F. Daneshgaran

1.2k total citations
87 papers, 782 citations indexed

About

F. Daneshgaran is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, F. Daneshgaran has authored 87 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Electrical and Electronic Engineering, 37 papers in Computer Networks and Communications and 27 papers in Artificial Intelligence. Recurrent topics in F. Daneshgaran's work include Advanced Wireless Communication Techniques (34 papers), Error Correcting Code Techniques (21 papers) and Wireless Communication Networks Research (13 papers). F. Daneshgaran is often cited by papers focused on Advanced Wireless Communication Techniques (34 papers), Error Correcting Code Techniques (21 papers) and Wireless Communication Networks Research (13 papers). F. Daneshgaran collaborates with scholars based in United States, Italy and Israel. F. Daneshgaran's co-authors include M. Mondin, Massimiliano Laddomada, Fabio Mesiti, Kung Yao, Fabio Dovis, Paolo Mulassano, K. Yao, Inam Bari, Marı́a J. Delgado and Stefano Olivares and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

F. Daneshgaran

77 papers receiving 726 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Daneshgaran United States 14 594 578 88 72 53 87 782
W.T. Webb United Kingdom 10 632 1.1× 831 1.4× 55 0.6× 69 1.0× 56 1.1× 22 897
Shu‐Ming Tseng Taiwan 12 359 0.6× 497 0.9× 142 1.6× 71 1.0× 41 0.8× 97 670
Char‐Dir Chung Taiwan 15 339 0.6× 556 1.0× 55 0.6× 53 0.7× 84 1.6× 81 706
Jia‐Chin Lin Taiwan 13 333 0.6× 436 0.8× 32 0.4× 33 0.5× 30 0.6× 59 520
M. Speth Germany 10 802 1.4× 1.1k 2.0× 74 0.8× 113 1.6× 54 1.0× 14 1.2k
Allen H. Levesque United States 9 486 0.8× 562 1.0× 183 2.1× 45 0.6× 37 0.7× 20 749
L. Greenstein United States 14 474 0.8× 772 1.3× 115 1.3× 69 1.0× 59 1.1× 28 883
Dominik Seethaler Austria 15 772 1.3× 1.0k 1.8× 203 2.3× 41 0.6× 27 0.5× 34 1.1k
Henrik Schulze Germany 7 232 0.4× 417 0.7× 31 0.4× 38 0.5× 44 0.8× 26 491
Ahmed Douik United States 16 425 0.7× 617 1.1× 52 0.6× 30 0.4× 31 0.6× 45 799

Countries citing papers authored by F. Daneshgaran

Since Specialization
Citations

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

Fields of papers citing papers by F. Daneshgaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Daneshgaran

This figure shows the co-authorship network connecting the top 25 collaborators of F. Daneshgaran. A scholar is included among the top collaborators of F. Daneshgaran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Daneshgaran. F. Daneshgaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bari, Inam, et al.. (2021). Soft decoding of short/medium length codes using ordered statistics for quantum key distribution. International Journal of Quantum Information. 19(6). 1 indexed citations
2.
Mondin, M., et al.. (2017). Permutation modulation for quantization and information reconciliation in CV-QKD systems. 18–18. 3 indexed citations
3.
Daneshgaran, F., M. Mondin, & Inam Bari. (2014). FEC coding for QKD at higher photon flux levels based on spatial entanglement of twin beams in PDC. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9225. 92250I–92250I.
4.
Laddomada, Massimiliano, Fabio Mesiti, M. Mondin, & F. Daneshgaran. (2010). On the throughput performance of multirate IEEE 802.11 networks with variable-loaded stations: analysis, modeling, and a novel proportional fairness criterion. IEEE Transactions on Wireless Communications. 9(5). 1594–1607. 13 indexed citations
5.
Daneshgaran, F., Massimiliano Laddomada, Fabio Mesiti, & M. Mondin. (2007). On the Behavior of the Distributed Coordination Function of IEEE 802.11 with Multirate Capability under General Transmission Conditions. IEEE Transactions on Wireless Communications. 1 indexed citations
6.
Daneshgaran, F., Massimiliano Laddomada, & M. Mondin. (2005). An algorithm for the estimation of the minimum distance of LDPC codes. 2. 1046–1049. 3 indexed citations
7.
Daneshgaran, F. & Paolo Mulassano. (2004). Interleaver Pruning for Construction of Variable-Length Turbo Codes. IEEE Transactions on Information Theory. 50(3). 455–467. 5 indexed citations
8.
Daneshgaran, F. & Paolo Mulassano. (2004). The rate-allocation problem for turbo codes. IEEE Transactions on Communications. 52(6). 861–865. 3 indexed citations
9.
Daneshgaran, F. & Massimiliano Laddomada. (2003). Multiscale iterative LBG clustering for SIMO channel identification. University of Washington Tacoma Digital Commons (University of Washington Tacoma). com 42. 84–88. 1 indexed citations
10.
Daneshgaran, F., et al.. (2002). Blind sequence detection of vector channels based on a novel clustering algorithm. 3. 964–968. 1 indexed citations
11.
12.
Daneshgaran, F., M. Mondin, Paolo Mulassano, & Massimiliano Laddomada. (2001). A Novel Optimization Technique for Turbo Codes. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1–4. 1 indexed citations
13.
Daneshgaran, F., M. Mondin, & Fabio Dovis. (1999). Performance of Wavelet-Based Shaping Pulses on Linear and Non-Linear Channels. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
14.
Daneshgaran, F. & M. Mondin. (1998). Low Complexity Iterative Interleaver Growth Algorithms for Turbo Codes. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
15.
Daneshgaran, F. & M. Mondin. (1997). On Design of Interleavers for Turbo Codes. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 indexed citations
16.
Daneshgaran, F., et al.. (1996). Blind Sequence Detection of Vector Channels Based on a Novel Clustering Algorithm. PORTO Publications Open Repository TOrino (Politecnico di Torino).
17.
Daneshgaran, F. & M. Mondin. (1996). Simplified Viterbi decoding of geometrically uniform TCM codes. IEEE Transactions on Communications. 44(8). 930–937. 2 indexed citations
18.
Daneshgaran, F. & M. Mondin. (1995). Symbol Synchronization for Multi-Channel Modulation. PORTO Publications Open Repository TOrino (Politecnico di Torino). 1 indexed citations
19.
Daneshgaran, F. & M. Mondin. (1995). Multidimensional Signaling with Wavelets. PORTO Publications Open Repository TOrino (Politecnico di Torino). 2 indexed citations
20.
Daneshgaran, F. & M. Mondin. (1995). Orthogonal Frequency Division Multiplexing with Wavelets and its Application to Frequency-Hopped CDMA. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 indexed citations

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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