Vigyan Singhal

1.6k citations
37 papers · 1.3k · h-index 16

Impact in

Papers in

Vigyan Singhal

35 papers receiving 1.2k citations

Peers

Vigyan Singhal
Comparison fields: 5 of 47
  • Software 448
  • Computational Theory and Mathematics 940
  • Hardware and Architecture 387
  • Artificial Intelligence 370
  • Computer Networks and Communications 144
Replace Mandayam Srivas with:
Mandayam Srivas United States
Karl S. Brace United States
Wendelin Serwe France
Gerald Lüttgen Germany
Frédéric Lang France
J. P. Queille France
Roni Rosner Israel
Judi Romijn Netherlands
Conrado Daws France
Aaron R. Bradley United States
Vigyan Singhal relative to Mandayam Srivas United States Mandayam Srivas's profile →
Citations per field
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Mandayam Srivas · 1×
Citations per year

Countries citing papers authored by Vigyan Singhal

Since Specialization
Citations

This map shows the geographic impact of Vigyan Singhal'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 Vigyan Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vigyan Singhal more than expected).

Fields of papers citing papers by Vigyan Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vigyan Singhal. 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 Vigyan Singhal. The network helps show where Vigyan Singhal may publish in the future.

Co-authors

The 25 scholars most cited alongside Vigyan Singhal, 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 Vigyan Singhal Line = papers co-authored together Vigyan Singhal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000312
2 1996260
3 1995170
4 199852
5 200045
6 199844
7 199532
8 199428
9 199425
10 199624
11 199424
12 199821
13 199820
14 199918
15 200116
16 199416
17 199515
18 199515
19
Design replacements for sequential circuits
199614
20 200313

About Vigyan Singhal

Vigyan Singhal is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Electrical and Electronic Engineering, Software and Artificial Intelligence, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Formal Methods in Verification (30 papers), VLSI and Analog Circuit Testing (15 papers), Embedded Systems Design Techniques (15 papers), Low-power high-performance VLSI design (9 papers), Radiation Effects in Electronics (7 papers), Software Testing and Debugging Techniques (6 papers), Logic, programming, and type systems (5 papers) and Petri Nets in System Modeling (3 papers). The work is most often cited by research in Software (448 citations), Computational Theory and Mathematics (940 citations), Hardware and Architecture (387 citations), Artificial Intelligence (370 citations) and Computer Networks and Communications (144 citations). Vigyan Singhal has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Adnan Aziz, Robert K. Brayton, Alberto Sangiovanni‐Vincentelli, Felice Balarin, Jerry R. Burch, Carl Pixley, Maciej Ciesielski, Congguang Yang, Hai Zhou and Anuj Kumar Goel. Their work appears in journals such as Formal Methods in System Design, ACM Transactions on Design Automation of Electronic Systems, Lecture notes in computer science, The VLDB Journal and ACM Transactions on Computational Logic.

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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