Om Prakash

1.4k citations
81 papers · 960 indexed · 1 hit paper · h-index 12
Topics
Coding theory and cryptography (55 papers)graph theory and CDMA systems (28 papers)Quantum-Dot Cellular Automata (24 papers)
Journals
ScienceSHILAP Revista de lepidopterologíaThe Journal of Organic Chemistry
Partner nations
IndiaFranceUnited States

In The Last Decade

Om Prakash

75 papers receiving 915 citations

Hit Papers

The Origin of Man: A Chromosomal Pictorial Legacy19822026199620111982100200300400

Peers

Om Prakash
Comparison fields: 5 of 93
  • Artificial Intelligence 378
  • Molecular Biology 359
  • Genetics 304
  • Plant Science 298
  • Computational Theory and Mathematics 283
Replace Homin K. Lee with:
Homin K. Lee United States
Johannes Lengler Switzerland
Amir H. Assadi United States
Lloyd Allison Australia
M Waterman United States
Margus Lukk United Kingdom
Lee A. Newberg United States
Arun Ramani Canada
Gregorio Alanis‐Lobato Germany
Rob Jelier Netherlands
Om Prakash relative to Homin K. Lee United States Homin K. Lee's profile →
Citations per field
00.5×10×
Homin K. Lee · 1×
Citations per year

Countries citing papers authored by Om Prakash

Since Specialization
Citations

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

Fields of papers citing papers by Om Prakash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Om Prakash

This figure shows the co-authorship network connecting the top 25 collaborators of Om Prakash. A scholar is included among the top collaborators of Om Prakash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Om Prakash. Om Prakash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4
A Novel Centralized Blockchain and Cryptocurrency for E-Governance
1
5 0
6 3
7 4
8 1
9 3
10 4
11 2
12 16
13 28
14 12
15 15
16 1
17 9
18 6
19 5
20
Selection of scheduling Algorithm
1

About Om Prakash

Om Prakash is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Artificial Intelligence, having authored 81 papers that have together received 960 indexed citations. Recurring topics across this work include Coding theory and cryptography (55 papers), graph theory and CDMA systems (28 papers) and Quantum-Dot Cellular Automata (24 papers). The work is most often cited by research in Computational Theory and Mathematics (283 citations), Discrete Mathematics and Combinatorics (52 citations) and Artificial Intelligence (378 citations). Om Prakash has collaborated with scholars based in India, France and United States. Frequent co-authors include Jorge J. Yunis, Habibul Islam, Patrick Solé, Edgar Martı́nez-Moro, Ram Krishna Pandey, Adel Alahmadi, Ahmad N. Al‐Kenani, Vishwajeet Kumar, Rajesh K. Saini and Wade A. Freeman. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and The Journal of Organic Chemistry.

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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