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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 36 9009 8641 3221 2992 69 16240

Victor Koren publications per year

The chart shows the history of publications by Victor Koren between 1996 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Victor Koren published across 29 years, from 1996 to 2024, averaging 2.4 papers a year. Output peaked at 10 publications in 2004. 1 of the 70 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1996 to 2024. Vertical axis: number of publications, 0 to 10. Peak 10 publications in 2004. 1996: 5 publications 1997: 1 publication 1998: 0 publications 1999: 5 publications 2000: 3 publications 2001: 2 publications 2002: 2 publications 2003: 7 publications 2004: 10 publications 2005: 1 publication 2006: 4 publications 2007: 0 publications 2008: 3 publications 2009: 4 publications 2010: 0 publications 2011: 5 publications 2012: 8 publications 2013: 6 publications 2014: 2 publications 2015: 0 publications 2016: 1 publication 2017: 0 publications 2018: 0 publications 2019: 0 publications 2020: 0 publications 2021: 0 publications 2022: 0 publications 2023: 0 publications 2024: 1 publication
1996 2024

70 publications in total across all disciplines

View publications per year as a table
Victor Koren: publications per year, 1996 to 2024
Year Publications
1996 5
1997 1
1998 0
1999 5
2000 3
2001 2
2002 2
2003 7
2004 10
2005 1
2006 4
2007 0
2008 3
2009 4
2010 0
2011 5
2012 8
2013 6
2014 2
2015 0
2016 1
2017 0
2018 0
2019 0
2020 0
2021 0
2022 0
2023 0
2024 1
Total 70
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Victor Koren publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Victor Koren sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 61–70 publications, is where this scientist sits. 41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 282 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 69 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133 69
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
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Victor Koren D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Victor Koren sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 36 D-Index, is where this scientist sits. 30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 198 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 20 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125 D-Index: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206 36
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
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Overview

Victor Koren is affiliated with Silver Spring Networks in the United States and has contributed to the field of environmental and agricultural sciences through research focused on landscape diversity and ecological studies.

The scientist's research has spanned multiple interconnected fields and subfields, including:

  • Agricultural and Biological Sciences
  • Earth and Planetary Sciences

  • Soil Science
  • Oceanography
  • Food Science

Within these areas, the main topics addressed in their work cover:

  • Soil and Environmental Studies
  • Marine and Environmental Studies
  • Food Industry and Aquatic Biology

Victor Koren's recorded publication includes a 2024 research article titled "Hexagonal geospatial model of landscape diversity in the northern sub-area of the Volga River Delta landscape, Russia", which appeared in the journal South of Russia ecology development. This paper is part of their ongoing contribution to environmental modeling and landscape ecology.

The scientist has collaborated with various co-authors throughout their career. Frequent collaborators include:

  • Victor Zanozin
  • Alexander N. Barmin
  • Viktor V. Zanozin
  • Stanislav A. Yamashkin
  • E. V. Zanozina

Victor Koren's presence in the research community is marked by publications in venues specializing in ecology and environmental sciences, with noted contributions to the South of Russia ecology development journal.

Best Publications

  • Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model

    M. B. Ek;K. E. Mitchell;Y. Lin;E. Rogers

  • The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system

    Kenneth E. Mitchell;Dag Lohmann;Paul R. Houser;Eric F. Wood

  • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products

    Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield

  • Modeling of land surface evaporation by four schemes and comparison with FIFE observations

    Fei Chen;Kenneth Mitchell;John Schaake;Yongkang Xue

  • A parameterization of snowpack and frozen ground intended for NCEP weather and climate models

    V. Koren;J. Schaake;K. Mitchell;Q.-Y. Duan

  • Overall distributed model intercomparison project results

    Seann Reed;Victor Koren;Michael Smith;Ziya Zhang

  • Simple water balance model for estimating runoff at different spatial and temporal scales

    John C. Schaake;Victor I. Koren;Qing-Yun Duan;Kenneth Mitchell

  • The distributed model intercomparison project (DMIP): Motivation and experiment design

    Michael B. Smith;Dong Jun Seo;Victor I. Koren;Seann M. Reed

  • Evaluation of forest snow processes models (SnowMIP2)

    Nick Rutter;Richard Essery;John Pomeroy;Nuria Altimir

  • Hydrology laboratory research modeling system (HL-RMS) of the US national weather service

    Victor Koren;Seann Reed;Michael Smith;Ziya Zhang

  • Toward improved streamflow forecasts: value of semidistributed modeling

    Douglas P. Boyle;Hoshin V. Gupta;Soroosh Sorooshian;Victor Koren

  • Validation of the energy budget of an alpine snowpack simulated by several snow models (SnowMIP project)

    Pierre Etchevers;Eric Martin;Ross Brown;Charles Fierz

  • Runoff response to spatial variability in precipitation: an analysis of observed data

    Michael B. Smith;Victor I. Koren;Ziya Zhang;Seann M. Reed

  • Simulations of a boreal grassland hydrology at Valdai, Russia: PILPS phase 2(d).

    C. Adam Schlosser;Andrew G. Slater;Alan Robock;Andrew J. Pitman

  • Scale dependencies of hydrologic models to spatial variability of precipitation

    V.I Koren;B.D Finnerty;J.C Schaake;M.B Smith

  • Space-time scale sensitivity of the Sacramento model to radar-gage precipitation inputs

    Bryce D. Finnerty;Michael B. Smith;Dong Jun Seo;Victor Koren

  • Real-Time Variational Assimilation of Hydrologic and Hydrometeorological Data into Operational Hydrologic Forecasting

    Dong Jun Seo;Victor Koren;Neftali Cajina

  • Using SSURGO data to improve Sacramento Model a priori parameter estimates

    Richard M. Anderson;Victor I. Koren;Seann M. Reed

  • A high resolution coupled hydrologic-hydraulic model (HiResFlood-UCI) for flash flood modeling

    Phu Nguyen;Phu Nguyen;Andrea Thorstensen;Soroosh Sorooshian;Kuolin Hsu

  • Assimilation of streamflow and in situ soil moisture data into operational distributed hydrologic models: Effects of uncertainties in the data and initial model soil moisture states

    Hak Su Lee;Hak Su Lee;Dong-jun Seo;Dong-jun Seo;Victor Koren

  • Implementation of Noah land-surface model advances in the NCEP operational mesoscale Eta model

    M. Ek;K. Mitchell;Y. Lin;E. Rogers

Frequent Co-Authors

Dong Jun Seo
Dong Jun Seo The University of Texas at Arlington
Qingyun Duan
Qingyun Duan Hohai University
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Michael Ek
Michael Ek National Center for Atmospheric Research
Lifeng Luo
Lifeng Luo Michigan State University
Dennis P. Lettenmaier
Dennis P. Lettenmaier University of California, Los Angeles
Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine
Eric F. Wood
Eric F. Wood Princeton University
Justin Sheffield
Justin Sheffield University of Southampton
Alan Robock
Alan Robock Rutgers, The State University of New Jersey

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