D. Saraswat

593 citations
22 papers · 427 indexed · h-index 11

Impact in

Papers in

D. Saraswat

22 papers receiving 406 citations

Peers

D. Saraswat
Comparison fields: 5 of 31
  • Astronomy and Astrophysics 289
  • Electrical and Electronic Engineering 377
  • Numerical Analysis 23
  • Statistics, Probability and Uncertainty 26
  • Statistical and Nonlinear Physics 43
Replace Natalie Nakhla with:
Natalie Nakhla Canada
K.J. Kerns United States
A.T. Yang United States
Justin Bracken United States
D. Celo Canada
H. Heeb United States
A. Tofighi Iran
Peter B. Johns United Kingdom
Hans Georg Brachtendorf Germany
W.F. Long United States
D. Saraswat relative to Natalie Nakhla Canada Natalie Nakhla's profile →
Citations per field
00.5×1.5×2.0×
Natalie Nakhla · 1×
Citations per year

Countries citing papers authored by D. Saraswat

Since Specialization
Citations

This map shows the geographic impact of D. Saraswat's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Saraswat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Saraswat more than expected).

Fields of papers citing papers by D. Saraswat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Saraswat. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Saraswat. The network helps show where D. Saraswat may publish in the future.

Co-authors

The 7 scholars most cited alongside D. Saraswat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Saraswat Line = papers co-authored together D. Saraswat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20113
2 200912
3 200925
4 20084
5 20085
6 20074
7 200732
8 20064
9 20051
10 200511
11 200596
12 200511
13 20041
14 20044
15 20049
16 20041
17 2004111
18 200311
19 200312
20 200338

About D. Saraswat

D. Saraswat is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Numerical Analysis and Control and Systems Engineering, having authored 22 papers that have together received 427 indexed citations. Recurring topics across this work include Lightning and Electromagnetic Phenomena (15 papers), Electrostatic Discharge in Electronics (14 papers), Electromagnetic Compatibility and Noise Suppression (14 papers), Low-power high-performance VLSI design (5 papers), Electromagnetic Simulation and Numerical Methods (3 papers), High voltage insulation and dielectric phenomena (3 papers), Model Reduction and Neural Networks (3 papers) and Real-time simulation and control systems (2 papers). The work is most often cited by research in Astronomy and Astrophysics (289 citations), Electrical and Electronic Engineering (377 citations), Numerical Analysis (23 citations), Statistics, Probability and Uncertainty (26 citations) and Statistical and Nonlinear Physics (43 citations). D. Saraswat has collaborated with scholars based in Canada and Slovakia. Frequent co-authors include M. Nakhla, Ramachandra Achar, Ihsan Erdin, Emad Gad, M.C.E. Yagoub, Roni Khazaka and P. Gunupudi. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Advanced Packaging, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Components Packaging and Manufacturing Technology and IEEE Microwave and Wireless Components Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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