Dror Irony

445 total citations
11 papers, 253 citations indexed

About

Dror Irony is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Dror Irony has authored 11 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 6 papers in Hardware and Architecture and 5 papers in Computational Theory and Mathematics. Recurrent topics in Dror Irony's work include Interconnection Networks and Systems (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Matrix Theory and Algorithms (4 papers). Dror Irony is often cited by papers focused on Interconnection Networks and Systems (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Matrix Theory and Algorithms (4 papers). Dror Irony collaborates with scholars based in Israel, United Kingdom and China. Dror Irony's co-authors include Sivan Toledo, Alexander Tiskin, Olga Sorkine, Daniel Cohen‐Or, Hagai Aronowitz, David Burshtein, N. Peterfreund, Itsik Dvir and Haitao Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Future Generation Computer Systems and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Dror Irony

11 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dror Irony Israel	7	141	129	72	52	51	11	253
Wolfgang K. Giloi Germany	9	156 1.1×	154 1.2×	29 0.4×	28 0.5×	60 1.2×	63	277
Kyusik Chung South Korea	10	54 0.4×	68 0.5×	47 0.7×	16 0.3×	68 1.3×	35	264
David Vandevoorde United States	6	59 0.4×	45 0.3×	26 0.4×	30 0.6×	58 1.1×	8	195
R. Ponnusamy United States	12	389 2.8×	380 2.9×	50 0.7×	46 0.9×	55 1.1×	35	510
Kiran Kumar Matam United States	7	119 0.8×	138 1.1×	28 0.4×	8 0.2×	61 1.2×	12	221
Dominique LaSalle United States	6	61 0.4×	102 0.8×	14 0.2×	15 0.3×	76 1.5×	7	231
Marco Zagha United States	11	536 3.8×	486 3.8×	64 0.9×	12 0.2×	154 3.0×	14	635
Stefan Schamberger Germany	8	35 0.2×	128 1.0×	52 0.7×	13 0.3×	47 0.9×	12	204
Yuan‐Shin Hwang Taiwan	10	276 2.0×	226 1.8×	31 0.4×	16 0.3×	66 1.3×	39	336
Jiannan Tian United States	11	126 0.9×	150 1.2×	17 0.2×	7 0.1×	143 2.8×	29	344

Countries citing papers authored by Dror Irony

Since Specialization

Citations

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

Fields of papers citing papers by Dror Irony

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dror Irony

This figure shows the co-authorship network connecting the top 25 collaborators of Dror Irony. A scholar is included among the top collaborators of Dror Irony 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 Dror Irony. Dror Irony is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Dvir, Itsik, et al.. (2020). Orthogonal Directional Transforms Using Discrete Directional Laplacian Eigen Solutions for Beyond HEVC Intra Coding. IEEE Transactions on Image Processing. 29. 5136–5146. 1 indexed citations

2.

Dvir, Itsik, et al.. (2017). Trapezoidal block split using orthogonal C2 transforms for HEVC video coding. 1016–1020. 2 indexed citations

3.

Irony, Dror, et al.. (2006). An out-of-core sparse symmetric-indefinite factorization method. ACM Transactions on Mathematical Software. 32(3). 445–471. 10 indexed citations

4.

Irony, Dror & Sivan Toledo. (2006). The Snap-Back Pivoting Method for Symmetric Banded Indefinite Matrices. SIAM Journal on Matrix Analysis and Applications. 28(2). 398–424. 4 indexed citations

5.

Sorkine, Olga, Daniel Cohen‐Or, Dror Irony, & Sivan Toledo. (2005). Geometry-aware bases for shape approximation. IEEE Transactions on Visualization and Computer Graphics. 11(2). 171–180. 48 indexed citations

6.

Aronowitz, Hagai, Dror Irony, & David Burshtein. (2005). Modeling intra-speaker variability for speaker recognition. 2177–2180. 17 indexed citations

7.

Irony, Dror, et al.. (2004). Parallel and fully recursive multifrontal sparse Cholesky. Future Generation Computer Systems. 20(3). 425–440. 20 indexed citations

8.

Irony, Dror, Sivan Toledo, & Alexander Tiskin. (2004). Communication lower bounds for distributed-memory matrix multiplication. Journal of Parallel and Distributed Computing. 64(9). 1017–1026. 125 indexed citations

9.

Irony, Dror. (2002). Trading Replication for Communication in Parallel Distributed-Memory Dense Solvers. Parallel Processing Letters. 12(1). 79–94. 11 indexed citations

10.

Irony, Dror & Sivan Toledo. (2002). TRADING REPLICATION FOR COMMUNICATION IN PARALLEL DISTRIBUTED-MEMORY DENSE SOLVERS. Parallel Processing Letters. 12(1). 79–94. 10 indexed citations

11.

Irony, Dror & Sivan Toledo. (2001). Communication-Efficient Parallel Dense LU Using a3-Dimnsional Approach.. PPSC. 5 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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