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Anna Scaglione

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 64 1270 1211 527 488 451 19759
Computer Science 64 2559 2479 1281 1232 467 19882

Anna Scaglione publications per year

The chart shows the history of publications by Anna Scaglione between 1996 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Anna Scaglione published across 30 years, from 1996 to 2025, averaging 19.6 papers a year. Output peaked at 41 publications in 2018. 33 of the 588 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1996 to 2025. Vertical axis: number of publications, 0 to 41. Peak 41 publications in 2018. 1996: 3 publications 1997: 10 publications 1998: 9 publications 1999: 16 publications 2000: 9 publications 2001: 6 publications 2002: 8 publications 2003: 9 publications 2004: 11 publications 2005: 13 publications 2006: 25 publications 2007: 15 publications 2008: 21 publications 2009: 15 publications 2010: 39 publications 2011: 23 publications 2012: 34 publications 2013: 25 publications 2014: 26 publications 2015: 18 publications 2016: 35 publications 2017: 33 publications 2018: 41 publications 2019: 22 publications 2020: 24 publications 2021: 18 publications 2022: 20 publications 2023: 27 publications 2024: 16 publications 2025: 17 publications
1996 2025

588 publications in total across all disciplines

View publications per year as a table
Anna Scaglione: publications per year, 1996 to 2025
Year Publications
1996 3
1997 10
1998 9
1999 16
2000 9
2001 6
2002 8
2003 9
2004 11
2005 13
2006 25
2007 15
2008 21
2009 15
2010 39
2011 23
2012 34
2013 25
2014 26
2015 18
2016 35
2017 33
2018 41
2019 22
2020 24
2021 18
2022 20
2023 27
2024 16
2025 17
Total 588
Download as CSV

Anna Scaglione publications per year - data summary

  • Anna Scaglione, a Electronics and Electrical Engineering scholar from Cornell University, has 588 publications recorded across 30 years, from 1996 to 2025.
  • The oldest publication on record dates to 1996 and the most recent to 2025.
  • The most productive year is 2018, with 41 publications.
  • The least productive year with any output is 1996, with 3 publications.
  • The rate of publication averages 19.6 papers per year over the whole span, or 19.6 per year counting only the 30 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 98 publications, 17% of the career total.
  • Split into equal eras - 1996-2005: 94 publications (9.4 per year); 2006-2015: 241 publications (24.1 per year); 2016-2025: 253 publications (25.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Anna Scaglione publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Anna Scaglione sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 434–453 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 451 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147 451
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

Anna Scaglione publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Anna Scaglione, a Electronics and Electrical Engineering scholar from Cornell University, records 451 publications - the 80th percentile of the discipline.
  • 80% of ranked Electronics and Electrical Engineering scientists score the same or lower than Anna Scaglione, and about 20% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Anna Scaglione ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 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 1,065 publications or more, 99 scientists in all (1% of the field).

Anna Scaglione D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Anna Scaglione sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 64 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77 64
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Anna Scaglione D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Anna Scaglione, a Electronics and Electrical Engineering scholar from Cornell University, records 64 D-Index - the 82nd percentile of the discipline.
  • 82% of ranked Electronics and Electrical Engineering scientists score the same or lower than Anna Scaglione, and about 18% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Anna Scaglione ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 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 111 D-Index or more, 96 scientists in all (1% of the field).

Overview

Anna Scaglione is affiliated with Cornell University in the United States. Their research focuses primarily on engineering and computer science, with specializations in electrical and electronic engineering, artificial intelligence, control and systems engineering, computer networks and communications, and information systems.

The scientist's work covers a variety of topics including:

  • Smart Grid Energy Management
  • Smart Grid Security and Resilience
  • Optimal Power Flow Distribution
  • Privacy-Preserving Technologies in Data
  • Microgrid Control and Optimization
  • Internet Traffic Analysis and Secure E-voting
  • Advanced Graph Neural Networks

Among their recent papers are:

  • "Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid," 2021, IEEE Transactions on Signal Processing
  • "Intelligent Resource Management at the Edge for Ubiquitous IoT: An SDN-Based Federated Learning Approach," 2021, IEEE Network
  • "Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms," 2023, IEEE Transactions on Smart Grid
  • "New Insights From the Shapley-Folkman Lemma on Dispatchable Demand in Energy Markets," 2021, IEEE Transactions on Power Systems
  • "Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability," 2022, IEEE Transactions on Power Systems

Frequent coauthors collaborating with Scaglione include:

  • Thomas Parisini
  • João P. Hespanha
  • Jing Sun
  • Sarah K. Spurgeon
  • Sean Peisert

Significant publication venues where their research appears consistently comprise:

  • arXiv (Cornell University)
  • Proceedings of the IEEE
  • IEEE Transactions on Automatic Control
  • IEEE Transactions on Control Systems Technology
  • IEEE Transactions on Signal Processing

Scaglione's extensive research contributions reflect an intersection of advanced graph-based methods, control theory, and energy systems, particularly focusing on the challenges of modern smart grid infrastructure and distributed resources within power networks. The scientist's work also extends to federated learning approaches in IoT and privacy considerations in data systems.

