–530 publications: 5 scientists 531+ publications: 100 scientists
37 publications 531+

This scientist: 247 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 531 publications or more.

Michael K. Schwartz D-index placement in Ecology and Evolution in 2026

The chart shows the D-index (discipline H-index) distribution of Ecology and Evolution scientists ranked by Research.com in 2026. The highlighted bar marks where Michael K. Schwartz sits on this spectrum.

30 D-Index: 95 scientists 31 D-Index: 123 scientists 32 D-Index: 191 scientists 33 D-Index: 245 scientists 34 D-Index: 252 scientists 35 D-Index: 244 scientists 36 D-Index: 249 scientists 37 D-Index: 244 scientists 38 D-Index: 254 scientists 39 D-Index: 254 scientists 40 D-Index: 280 scientists 41 D-Index: 274 scientists 42 D-Index: 266 scientists 43 D-Index: 233 scientists 44 D-Index: 248 scientists 45 D-Index: 208 scientists 46 D-Index: 201 scientists 47 D-Index: 213 scientists 48 D-Index: 207 scientists 49 D-Index: 172 scientists 50 D-Index: 209 scientists 51 D-Index: 199 scientists 52 D-Index: 153 scientists 53 D-Index: 169 scientists 54 D-Index: 163 scientists 55 D-Index: 148 scientists 56 D-Index: 120 scientists 57 D-Index: 146 scientists 58 D-Index: 137 scientists 59 D-Index: 140 scientists 60 D-Index: 104 scientists 61 D-Index: 119 scientists 62 D-Index: 118 scientists 63 D-Index: 99 scientists 64 D-Index: 77 scientists 65 D-Index: 100 scientists 66 D-Index: 86 scientists 67 D-Index: 83 scientists 68 D-Index: 75 scientists 69 D-Index: 94 scientists 70 D-Index: 57 scientists 71 D-Index: 68 scientists 72 D-Index: 59 scientists 73 D-Index: 63 scientists 74 D-Index: 66 scientists 75 D-Index: 60 scientists 76 D-Index: 42 scientists 77 D-Index: 49 scientists 78 D-Index: 39 scientists 79 D-Index: 37 scientists 80 D-Index: 43 scientists 81 D-Index: 41 scientists 82 D-Index: 45 scientists 83 D-Index: 34 scientists 84 D-Index: 40 scientists 85 D-Index: 35 scientists 86 D-Index: 55 scientists 87 D-Index: 24 scientists 88 D-Index: 24 scientists 89 D-Index: 30 scientists 90 D-Index: 23 scientists 91 D-Index: 25 scientists 92 D-Index: 27 scientists 93 D-Index: 27 scientists 94 D-Index: 13 scientists 95 D-Index: 23 scientists 96 D-Index: 12 scientists 97 D-Index: 14 scientists 98 D-Index: 19 scientists 99 D-Index: 16 scientists 100 D-Index: 14 scientists 101 D-Index: 5 scientists 102 D-Index: 21 scientists 103 D-Index: 16 scientists 104 D-Index: 10 scientists 105 D-Index: 7 scientists 106 D-Index: 7 scientists 107 D-Index: 7 scientists 108 D-Index: 6 scientists 109 D-Index: 9 scientists 110 D-Index: 11 scientists 111 D-Index: 12 scientists 112 D-Index: 9 scientists 113 D-Index: 7 scientists 114 D-Index: 3 scientists 115 D-Index: 8 scientists 116 D-Index: 5 scientists 117 D-Index: 11 scientists 118 D-Index: 4 scientists 119 D-Index: 2 scientists 120 D-Index: 5 scientists 121+ D-Index: 100 scientists
30 D-Index 121+

This scientist: 64 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 121 D-Index or more.

Overview

Michael K. Schwartz is affiliated with the US Forest Service in the United States. Their research contributions span multiple areas within environmental science and molecular biology, with a focus on ecological and genetic aspects of biodiversity and conservation.

The scientist's recent publications include the following papers:

  • Making environmental DNA (eDNA) biodiversity records globally accessible, 2020, Environmental DNA
  • Parallel, targeted analysis of environmental samples via high-throughput quantitative PCR, 2020, Environmental DNA
  • eDNAssay: A machine learning tool that accurately predicts qPCR cross-amplification, 2022, Molecular Ecology Resources
  • Connecting research and practice to enhance the evolutionary potential of species under climate change, 2023, Conservation Science and Practice
  • Molecular genetic analysis of air, water, and soil to detect big brown bats in North America, 2021, Biological Conservation

Frequent coauthors collaborating with Michael K. Schwartz include:

  • Kristine L. Pilgrim
  • Taylor M. Wilcox
  • Kevin S. McKelvey
  • Michael K. Young
  • Thomas W. Franklin

The scientist's publications are often featured in venues such as:

  • Environmental DNA
  • Ecology and Evolution
  • Trends in Ecology & Evolution
  • Journal of Wildlife Management
  • Landscape Ecology

Michael K. Schwartz's primary fields of study encompass:

  • Environmental Science
  • Biochemistry, Genetics and Molecular Biology

Subfields of study in which the scientist has extensively contributed include:

  • Ecology
  • Molecular Biology
  • Genetics
  • Ecological Modeling
  • Nature and Landscape Conservation

The main research topics addressed in their work cover:

  • Environmental DNA in Biodiversity Studies
  • Species Distribution and Climate Change
  • Identification and Quantification in Food
  • Wildlife Ecology and Conservation
  • Genetic diversity and population structure
  • Fish Ecology and Management Studies
  • Fire effects on ecosystems

Overall, the scientist's interdisciplinary approach integrates molecular techniques with ecological modeling and conservation science to study species and ecosystems across various environments and scales.

