A.F. Tenca

1.2k citations
37 papers · 517 · h-index 12

Impact in

Papers in

A.F. Tenca

36 papers receiving 483 citations

Peers

A.F. Tenca
Comparison fields: 5 of 24
  • Information Systems 341
  • Artificial Intelligence 343
  • Hardware and Architecture 46
  • Computational Theory and Mathematics 107
  • Signal Processing 48
Replace Ahmad Hiasat with:
Ahmad Hiasat Jordan
M.O. Ahmad Canada
Braden J. Phillips Australia
Andreas Curiger Switzerland
S.J. Piestrak Poland
Azadeh Alsadat Emrani Zarandi Iran
R. Katti United States
Ahmet Can Mert Türkiye
Debapriya Basu Roy India
A.F. Tenca relative to Ahmad Hiasat Jordan Ahmad Hiasat's profile →
Citations per field
00.5×1.5×
Ahmad Hiasat · 1×
Citations per year

Countries citing papers authored by A.F. Tenca

Since Specialization
Citations

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

Fields of papers citing papers by A.F. Tenca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.F. Tenca. 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 A.F. Tenca. The network helps show where A.F. Tenca may publish in the future.

Co-authors

The 8 scholars most cited alongside A.F. Tenca, 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 A.F. Tenca Line = papers co-authored together A.F. Tenca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003165
2 199849
3 200331
4 200428
5 200924
6 200320
7 200419
8 200416
9 200213
10 201412
11 200411
12 200411
13 200110
14 201110
15 20059
16
A design framework for scalable and unified architectures that perform multiplication in GF(p) and GF(2^m)
20049
17 20098
18 20067
19
Variable long-precision arithmetic (vlpa) for reconfigurable coprocessor architectures
19986
20 20056

About A.F. Tenca

A.F. Tenca is a scholar working on Information Systems, Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics and Signal Processing, having authored 37 papers that have together received 517 indexed citations. Recurring topics across this work include Coding theory and cryptography (18 papers), Cryptography and Residue Arithmetic (18 papers), Cryptography and Data Security (14 papers), Numerical Methods and Algorithms (13 papers), Low-power high-performance VLSI design (12 papers), Digital Filter Design and Implementation (8 papers), Parallel Computing and Optimization Techniques (6 papers) and Advancements in PLL and VCO Technologies (5 papers). The work is most often cited by research in Information Systems (341 citations), Artificial Intelligence (343 citations), Hardware and Architecture (46 citations), Computational Theory and Mathematics (107 citations) and Signal Processing (48 citations). A.F. Tenca has collaborated with scholars based in United States, Brazil and Jordan. Frequent co-authors include Çetin Kaya Koç, M.D. Ercegovac, Lo’ai Tawalbeh, Adnan Gutub, Mircea R. Stan, Erkay Savaş, Wilson Vicente Ruggiero and L. Lucchese. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Electronics Letters, Integration and IEEE Potentials.

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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