Best Publications

  • For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid

    S Galli;A Scaglione;Zhifang Wang

  • Optimal designs for space-time linear precoders and decoders

    A. Scaglione;P. Stoica;S. Barbarossa;G.B. Giannakis

  • Gossip Algorithms for Distributed Signal Processing

    Alexandros G Dimakis;Soummya Kar;José M F Moura;Michael G Rabbat

  • Redundant filterbank precoders and equalizers. I. Unification and optimal designs

    A. Scaglione;G.B. Giannakis;S. Barbarossa

  • On the interdependence of routing and data compression in multi-hop sensor networks

    Anna Scaglione;Sergio Servetto

  • Broadcast Gossip Algorithms for Consensus

    T.C. Aysal;M.E. Yildiz;A.D. Sarwate;A. Scaglione

  • Product high-order ambiguity function for multicomponent polynomial-phase signal modeling

    S. Barbarossa;A. Scaglione;G.B. Giannakis

  • A scalable synchronization protocol for large scale sensor networks and its applications

    Yao-Win Hong;A. Scaglione

  • Cooperative communications in mobile ad hoc networks

    A. Scaglione;D.L. Goeckel;J.N. Laneman

  • Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method

    Tsung-Hui Chang;Angelia Nedic;Anna Scaglione

  • Opportunistic large arrays: cooperative transmission in wireless multihop ad hoc networks to reach far distances

    A. Scaglione;Yao-Win Hong

  • Binary Opinion Dynamics with Stubborn Agents

    Ercan Yildiz;Asuman Ozdaglar;Daron Acemoglu;Amin Saberi

  • Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks

    Zhifang Wang;Anna Scaglione;Robert J Thomas

  • Filterbank transceivers optimizing information rate in block transmissions over dispersive channels

    A. Scaglione;S. Barbarossa;G.B. Giannakis

  • Redundant filterbank precoders and equalizers. II. Blind channel estimation, synchronization, and direct equalization

    A. Scaglione;G.B. Giannakis;S. Barbarossa

  • Power Line Communications and the Smart Grid

    Stefano Galli;Anna Scaglione;Zhifang Wang

  • Randomized Space-Time Coding for Distributed Cooperative Communication

    B. Sirkeci-Mergen;A. Scaglione

  • Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks

    Mahnoosh Alizadeh;Hoi-To Wai;Mainak Chowdhury;Andrea Goldsmith

  • Asymptotic analysis of multistage cooperative broadcast in wireless networks

    Birsen Sirkeci-Mergen;Anna Scaglione;Gökhan Mergen

  • Electrical centrality measures for electric power grid vulnerability analysis

    Zhifang Wang;Anna Scaglione;Robert J. Thomas

  • Transmit antennae space-time block coding for generalized OFDM in the presence of unknown multipath

    Z. Liu;G.B. Giannakis;S. Barbarossa;A. Scaglione

  • Randomized Space-Time Coding for Distributed Cooperative Communication: Fractional Diversity

    B.S. Mergen;A. Scaglione

Frequent Co-Authors

Sergio Barbarossa
Sergio Barbarossa Sapienza University of Rome
Georgios B. Giannakis
Georgios B. Giannakis University of Minnesota
Amir Leshem
Amir Leshem Bar-Ilan University
Tsung-Hui Chang
Tsung-Hui Chang Chinese University of Hong Kong, Shenzhen
Angelia Nedic
Angelia Nedic Arizona State University
George Kesidis
George Kesidis Pennsylvania State University
Andrea Goldsmith
Andrea Goldsmith Stony Brook University
Asuman Ozdaglar
Asuman Ozdaglar MIT
Petar Popovski
Petar Popovski Aalborg University
Stefano Galli
Stefano Galli Peraton Labs

External Links

Personal website of Anna Scaglione Google Scholar page

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Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, pursuing related online degrees can offer flexibility and convenience. Many institutions offer programs with online colleges starting soon, allowing learners to begin their education without waiting for traditional semester schedules.

Additionally, quick certifications can be valuable for those looking to enhance specific skills or enter the workforce rapidly. Exploring quick certifications that pay well can provide targeted expertise in areas such as circuit design or automation technology, complementing a longer degree pathway.

For individuals who prefer independent or less socially intensive roles, there are rewarding career options available. Guidance on jobs for introverts aligns well with roles in electronics and electrical engineering that emphasize problem-solving and focused work.

Project management skills are also increasingly important in engineering fields. Online options like online accelerated project management degree programs offer engineers a chance to develop leadership abilities and manage technical projects effectively, broadening career prospects.

Best Scientists Citing Anna Scaglione

Ali H. Sayed

Ali H. Sayed

École Polytechnique Fédérale de Lausanne

Publications: 119

Georgios B. Giannakis

Georgios B. Giannakis

University of Minnesota

Publications: 118

Soummya Kar

Soummya Kar

Carnegie Mellon University

Publications: 73

Irwin Gerszberg

Irwin Gerszberg

AT&T (United States)

Publications: 67

Paul Shala Henry

Paul Shala Henry

AT&T (United States)

Publications: 66

Robert Bennett

Robert Bennett

AT&T (United States)

Publications: 64

Farhad Barzegar

Farhad Barzegar

AT&T (United States)

Publications: 60

Igor Djurovic

Igor Djurovic

University of Montenegro

Publications: 49

Michael Rabbat

Michael Rabbat

Facebook (United States)

Publications: 46

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 43

Geert Leus

Geert Leus

Delft University of Technology

Publications: 35

Jose M. F. Moura

Jose M. F. Moura

Carnegie Mellon University

Publications: 34

Marc Moonen

Marc Moonen

KU Leuven

Publications: 33

Naofal Al-Dhahir

Naofal Al-Dhahir

The University of Texas at Dallas

Publications: 33

Sergio Barbarossa

Sergio Barbarossa

Sapienza University of Rome

Publications: 32

Robert W. Heath

Robert W. Heath

University of California, San Diego

Publications: 32

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