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Maggi Kelly

D-Index & Metrics

Ecology and Evolution

D-Index
61
Citations
14888
World Ranking
2171
National Ranking
784

Maggi Kelly 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 Maggi Kelly 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: 177 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Maggi Kelly 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 Maggi Kelly 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: 61 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Maggi Kelly is affiliated with the University of California, Berkeley in the United States and specializes in environmental science with a focus on remote sensing applications, ecology, and environmental engineering. Their research encompasses a range of topics within environmental science, including ecology, nature and landscape conservation, global and planetary change, and plant science.

The scientist's main research topics include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Forest Ecology and Management
  • Wildlife Ecology and Conservation
  • Plant Water Relations and Carbon Dynamics
  • Ecology and Vegetation Dynamics Studies
  • Marine and Coastal Ecosystems

Maggi Kelly has contributed multiple papers to well-regarded journals in the field. Recent publications include:

  • "Development and Performance Evaluation of a Very Low-Cost UAV-Lidar System for Forestry Applications," 2020, published in Remote Sensing
  • "Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective," 2020, published in IEEE Geoscience and Remote Sensing Magazine
  • "Tree mortality during long-term droughts is lower in structurally complex forest stands," 2023, published in Nature Communications
  • "A Review of Unoccupied Aerial Vehicle Use in Wetland Applications: Emerging Opportunities in Approach, Technology, and Data," 2021, published in Drones
  • "Mapping algal bloom dynamics in small reservoirs using Sentinel-2 imagery in Google Earth Engine," 2022, published in Ecological Indicators

The scientist frequently publishes in:

  • Remote Sensing
  • Drones
  • IEEE Geoscience and Remote Sensing Magazine
  • Nature Communications
  • Ecological Indicators

Collaborations with other researchers have been an important part of Maggi Kelly's work. Frequent co-authors include:

  • Tianyu Hu
  • Yanjun Su
  • Qinghua Guo
  • Xiaoxia Zhao
  • Iryna Dronova

Within environmental science, the scientist's work integrates diverse aspects of ecology and environmental engineering, supporting research in forest ecology and management, wildlife conservation, and vegetation dynamics. Their publications reflect a focus on practical applications of remote sensing technology, such as UAV-based LiDAR systems and satellite imagery, to monitor and analyze ecological patterns and environmental changes.

Best Publications

  • Geographic Object-Based Image Analysis - Towards a new paradigm.

    Thomas Blaschke;Geoffrey J. Hay;Maggi Kelly;Stefan Lang

  • Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery

    Qian Yu;Peng Gong;Nick Clinton;Greg Biging

  • A New Method for Segmenting Individual Trees from the Lidar Point Cloud

    Wenkai Li;Qinghua Guo;Marek K. Jakubowski;Maggi Kelly

  • Isolating individual trees in a savanna woodland using small footprint lidar data

    Qi Chen;Dennis Baldocchi;Peng Gong;Maggi Kelly

  • Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images.

    José Manuel Peña;Jorge Torres-Sánchez;Ana Isabel de Castro;Maggi Kelly

  • Support vector machines for predicting distribution of Sudden Oak Death in California

    Qinghua Guo;Maggi Kelly;Catherine H. Graham;Catherine H. Graham

  • Classification of the wildland–urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography

    Casey Cleve;Maggi Kelly;Faith R. Kearns;Max Moritz

  • Interactions among wildland fires in a long-established Sierra Nevada natural fire area

    Brandon M. Collins;Jay D. Miller;Andrea E. Thode;Maggi Kelly

  • Tradeoffs between lidar pulse density and forest measurement accuracy

    Marek K. Jakubowski;Qinghua Guo;Maggi Kelly

  • Spatial patterns of large natural fires in Sierra Nevada wilderness areas

    Brandon M. Collins;Maggi Kelly;Jan W. van Wagtendonk;Scott L. Stephens

  • Twentieth-century shifts in forest structure in California: Denser forests, smaller trees, and increased dominance of oaks

    Patrick J. McIntyre;James H. Thorne;Christopher R. Dolanc;Alan L. Flint

  • Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches

    Marek K. Jakubowski;Wenkai Li;Qinghua Guo;Maggi Kelly

  • Citizen Science in the Age of Neogeography: Utilizing Volunteered Geographic Information for Environmental Monitoring