Best Publications

  • Landscape genetics: combining landscape ecology and population genetics

    Stephanie Manel;Michael K. Schwartz;Gordon Luikart;Pierre Taberlet

  • Genetic monitoring as a promising tool for conservation and management

    Michael K. Schwartz;Gordon Luikart;Gordon Luikart;Robin S. Waples

  • Gene Flow in Complex Landscapes: Testing Multiple Hypotheses with Causal Modeling.

    Samuel A. Cushman;Kevin Scot McKelvey;Jim Hayden;Michael K. Schwartz

  • Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches

    Gordon Luikart;Nils Ryman;David A. Tallmon;Michael K. Schwartz

  • Compromising genetic diversity in the wild: unmonitored large-scale release of plants and animals

    Linda Laikre;Michael K. Schwartz;Robin S. Waples;Nils Ryman

  • Genomics and the challenging translation into conservation practice

    Aaron B. A. Shafer;Jochen B. W. Wolf;Paulo C. Alves;Linnea Bergstrom

  • Robust Detection of Rare Species Using Environmental DNA: the Importance of Primer Specificity

    Taylor M. Wilcox;Kevin Scot McKelvey;Michael K. Young;Stephen F. Jane

  • Quantifying the lag time to detect barriers in landscape genetics

    E. L. Landguth;S. A. Cushman;M. K. Schwartz;K. S. McKELVEY

  • ESTIMATING ANIMAL ABUNDANCE USING NONINVASIVE DNA SAMPLING: PROMISE AND PITFALLS

    L. Scott Mills;John J. Citta;Kevin P. Lair;Michael K. Schwartz

  • Advancing ecological understandings through technological transformations in noninvasive genetics.

    Albano Beja‐Pereira;Rita Oliveira;Paulo C. Alves;Michael K. Schwartz

  • Distance, flow and PCR inhibition: eDNA dynamics in two headwater streams

    Stephen F. Jane;Taylor M. Wilcox;Kevin S. McKelvey;Michael K. Young

  • Why sampling scheme matters: the effect of sampling scheme on landscape genetic results

    Michael K. Schwartz;Kevin S. McKelvey

  • Understanding and Estimating Effective Population Size for Practical Application in Marine Species Management

    Matthew P. Hare;Leonard Nunney;Michael K. Schwartz;Daniel Eduardo Ruzzante

  • Understanding environmental DNA detection probabilities: A case study using a stream-dwelling char Salvelinus fontinalis

    Taylor M. Wilcox;Taylor M. Wilcox;Kevin S. McKelvey;Michael K. Young;Adam J. Sepulveda

  • The climate velocity of the contiguous United States during the 20th century.

    Solomon Z. Dobrowski;John Abatzoglou;Alan K. Swanson;Jonathan A. Greenberg

  • Neglect of genetic diversity in implementation of the convention on biological diversity.

    Linda Laikre;Fred W. Allendorf;Laurel C. Aroner;C. Scott Baker

  • Wolverine gene flow across a narrow climatic niche.

    Michael K. Schwartz;Jeffrey P. Copeland;Neil J. Anderson;John R. Squires

  • DNA reveals high dispersal synchronizing the population dynamics of Canada lynx

    Michael K. Schwartz;Michael K. Schwartz;L. Scott Mills;Kevin S. McKelvey;Leonard F. Ruggiero

  • Felid sex identification based on noninvasive genetic samples

    K. L. Pilgrim;K. S. Mckelvey;A. E. Riddle;M. K. Schwartz

  • GENETIC ERRORS ASSOCIATED WITH POPULATION ESTIMATION USING NON‐INVASIVE MOLECULAR TAGGING: PROBLEMS AND NEW SOLUTIONS

    Kevin S. McKELVEY;Michael K. Schwartz

  • Use of empirically derived source-destination models to map regional conservation corridors

    Samuel A. Cushman;Kevin S. McKELVEY;Michael K. Schwartz

  • Compromising genetic diversity in thewild: unmonitored large-scale releaseof plants and animals

    Linda Laikre;Michael K. Schwartz;Robin Waples;Nils Ryman

Frequent Co-Authors

Kevin S. McKelvey
Kevin S. McKelvey US Forest Service
Michael K. Young
Michael K. Young US Forest Service
Gordon Luikart
Gordon Luikart University of Montana
Samuel A. Cushman
Samuel A. Cushman University of Oxford
Fred W. Allendorf
Fred W. Allendorf University of Montana
Keith B. Aubry
Keith B. Aubry US Forest Service
John R. Squires
John R. Squires US Forest Service
William J. Zielinski
William J. Zielinski US Forest Service
Robin S. Waples
Robin S. Waples University of Washington
Winsor H. Lowe
Winsor H. Lowe University of Montana

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