World's Best Scientists 2026 revealed!
Eric L. Schwartz

Eric L. Schwartz

D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Computer Science 42 8273 3547 114 9048

Eric L. Schwartz publications per year

The chart shows the history of publications by Eric L. Schwartz between 1973 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Eric L. Schwartz published across 53 years, from 1973 to 2025, averaging 2.8 papers a year. Output peaked at 8 publications in 1976. 11 of the 151 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 1973 to 2025. Vertical axis: number of publications, 0 to 8. Peak 8 publications in 1976. 1973: 2 publications 1974: 0 publications 1975: 1 publication 1976: 8 publications 1977: 5 publications 1978: 1 publication 1979: 0 publications 1980: 2 publications 1981: 4 publications 1982: 1 publication 1983: 2 publications 1984: 2 publications 1985: 2 publications 1986: 2 publications 1987: 0 publications 1988: 4 publications 1989: 5 publications 1990: 6 publications 1991: 5 publications 1992: 7 publications 1993: 7 publications 1994: 8 publications 1995: 3 publications 1996: 4 publications 1997: 8 publications 1998: 3 publications 1999: 4 publications 2000: 0 publications 2001: 1 publication 2002: 3 publications 2003: 3 publications 2004: 4 publications 2005: 6 publications 2006: 3 publications 2007: 1 publication 2008: 2 publications 2009: 3 publications 2010: 1 publication 2011: 3 publications 2012: 2 publications 2013: 0 publications 2014: 1 publication 2015: 1 publication 2016: 0 publications 2017: 0 publications 2018: 2 publications 2019: 0 publications 2020: 0 publications 2021: 0 publications 2022: 6 publications 2023: 2 publications 2024: 5 publications 2025: 6 publications
1973 2025

151 publications in total across all disciplines

View publications per year as a table
Eric L. Schwartz: publications per year, 1973 to 2025
Year Publications
1973 2
1974 0
1975 1
1976 8
1977 5
1978 1
1979 0
1980 2
1981 4
1982 1
1983 2
1984 2
1985 2
1986 2
1987 0
1988 4
1989 5
1990 6
1991 5
1992 7
1993 7
1994 8
1995 3
1996 4
1997 8
1998 3
1999 4
2000 0
2001 1
2002 3
2003 3
2004 4
2005 6
2006 3
2007 1
2008 2
2009 3
2010 1
2011 3
2012 2
2013 0
2014 1
2015 1
2016 0
2017 0
2018 2
2019 0
2020 0
2021 0
2022 6
2023 2
2024 5
2025 6
Total 151
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Eric L. Schwartz publications per year - data summary

  • Eric L. Schwartz, a Computer Science scholar from Boston University, has 151 publications recorded across 53 years, from 1973 to 2025.
  • The oldest publication on record dates to 1973 and the most recent to 2025.
  • The most productive years are 1976, 1994 and 1997, with 8 publications each.
  • The least productive years with any output are 1975, 1978, 1982, 2001 and others, with 1 publication each.
  • 10 of the 53 years in the span carry no publications at all (1974, 1979, 1987, 2000 and others).
  • The rate of publication averages 2.8 papers per year over the whole span, or 3.5 per year counting only the 43 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 19 publications, 13% of the career total.
  • Split into equal eras - 1973-1990: 47 publications (2.6 per year); 1991-2008: 72 publications (4.0 per year); 2009-2025: 32 publications (1.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is declining.

Eric L. Schwartz 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 Eric L. Schwartz 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, 112–121 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: 114 publications — 13th percentile

13% 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
112–121 497 114
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
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Eric L. Schwartz publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Eric L. Schwartz, a Computer Science scholar from Boston University, records 114 publications - the 13th percentile of the discipline.
  • 13% of ranked Computer Science scientists score the same or lower than Eric L. Schwartz, and about 87% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Eric L. Schwartz ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Eric L. Schwartz 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 Eric L. Schwartz 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, 42–43 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: 42 D-Index — 43rd percentile

43% 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 42
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
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
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Eric L. Schwartz D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Eric L. Schwartz, a Computer Science scholar from Boston University, records 42 D-Index - the 43rd percentile of the discipline.
  • 43% of ranked Computer Science scientists score the same or lower than Eric L. Schwartz, and about 57% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Eric L. Schwartz ranks below the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Eric L. Schwartz was affiliated with Boston University in the United States and contributed to the field of Computer Science, particularly focusing on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology, and Computer Graphics and Computer-Aided Design.

