Delaram Kahrobaei
- Health Informatics top 10%
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- Finite Group Theory Research 9
- Artificial Intelligence top 10%
- Cryptography and Data Security 15
- Coding theory and cryptography 13
- Geometry and Topology top 10%
- Geometric and Algebraic Topology 16
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- Chaos-based Image/Signal Encryption 6
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- graph theory and CDMA systems 5
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- Computability, Logic, AI Algorithms 5
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- DNA and Biological Computing 4
- Co-authors
- Kayvan NajarianVladimir ShpilrainBilal KhanMichael AnshelGiovanni Di CrescenzoS. M. Reza SoroushmehrBrahmajee K. NallamothuEnrique Domínguez
- Journals
- SHILAP Revista de lepidopterología (2 papers)ACM Computing Surveys (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Delaram Kahrobaei
34 papers receiving 248 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 18
- Discrete Mathematics and Combinatorics 26
- Artificial Intelligence 168
- Geometry and Topology 40
- Health Information Management 10
Countries citing papers authored by Delaram Kahrobaei
This map shows the geographic impact of Delaram Kahrobaei'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 Delaram Kahrobaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delaram Kahrobaei more than expected).
Fields of papers citing papers by Delaram Kahrobaei
This network shows the impact of papers produced by Delaram Kahrobaei. 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 Delaram Kahrobaei. The network helps show where Delaram Kahrobaei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Delaram Kahrobaei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 0 | |
| 7 | Expanders and right-angled Artin groups | 2021 | 0 |
| 8 | 2020 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 0 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 4 | |
| 13 | 2018 | 0 | |
| 14 | 2018 | 6 | |
| 15 | 2017 | 0 | |
| 16 | 2016 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2015 | 1 | |
| 19 | A polynomial time algorithm for the conjugacy problem in Zn o Z | 2014 | 1 |
| 20 | 2012 | 3 |
About Delaram Kahrobaei
Delaram Kahrobaei is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology and Artificial Intelligence, having authored 42 papers that have together received 266 indexed citations. Recurring topics across this work include Geometric and Algebraic Topology (16 papers), Cryptography and Data Security (15 papers), Coding theory and cryptography (13 papers), Finite Group Theory Research (9 papers), Chaos-based Image/Signal Encryption (6 papers), graph theory and CDMA systems (5 papers), Computability, Logic, AI Algorithms (5 papers) and DNA and Biological Computing (4 papers). The work is most often cited by research in Health Informatics (18 citations), Discrete Mathematics and Combinatorics (26 citations) and Artificial Intelligence (168 citations). Delaram Kahrobaei has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Kayvan Najarian, Vladimir Shpilrain, Bilal Khan, Michael Anshel, Giovanni Di Crescenzo, S. M. Reza Soroushmehr, Brahmajee K. Nallamothu, Enrique Domínguez, Siamak F. Shahandashti and Joe Repka. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Computers in Biology and Medicine.
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.