World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Ireland
2025

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Computer Science 53 4899 14 102 9237

Jeffrey L. Kodosky publications per year

The chart shows the history of publications by Jeffrey L. Kodosky between 1987 and 2015, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jeffrey L. Kodosky published across 29 years, from 1987 to 2015, averaging 3.8 papers a year. Output peaked at 16 publications in 2002. 2 of the 110 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1987 to 2015. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2002. 1987: 5 publications 1988: 0 publications 1989: 1 publication 1990: 0 publications 1991: 1 publication 1992: 1 publication 1993: 4 publications 1994: 3 publications 1995: 2 publications 1996: 0 publications 1997: 4 publications 1998: 6 publications 1999: 0 publications 2000: 8 publications 2001: 5 publications 2002: 16 publications 2003: 6 publications 2004: 5 publications 2005: 2 publications 2006: 3 publications 2007: 15 publications 2008: 1 publication 2009: 6 publications 2010: 3 publications 2011: 6 publications 2012: 2 publications 2013: 3 publications 2014: 0 publications 2015: 2 publications
1987 2015

110 publications in total across all disciplines

View publications per year as a table
Jeffrey L. Kodosky: publications per year, 1987 to 2015
Year Publications
1987 5
1988 0
1989 1
1990 0
1991 1
1992 1
1993 4
1994 3
1995 2
1996 0
1997 4
1998 6
1999 0
2000 8
2001 5
2002 16
2003 6
2004 5
2005 2
2006 3
2007 15
2008 1
2009 6
2010 3
2011 6
2012 2
2013 3
2014 0
2015 2
Total 110
Download as CSV

Jeffrey L. Kodosky 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 Jeffrey L. Kodosky sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 102–111 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 102 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420 102
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Jeffrey L. Kodosky 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 Jeffrey L. Kodosky sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518 53
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Computer Science in Ireland Leader Award
  • 2023 - Research.com Computer Science in Ireland Leader Award
  • 2022 - Research.com Computer Science in Ireland Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Operating system
  • Software

His main research concerns Data flow diagram, Programming language, Process, Visual programming language and Front panel. His Data flow diagram study combines topics from a wide range of disciplines, such as Real-time computing, Virtual instrument, Icon and Diagram. The concepts of his Diagram study are interwoven with issues in Variable, Computer graphics and Feature.

The Process study which covers Construct that intersects with Program code. His studies examine the connections between Visual programming language and genetics, as well as such issues in User interface, with regards to Application programming interface, Image processing and Digital image processing. Jeffrey L. Kodosky has researched Front panel in several fields, including Hardware compatibility list, Hardware architecture, Hardware register and SIGNAL.

His most cited work include:

  • Graphical system for modelling a process and associated method (550 citations)
  • Method and apparatus for providing attribute nodes in a graphical data flow environment (432 citations)
  • System and method for configuring an instrument to perform measurement functions utilizing conversion of graphical programs into hardware implementations (378 citations)

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

His primary scientific interests are in Diagram, Computer hardware, Programming language, User input and Data flow diagram. His Diagram research includes elements of Theoretical computer science and Computer graphics. His studies in Computer hardware integrate themes in fields like Programmable hardware, Hardware compatibility list, Hardware architecture, Hardware register and Hardware acceleration.

His study in Programming language focuses on Visual programming language, Data type, Process and Dataflow. In his study, Variable is strongly linked to Front panel, which falls under the umbrella field of Data flow diagram. His Real-time computing research incorporates elements of Node and Set.

He most often published in these fields:

  • Diagram (19.05%)
  • Computer hardware (19.05%)
  • Programming language (18.10%)

What were the highlights of his more recent work (between 2009-2015)?

  • User input (17.14%)
  • Computer graphics (12.38%)
  • Diagram (19.05%)

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

The scientist’s investigation covers issues in User input, Computer graphics, Diagram, Programming language and Executable. His Diagram study integrates concerns from other disciplines, such as Animation and Display device. His work on Graphical specification and Data type is typically connected to Structure and Remainder as part of general Programming language study, connecting several disciplines of science.

The various areas that Jeffrey L. Kodosky examines in his Executable study include Computation, Data transmission and SIMD. His Gesture research is multidisciplinary, incorporating perspectives in Data flow diagram and Mobile device. The study of Visual programming language is intertwined with the study of Theoretical computer science in a number of ways.

