World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Rising Stars 42 560 560 2 2 223 7198
Computer Science 43 7989 7762 129 123 289 7744

Nir Shlezinger publications per year

The chart shows the history of publications by Nir Shlezinger between 2014 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nir Shlezinger published across 13 years, from 2014 to 2026, averaging 27.4 papers a year. Output peaked at 62 publications in 2022. 58 of the 356 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2014 to 2026. Vertical axis: number of publications, 0 to 62. Peak 62 publications in 2022. 2014: 4 publications 2015: 3 publications 2016: 4 publications 2017: 9 publications 2018: 7 publications 2019: 25 publications 2020: 33 publications 2021: 55 publications 2022: 62 publications 2023: 49 publications 2024: 47 publications 2025: 53 publications 2026: 5 publications
2014 2026

356 publications in total across all disciplines

View publications per year as a table
Nir Shlezinger: publications per year, 2014 to 2026
Year Publications
2014 4
2015 3
2016 4
2017 9
2018 7
2019 25
2020 33
2021 55
2022 62
2023 49
2024 47
2025 53
2026 5
Total 356
Download as CSV

Nir Shlezinger 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 Nir Shlezinger 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, 282–291 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: 289 publications — 72nd percentile

72% 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
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
282–291 320 289
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

Nir Shlezinger 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 Nir Shlezinger 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: 43 D-Index — 46th percentile

46% 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 43
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
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Nir Shlezinger is affiliated with Ben-Gurion University of the Negev in Israel. Their research spans multiple domains within engineering and computer science, with a significant focus on electrical and electronic engineering, artificial intelligence, aerospace engineering, signal processing, and computer networks and communications.

Their scholarly work frequently appears in notable publication venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The topics addressed in their research cover a broad spectrum of advanced technologies, such as:

  • Antenna Design and Analysis
  • Advanced Wireless Communication Technologies
  • Target Tracking and Data Fusion in Sensor Networks
  • Energy Harvesting in Wireless Networks
  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Indoor and Outdoor Localization Technologies

Some of their recent papers emphasize developments in signal processing, wireless communications, and neural network applications. Key publications include:

  • Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar, 2020, IEEE Transactions on Signal Processing
  • KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics, 2022, IEEE Transactions on Signal Processing
  • Beam Focusing for Near-Field Multiuser MIMO Communications, 2022, IEEE Transactions on Wireless Communications
  • Communication-efficient federated learning, 2021, Proceedings of the National Academy of Sciences
  • Model-Based Deep Learning, 2023, Proceedings of the IEEE

Their collaborations include frequent co-authorship with various researchers, among whom are:

  • Yonina C. Eldar
  • Guy Revach
  • Ruud J. G. van Sloun
  • George C. Alexandropoulos
  • Mohammadreza F. Imani

Shlezinger's body of work combines theoretical advances with applications in wireless communication systems and signal processing, leveraging machine learning approaches and optimization techniques to address challenges in multiuser MIMO systems, federated learning, and adaptive filtering under uncertain dynamics.

Best Publications

  • KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.

    Guy Revach;Nir Shlezinger;Xiaoyong Ni;Adria Lopez Escoriza

  • Beam Focusing for Near-Field Multi-User MIMO Communications

    Haiyang Zhang;Nir Shlezinger;Francesco Guidi;Davide Dardari

  • Communication-efficient federated learning.

    Mingzhe Chen;Mingzhe Chen;Nir Shlezinger;H. Vincent Poor;Yonina C. Eldar

  • Model-Based Deep Learning.

    Nir Shlezinger;Jay Whang;Yonina C. Eldar;Alexandros G. Dimakis

  • 6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing

    Unknown

  • Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications

    Nir Shlezinger;George C. Alexandropoulos;Mohammadreza F. Imani;Yonina C. Eldar

  • MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation

    Tianyao Huang;Nir Shlezinger;Xingyu Xu;Yimin Liu

  • UVeQFed: Universal Vector Quantization for Federated Learning

    Nir Shlezinger;Mingzhe Chen;Yonina C. Eldar;H. Vincent Poor

  • Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization

    Unknown

  • Over-the-Air Federated Learning From Heterogeneous Data

    Tomer Sery;Nir Shlezinger;Kobi Cohen;Yonina Eldar

  • Federated Learning: A Signal Processing Perspective.

    Tomer Gafni;Nir Shlezinger;Kobi Cohen;Yonina C. Eldar

  • Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities

    George C. Alexandropoulos;Nir Shlezinger;Philipp del Hougne

  • Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing

    Unknown

  • ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection

    Nir Shlezinger;Nariman Farsad;Yonina C. Eldar;Andrea J. Goldsmith

  • A reconfigurable intelligent surface with integrated sensing capability.

    Idban Alamzadeh;George C. Alexandropoulos;Nir Shlezinger;Mohammadreza F. Imani

  • PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading

    Unknown

  • Dynamic Metasurface Antennas for Uplink Massive MIMO Systems

    Nir Shlezinger;Or Dicker;Yonina C. Eldar;Insang Yoo

  • Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications.

    George C. Alexandropoulos;Nir Shlezinger;Idban Alamzadeh;Mohammadreza F. Imani

  • Federated Learning with Quantization Constraints

    Nir Shlezinger;Mingzhe Chen;Yonina C. Eldar;H. Vincent Poor

  • Near-field Wireless Power Transfer for 6G Internet-of-Everything Mobile Networks: Opportunities and Challenges

    Haiyang Zhang;Nir Shlezinger;Francesco Guidi;Davide Dardari

  • DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection

    Nir Shlezinger;Rong Fu;Yonina C. Eldar

  • Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype

    Dingyou Ma;Nir Shlezinger;Tianyao Huang;Yariv Shavit

  • A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint

    Mingjin Wang;Feifei Gao;Nir Shlezinger;Mark F. Flanagan

  • Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs

    Hanqing Wang;Nir Shlezinger;Yonina C. Eldar;Shi Jin

  • FRaC: FMCW-Based Joint Radar-Communications System via Index Modulation

    Dingyou Ma;Nir Shlezinger;Tianyao Huang;Yimin Liu

  • Hardware-Limited Task-Based Quantization

    Nir Shlezinger;Yonina C. Eldar;Miguel R. D. Rodrigues

Frequent Co-Authors

Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Mohammadreza F. Imani
Mohammadreza F. Imani Arizona State University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
David R. Smith
David R. Smith Duke University
George C. Alexandropoulos
George C. Alexandropoulos National and Kapodistrian University of Athens
H. Vincent Poor
H. Vincent Poor Princeton University
Mingzhe Chen
Mingzhe Chen University of Miami
Davide Dardari
Davide Dardari University of Bologna
Shuguang Cui
Shuguang Cui Chinese University of Hong Kong, Shenzhen

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

Pursuing a Computer Science degree in the USA can open doors to a wide variety of related online programs and career paths. Many students and professionals look to online education as a flexible, affordable way to advance their qualifications or change careers.

If you are interested in leadership or business technology, consider exploring some of the best online emba programs. These programs are designed for professionals aiming to take on executive roles with a technology edge.

Alternatively, if your interests extend to information management and digital archiving, the most affordable online mlis programs offer specialized pathways into library and information science careers.

Budget-conscious learners may want to check the cheapest online masters degree options. These can provide advanced credentials in a range of fields without a heavy financial burden.

Finally, for those aiming for academia or organizational leadership roles, an online phd in organizational leadership can provide the expertise needed for executive and educational positions.

Best Scientists Citing Nir Shlezinger

Trending Scientists

Recently Published Articles