World's Best Scientists 2026 revealed!
David L. Patton

David L. Patton

D-Index & Metrics

Computer Science

D-Index
36
Citations
5362
World Ranking
11279
National Ranking
278

David L. Patton publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where David L. Patton sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

David L. Patton D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where David L. Patton sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mechanical engineering
  • Electrical engineering

David L. Patton mainly investigates Artificial intelligence, Computer vision, Computer graphics, Image and Scanner. David L. Patton combines topics linked to Preference with his work on Artificial intelligence. His study in the field of Digital camera also crosses realms of Controller, Process and Set.

His Computer graphics research includes elements of Resin coating, Frame, Code, Digital printing and Data stream. He is interested in Digital image, which is a field of Image. David L. Patton interconnects Microprocessor, Layer, Negative and Sample in the investigation of issues within Scanner.

His most cited work include:

  • System and method for remotely selecting photographic images (368 citations)
  • Interactive image storage, indexing and retrieval system (257 citations)
  • Method and apparatus for modifying a portion of an image in accordance with colorimetric parameters (177 citations)

What are the main themes of his work throughout his whole career to date?

David L. Patton spends much of his time researching Computer graphics, Artificial intelligence, Computer vision, Optics and Photographic processing. His study looks at the intersection of Computer graphics and topics like Data stream with Digital cinema and Digital data. In his work, Multimedia is strongly intertwined with Motion picture, which is a subfield of Digital cinema.

His study in Image and Digital image are all subfields of Computer vision. His work in Optics addresses issues such as Optoelectronics, which are connected to fields such as Layer, Organic laser and Laser. The Photographic processing study combines topics in areas such as Acoustics, Nozzle, Engineering drawing and Rack.

He most often published in these fields:

  • Computer graphics (19.93%)
  • Artificial intelligence (16.01%)
  • Computer vision (14.71%)

What were the highlights of his more recent work (between 2003-2006)?

  • Optoelectronics (8.82%)
  • Sequestering Agent (3.27%)
  • Nanotechnology (3.27%)

In recent papers he was focusing on the following fields of study:

Optoelectronics, Sequestering Agent, Nanotechnology, Optics and Layer are his primary areas of study. The study incorporates disciplines such as Display device, Laser and Light source in addition to Optoelectronics. His study looks at the relationship between Optics and topics such as Substrate, which overlap with Pixel.

Within the field of Computer vision and Artificial intelligence David L. Patton studies Pixel. The Computer vision study which covers Frame that intersects with Image. His work deals with themes such as Data stream and Digital cinema, Computer graphics, which intersect with Image.

Between 2003 and 2006, his most popular works were:

  • Programmable spectral imaging system (128 citations)
  • Remote diagnostic device for medical testing (76 citations)
  • Flexible organic laser printer (61 citations)

In his most recent research, the most cited papers focused on:

  • Mechanical engineering
  • Artificial intelligence
  • Electrical engineering

His scientific interests lie mostly in Optoelectronics, Optics, Nanotechnology, Waste management and Sequestering Agent. His Optoelectronics research is multidisciplinary, relying on both Pixel, Beam, Light source, OLED and Laser. His study in the field of Organic laser is also linked to topics like Perpendicular.

His Optics study frequently links to other fields, such as Image plane. His study of Layer is a part of Nanotechnology. His Waste management study integrates concerns from other disciplines, such as Nanoparticle, Container, Nutrient and Chromatography.

Best Publications

  • System and method for remotely selecting photographic images

    John Randall Fredlund;David Lynn Patton;Roger R. A. Morton;Steven Bruce Paciocco

  • Interactive image storage, indexing and retrieval system

    David L. Patton;Philip R. Ashe;Joseph A. Manico

  • Management of physiological and psychological state of an individual using images therapeutic imaging classification system

    Elena A. Fedorovskaya;Laurie Schaefer;Girish V. Prabhu;Cecelia M. Horwitz

  • Method and apparatus for modifying a portion of an image in accordance with colorimetric parameters

    David L. Patton;John R. Fredlund;John D. Buhr

  • Management of physiological and psychological state of an individual using images congnitive analyzer

    Richard N. Blazey;Paige Miller;Elena A. Fedorovskaya;Girish V. Prabhu

  • Method for providing digital cinema content based upon audience metrics

    Dale F. Mcintyre;David Lynn Patton;John R. Fredlund;Michael E. Mccrackan

  • Auto restoration of a print

    David L. Patton;John R. Fredlund;John D. Buhr

  • Digital camera including a printer for receiving a cartridge having security control circuitry

    Dale F. McIntyre;David L. Patton

  • Method and apparatus for making a print having an invisible coordinate system

    John D. Buhr;John R. Fredlund;David L. Patton

  • Printing and decoding 3-D sound data that has been optically recorded onto the film at the time the image is captured

    Cynthia S. Bell;David L. Patton;Stephen J. Rowan

  • System and method for conditioning the psychological state of a subject using an adaptive autostereoscopic display

    David L. Patton;John A. Agostinelli;James G. Stephens;Edward Covannon

  • System for customizing and ordering personalized postage stamps

    David L. Patton;Allen K. Tsaur

  • System and method of managing a psychological state of an individual using images

    David L. Patton;John R. Fredlund;Cecelia M. Horwitz;Jose M. Mir

  • Digital camera including printer for printing on an authenticated receiver

    Dale Frederick Mcintyre;David Lynn Patton

  • Intelligent toy with internet connection capability

    Edward Covannon;David L. Patton;Thomas M. Stephany;Kathryn K. Nass

  • Apparatus and method for marking a contoured surface having complex topology

    David L. Patton;John R. Fredlund

  • Scanning film during the film process for output to a video monitor

    David L. Patton

  • Process for detecting and mapping dirt on the surface of a photographic element

    Robert T. Gray;David L. Patton

  • AUTOMATIZED PHOTOGRAPH FINISHING SYSTEM AND METHOD FOR ADVANCED SERVICE INCLUDING PROCESSING OF IMAGE AND RELATED VOICE DATA

    Bell Cynthia S;Patton David L;Rowan Stephen J;Niskala Wayne F

  • Apparatus and method for marking multiple colors on a contoured surface having a complex topography

    David L. Patton;John R. Fredlund

Frequent Co-Authors

John R. Fredlund
John R. Fredlund Kodak (France)
Joseph A. Manico
Joseph A. Manico Kodak (United States)
Dale F. McIntyre
Dale F. McIntyre Kodak (France)
Elena A. Fedorovskaya
Elena A. Fedorovskaya Rochester Institute of Technology
Ronald Steven Cok
Ronald Steven Cok Independent Scientist / Consultant, US
Edward P. Furlani
Edward P. Furlani University at Buffalo, State University of New York
Kenneth A. Parulski
Kenneth A. Parulski aKAP Innovation, LLC

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