Enes Pašalić

2.8k citations
109 papers · 1.2k · h-index 19

Impact in

Papers in

Enes Pašalić

99 papers receiving 1.1k citations

Peers

Enes Pašalić
Comparison fields: 5 of 66
  • Artificial Intelligence 973
  • Hardware and Architecture 94
  • Discrete Mathematics and Combinatorics 44
  • Computational Theory and Mathematics 196
  • Software 42
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T.R.N. Rao United States
Yuliang Zheng Australia
Gregor Leander Germany
Kaisa Nyberg Finland
Beate Bollig Germany
Hans Dobbertin Germany
Sandeep Sen India
Sihem Mesnager France
John Franco United States
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Citations per year

Countries citing papers authored by Enes Pašalić

Since Specialization
Citations

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

Fields of papers citing papers by Enes Pašalić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015122
2 200573
3 200255
4 200948
5 200741
6 201437
7 200635
8 201432
9 200332
10 201331
11 199929
12 201426
13 200825
14 201523
15 200822
16 202021
17 200419
18 200219
19 200618
20 200917

About Enes Pašalić

Enes Pašalić is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coding theory and cryptography (86 papers), graph theory and CDMA systems (63 papers), Cryptographic Implementations and Security (43 papers), Cancer Mechanisms and Therapy (15 papers), Chaos-based Image/Signal Encryption (12 papers), Logic, programming, and type systems (7 papers), Formal Methods in Verification (7 papers) and Finite Group Theory Research (6 papers). The work is most often cited by research in Artificial Intelligence (973 citations), Hardware and Architecture (94 citations), Discrete Mathematics and Combinatorics (44 citations), Computational Theory and Mathematics (196 citations) and Software (42 citations). Enes Pašalić has collaborated with scholars based in Slovenia, China and United States. Frequent co-authors include Weiguo Zhang, Yongzhuang Wei, Subhamoy Maitra, Fengrong Zhang, Pascale Charpin, Tim Sheard, Walid Taha, Thomas Johansson, Molham Aref and Benny Kimelfeld. Their work appears in journals such as IEEE Transactions on Information Theory, Designs Codes and Cryptography, Cryptography and Communications, Discrete Applied Mathematics and IET Information Security.

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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