Deepak Goyal

571 citations
16 papers · 335 indexed · h-index 8

Impact in

Papers in

Deepak Goyal

13 papers receiving 297 citations

Peers

Deepak Goyal
Comparison fields: 5 of 38
  • Computer Networks and Communications 244
  • Software 29
  • Hardware and Architecture 38
  • Signal Processing 46
  • Computational Theory and Mathematics 53
Replace Hongkun Yang with:
Hongkun Yang China
Daniel S. Dantas United States
Amit Manjhi United States
Feng Liang China
C. Chase United States
Giuseppe Lettieri Italy
Dave Patterson United States
Fatiha Zaïdi France
JongHyup Lee South Korea
Andrea Höller Austria
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Citations per field
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Citations per year

Countries citing papers authored by Deepak Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Deepak Goyal, 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 Deepak Goyal Line = papers co-authored together Deepak Goyal links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20210
2 202122
3 201714
4 20152
5
Comparative Analysis Of Various Google Algorithms And Their Effects On Performance Of A Web Portal
20132
6
Swarm Intelligence Based Optimization in WSN: A Review
20131
7
An Agent Based Approach to Avoid Selfish Node Dynamically in Mobile Networks
20121
8 2012144
9 200920
10 200513
11 200460
12
Shallow Finite State Verification
20030
13 20021
14 200242
15
An Algorithm for Streaming XPath Processing with Forward and Backward Axes
20029
16
A language-theoretic approach to algorithms
20004

About Deepak Goyal

Deepak Goyal is a scholar working on Software, Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics and Computer Science Applications, having authored 16 papers that have together received 335 indexed citations. Recurring topics across this work include Formal Methods in Verification (5 papers), Mobile Ad Hoc Networks (4 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Advanced Database Systems and Queries (2 papers), Logic, programming, and type systems (2 papers), Advanced Data Storage Technologies (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Vehicular Ad Hoc Networks (VANETs) (2 papers). The work is most often cited by research in Computer Networks and Communications (244 citations), Software (29 citations), Hardware and Architecture (38 citations), Signal Processing (46 citations) and Computational Theory and Mathematics (53 citations). Deepak Goyal has collaborated with scholars based in India, United States and Israel. Frequent co-authors include Malay Ranjan Tripathy, Marcus Fontoura, Philippe Charles, Mukund Raghavachari, Vanja Josifovski, John K. Field, Mooly Sagiv, G. Ramalingam, Sandeep Kumar and Ramesh Chandra Poonia. Their work appears in journals such as ACM SIGPLAN Notices, Value in Health Regional Issues, LISP and Symbolic Computation and Materials Today Proceedings.

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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