Omar Rojas

1.0k citations
72 papers · 647 · h-index 13

Impact in

Papers in

    • Coding theory and cryptography 14
    • Cryptographic Implementations and Security 14
    • Market Dynamics and Volatility 9
    • Energy, Environment, Economic Growth 5
    • Complex Systems and Time Series Analysis 5

Omar Rojas

66 papers receiving 625 citations

Peers

Omar Rojas
Comparison fields: 5 of 118
  • Economics and Econometrics 176
  • Management Science and Operations Research 60
  • Artificial Intelligence 154
  • Renewable Energy, Sustainability and the Environment 63
  • Computer Vision and Pattern Recognition 77
Replace Jie Cao with:
Jie Cao China
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Dong Guo United States
Marijana Zekić–Sušac Croatia
Muhammad Usman Tariq United Arab Emirates
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Citations per field
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Citations per year

Countries citing papers authored by Omar Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Omar Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018120
2 202278
3 202233
4 201825
5 202024
6 202123
7 202422
8 202020
9 201914
10 202014
11 202013
12 202112
13 202012
14 201712
15 202111
16 202010
17 200710
18 201810
19 201510
20 20229

About Omar Rojas

Omar Rojas is a scholar working on Artificial Intelligence, Economics and Econometrics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 72 papers that have together received 647 indexed citations. Recurring topics across this work include Coding theory and cryptography (14 papers), Cryptographic Implementations and Security (14 papers), Chaos-based Image/Signal Encryption (13 papers), Market Dynamics and Volatility (9 papers), Energy, Environment, Economic Growth (5 papers), Complex Systems and Time Series Analysis (5 papers), Biometric Identification and Security (4 papers) and graph theory and CDMA systems (4 papers). The work is most often cited by research in Economics and Econometrics (176 citations), Management Science and Operations Research (60 citations), Artificial Intelligence (154 citations), Renewable Energy, Sustainability and the Environment (63 citations) and Computer Vision and Pattern Recognition (77 citations). Omar Rojas has collaborated with scholars based in Mexico, Cuba and Guatemala. Frequent co-authors include Douglas C. Montgomery, Miguel Angel Esquivias, Lilik Sugiharti, Narayan Sethi, Elìas Olivares-Benítez, Raúl Monroy, Md. Mamunur Rashid, Thomas M. Fullerton, Liton Chandra Voumik and Kenneth Walsh. Their work appears in journals such as Applied Sciences, International Journal of Energy Economics and Policy, Sustainability, IEEE Access and International Journal of Management in Education.

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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