    John Patrick Connors;Shufei Lei;Maggi Kelly

  • Modeling Tidal Marsh Distribution with Sea-Level Rise: Evaluating the Role of Vegetation, Sediment, and Upland Habitat in Marsh Resiliency

    Lisa M. Schile;Lisa M. Schile;John C. Callaway;James T. Morris;Diana Stralberg

  • Landscape Dynamics of the Spread of Sudden Oak Death

    Maggi Kelly;Ross K. Meentemeyer

  • Evaluating Tidal Marsh Sustainability in the Face of Sea- Level Rise: A Hybrid Modeling Approach Applied to San Francisco Bay

    Diana Stralberg;Matthew Brennan;John C. Callaway;Julian K. Wood

  • Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

    Ovidiu Csillik;John Cherbini;Robert Johnson;Andy Lyons

  • A spatial–temporal approach to monitoring forest disease spread using multi-temporal high spatial resolution imagery

    Desheng Liu;Maggi Kelly;Peng Gong;Peng Gong

  • Which ‘public'? Sampling effects in public participation GIS (PPGIS) and volunteered geographic information (VGI) systems for public lands management

    Gregory Brown;Maggi Kelly;Debra Whitall

  • The challenges of measuring methane fluxes and concentrations over a peatland pasture

    Dennis D. Baldocchi;Matteo Detto;Oliver Sonnentag;Joe Verfaillie

  • Large Greenhouse Gas Emissions from a Temperate Peatland Pasture

    Yit Arn Teh;Yit Arn Teh;Whendee L. Silver;Oliver Sonnentag;Matteo Detto

  • Scales of environmental justice: combining GIS and spatial analysis for air toxics in West Oakland, California.

    Joshua B. Fisher;Maggi Kelly;Jeff Romm

Frequent Co-Authors

Qinghua Guo
Qinghua Guo Chinese Academy of Sciences
Brandon M. Collins
Brandon M. Collins University of California, Berkeley
Scott L. Stephens
Scott L. Stephens University of California, Berkeley
Peng Gong
Peng Gong University of Hong Kong
Oliver Sonnentag
Oliver Sonnentag University of Montreal
Lynn Huntsinger
Lynn Huntsinger University of California, Berkeley
Nancy E. Adler
Nancy E. Adler University of California, San Francisco
Dennis D. Baldocchi
Dennis D. Baldocchi University of California, Berkeley
Matteo Detto
Matteo Detto Princeton University
Andrew J. Karter
Andrew J. Karter Kaiser Permanente

External Links

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With these diverse online learning opportunities, you can build a solid foundation for careers both within and adjacent to Ecology and Evolution.

Best Scientists Citing Maggi Kelly

Qinghua Guo

Qinghua Guo

Chinese Academy of Sciences

Publications: 57

Scott L. Stephens

Scott L. Stephens

University of California, Berkeley

Publications: 54

Brandon M. Collins

Brandon M. Collins

University of California, Berkeley

Publications: 52

Dennis D. Baldocchi

Dennis D. Baldocchi

University of California, Berkeley

Publications: 41

Peng Gong

Peng Gong

University of Hong Kong

Publications: 41

Hugh D. Safford

Hugh D. Safford

University of California, Davis

Publications: 37

Ross K. Meentemeyer

Ross K. Meentemeyer

North Carolina State University

Publications: 36

Francisca López-Granados

Francisca López-Granados

Spanish National Research Council

Publications: 34

Nicholas C. Coops

Nicholas C. Coops

University of British Columbia

Publications: 34

Malcolm P. North

Malcolm P. North

US Forest Service

Publications: 32

David M. Rizzo

David M. Rizzo

University of California, Davis

Publications: 27

Thomas Blaschke

Thomas Blaschke

University of Salzburg

Publications: 27

Dirk Tiede

Dirk Tiede

University of Salzburg

Publications: 27

Matteo Garbelotto

Matteo Garbelotto

University of California, Berkeley

Publications: 23

Greg Brown

Greg Brown

California Polytechnic State University

Publications: 23

Ruiliang Pu

Ruiliang Pu

University of South Florida

Publications: 21

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