Between 2009 and 2015, his most popular works were:

  • Semantic Zoom within a Diagram of a System (59 citations)
  • Vectorizing combinations of program operations (40 citations)
  • Type generic graphical programming (35 citations)

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

  • Programming language
  • Operating system
  • Software

Jeffrey L. Kodosky mainly investigates Programming language, User input, Theoretical computer science, Data type and Visual programming language. The various areas that Jeffrey L. Kodosky examines in his Programming language study include Program code and SIMD, Parallel computing. His User input research spans across into fields like Component, System context diagram, Computer vision, Artificial intelligence and Magnification.

Jeffrey L. Kodosky connects Theoretical computer science with Type in his research.

Best Publications

  • Graphical system for modelling a process and associated method

    Jeffrey L. Kodosky;James J. Truchard;John E. MacCrisken

  • Method and apparatus for providing attribute nodes in a graphical data flow environment

    Greg McKaskle;Jeffrey L. Kodosky

  • System and method for configuring an instrument to perform measurement functions utilizing conversion of graphical programs into hardware implementations

    Jeffrey L. Kodosky;Hugo Andrade;Brian K. Odom;Cary P. Butler

  • Configuration diagram which graphically displays program relationship

    Jeffrey L. Kodosky;Darshan Shah;Steven W. Rogers

  • Graphical programming system and method which includes icons for performing iteration/looping, conditional branching and sequencing operations

    Kodosky Jeffrey L;Truchard James J;Maccrisken John E

  • Embedded graphical programming system

    Samson Dekey;Jeffrey L. Kodosky;Steven W. Rogers;Darshan Shah

  • Polymorphic dataflow block diagram system and method for programming a computer

    Jeffrey L. Kodosky;James J. Truchard;John E. MacCrisken

  • Graphical method for programming a virtual instrument

    Jeffrey L. Kodosky;James J. Truchard;John E. MacCrisken

  • Graphical system for executing a process and for programming a computer to execute a process, including graphical variable inputs and variable outputs

    Jeffrey L. Kodosky;James J. Truchard;John E. MacCrisken

  • Method and apparatus for more efficient function synchronization in a data flow program

    Steven W. Rogers;Jeffrey L. Kodosky;Dean A. Luick

  • System and method for programmatically generating a graphical program in response to program information

    Ram Kudukoli;Robert E. Dye;Paul F. Austin;Lothar Wenzel

  • System and method for automatically generating a graphical program to perform an image processing algorithm

    Nicolas Vazquez;Jeffrey L. Kodosky;Ram Kudukoli;Kevin L. Schultz

  • Method and apparatus for providing autoprobe features in a graphical data flow diagram

    Jeffrey L. Kodosky

  • System and method for programmatically modifying a graphical program in response to program information

    Ram Kudukoli;Robert Dye;Paul F. Austin;Lothar Wenzel

  • Graphical programming system and method including three-dimensional nodes with pre-defined input and output capabilities

    Carsten Thomsen;Jeffrey L. Kodosky

  • Graphical association of program icons

    Jeffrey L. Kodosky;Darshan Shah;Steven W. Rogers

  • Method and apparatus for improved local and global variable capabilities in a graphical data flow program

    Jeffrey L. Kodosky;Steven W. Rogers

  • System and method for analyzing a graphical program using debugging graphical programs

    Steven W. Rogers;Jeffrey L. Kodosky

  • System and method for converting graphical programs into hardware implementations which utilize probe insertion

    Jeffrey L. Kodosky;Hugo Andrade;Brian Keith Odom;Cary Paul Butler

  • Creating and executing a graphical program with first model of computation that includes a structure supporting second model of computation

    Gregory O. Morrow;John C. Limroth;Jeffrey L. Kodosky;Steven W. Rogers

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science opens the door to a range of related online degree options and dynamic career pathways. For those seeking flexible, affordable education, programs such as an affordable master degree online can be an excellent next step. Such degrees help you deepen technical skills and improve your career prospects without breaking the bank.

For professionals aiming to lead or innovate within organizations, an phd in leadership online combines flexibility with advanced expertise. If you are just getting started, focusing on the best associates degrees to get can offer practical job skills quickly and affordably.

Educators and administrators interested in online learning options may also consider the cheapest online edd programs for a cost-effective path to advanced credentials. No matter where you are on your educational journey, these flexible online options can help you achieve your goals in computer science and beyond.

Best Scientists Citing Jeffrey L. Kodosky

Recently Published Articles