Desh Ranjan

498 citations
51 papers · 353 · h-index 12

Impact in

Papers in

Desh Ranjan

47 papers receiving 345 citations

Peers

Desh Ranjan
Comparison fields: 5 of 57
  • Structural Biology 108
  • Hardware and Architecture 41
  • Surfaces, Coatings and Films 34
  • Computational Theory and Mathematics 73
  • Artificial Intelligence 106
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Citations per field
00.5×5×10×15×21.6×
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Citations per year

Countries citing papers authored by Desh Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Desh Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201446
2 201432
3 201129
4 201219
5 199919
6 201618
7 201414
8 201513
9 201012
10 200012
11 201212
12 201111
13 201110
14 201410
15 20159
16 20139
17 20117
18
Digital Halftoning Algorithms Based on Optimization Criteria and Their Experimental Evaluation (Special Section on Discrete Mathematics and Its Applications)
19966
19 20146
20 20135

About Desh Ranjan

Desh Ranjan is a scholar working on Molecular Biology, Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture and Structural Biology, having authored 51 papers that have together received 353 indexed citations. Recurring topics across this work include Algorithms and Data Compression (11 papers), Parallel Computing and Optimization Techniques (11 papers), Advanced Data Storage Technologies (10 papers), Advanced Electron Microscopy Techniques and Applications (9 papers), RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (9 papers), Enzyme Structure and Function (7 papers) and Particle Accelerators and Free-Electron Lasers (4 papers). The work is most often cited by research in Structural Biology (108 citations), Hardware and Architecture (41 citations), Surfaces, Coatings and Films (34 citations), Computational Theory and Mathematics (73 citations) and Artificial Intelligence (106 citations). Desh Ranjan has collaborated with scholars based in United States and Ghana. Frequent co-authors include Mohammad Zubair, Jing He, Kamal Al Nasr, Abhishek Biswas, Enrico Pontelli, Gopal Gupta, Lin Chen, John E. Savage, Balša Terzić and Dong Si. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Bioinformatics and Computational Biology, Bioinformatics, Algorithmica and Lecture notes in computer science.

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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