Their research spanned various topics, prominently featuring

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Adversarial Robustness in Machine Learning

The scientist published extensively in multiple venues, notably

  • arXiv (Cornell University)
  • Pattern Recognition Letters
  • Computer Vision and Image Understanding
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Mathematics

Among their recent papers were:

  • "Baby steps towards few-shot learning with multiple semantics", 2022, Pattern Recognition Letters
  • "MAEDAY: MAE for few- and zero-shot AnomalY-Detection", 2024, Computer Vision and Image Understanding

Other works connected to their collaboration network included papers presented at notable conferences and journals such as the Proceedings of the AAAI Conference on Artificial Intelligence, with titles like "StarNet: towards Weakly Supervised Few-Shot Object Detection" (2021) and others addressing neural network quantization and domain generalization.

Frequent co-authors in their collaborative research projects included Raja Giryes, Leonid Karlinsky, Rogério Feris, Assaf Arbelle, and Sivan Doveh. These collaborations contributed to a substantial number of joint publications, indicating a consistent research partnership with experts in similar fields and topics.

Eric L. Schwartz's body of work primarily engaged with machine learning techniques applied to computer vision challenges and anomaly detection, blending theoretical and applied approaches in various contexts and domains.

Best Publications

  • The isomap algorithm and topological stability.

    Mukund Balasubramanian;Eric L. Schwartz

  • Spatial mapping in the primate sensory projection: Analytic structure and relevance to perception

    E. L. Schwartz

  • Computational anatomy and functional architecture of striate cortex: A spatial mapping approach to perceptual coding

    Eric L. Schwartz

  • Computational neuroscience

    Eric L. Schwartz

  • Isoperimetric graph partitioning for image segmentation

    L. Grady;E.L. Schwartz

  • Shape recognition and inferior temporal neurons.

    E L Schwartz;R Desimone;T D Albright;C G Gross

  • Accurate prediction of V1 location from cortical folds in a surface coordinate system

    Oliver P. Hinds;Niranjini Rajendran;Jonathan R. Polimeni;Jean C. Augustinack

  • A numerical solution to the generalized mapmaker's problem: flattening nonconvex polyhedral surfaces

    E.L. Schwartz;A. Shaw;E. Wolfson

  • Design considerations for a space-variant visual sensor with complex-logarithmic geometry

    A.S. Rojer;E.L. Schwartz

  • Cepstral Filtering on a Columnar Image Architecture: A Fast Algorithm for Binocular Stereo Segmentation

    Y. Yeshurun;E.L. Schwartz

  • The Neurophysiology of Information Processing and Cognition

    E R John;E L Schwartz

  • Space Variant Image Processing

    Richard S. Wallace;Ping-Wen Ong;Benjamin B. Bederson;Eric L. Schwartz

  • Improving sterological estimates for the volume of structures identified in three-dimensional arrays of spatial data

    Patrick E. Barta;Lara Dhingra;Richard Royall;Eric Schwartz

  • Space-variant active vision: definition, overview and examples

    Eric L. Schwartz;Douglas N. Greve;Giorgio Bonmassar

  • Cat and monkey cortical columnar patterns modeled by bandpass-filtered 2D white noise

    A. S. Rojer;E. L. Schwartz

  • Locating the functional and anatomical boundaries of human primary visual cortex.

    Oliver Hinds;Jonathan R. Polimeni;Niranjini Rajendran;Mukund Balasubramanian

  • Computing with the leaky integrate-and-fire neuron: logarithmic computation and multiplication

    Doron Tal;Eric L. Schwartz

  • Inferior Temporal Cortex and Pattern Recognition

    C. G. Gross;R. Desimone;T. D. Albright;E. L. Schwartz

  • A quantitative model of the functional architecture of human striate cortex with application to visual illusion and cortical texture analysis

    Eric L. Schwartz

  • Multi-area visuotopic map complexes in macaque striate and extra-striate cortex

    Jonathan R. Polimeni;Mukund Balasubramanian;Eric L. Schwartz

  • Adaptive nonlocal filtering: a fast alternative to anisotropic diffusion for image enhancement

    B. Fischl;E.L. Schwartz

Frequent Co-Authors

Bruce Fischl
Bruce Fischl Harvard University
Benjamin B. Bederson
Benjamin B. Bederson University of Maryland, College Park
Giorgio Bonmassar
Giorgio Bonmassar Massachusetts General Hospital
Lawrence L. Wald
Lawrence L. Wald Harvard University
H. Diana Rosas
H. Diana Rosas Massachusetts General Hospital
Jean C. Augustinack
Jean C. Augustinack Harvard University
Thomas D. Albright
Thomas D. Albright Salk Institute for Biological Studies
Charles G. Gross
Charles G. Gross Princeton University

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