Angelo Corana

1.8k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Angelo Corana is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Angelo Corana has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Statistical and Nonlinear Physics and 9 papers in Economics and Econometrics. Recurrent topics in Angelo Corana's work include Chaos control and synchronization (11 papers), Complex Systems and Time Series Analysis (9 papers) and Distributed and Parallel Computing Systems (6 papers). Angelo Corana is often cited by papers focused on Chaos control and synchronization (11 papers), Complex Systems and Time Series Analysis (9 papers) and Distributed and Parallel Computing Systems (6 papers). Angelo Corana collaborates with scholars based in Italy, Spain and United States. Angelo Corana's co-authors include Sandro Ridella, Michele Marchesi, Claudio Martini, Andrea Clematis, Bruno Bianco, Ravi Ranjan, Alfonso Quarati, G. Bortolan, Nitish V. Thakor and Daniele D’Agostino and has published in prestigious journals such as Physics Letters A, Electronics Letters and Chaos Solitons & Fractals.

In The Last Decade

Angelo Corana

22 papers receiving 1.3k citations

Hit Papers

Minimizing multimodal functions of continuous variables w... 1987 2026 2000 2013 1987 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angelo Corana Italy 10 271 207 179 164 111 23 1.4k
Claudio Martini Italy 3 245 0.9× 205 1.0× 173 1.0× 139 0.8× 46 0.4× 5 1.2k
Ralph Hartley United States 11 427 1.6× 118 0.6× 73 0.4× 118 0.7× 83 0.7× 18 1.6k
Wai Wan Tsang Hong Kong 11 420 1.5× 194 0.9× 84 0.5× 134 0.8× 155 1.4× 15 1.7k
Ward Cheney United States 10 241 0.9× 329 1.6× 175 1.0× 284 1.7× 115 1.0× 14 2.2k
Hans Sagan United States 12 139 0.5× 335 1.6× 133 0.7× 164 1.0× 226 2.0× 32 1.9k
Jonathan Blackledge United Kingdom 15 159 0.6× 59 0.3× 179 1.0× 239 1.5× 61 0.5× 138 1.7k
Walter Gander Switzerland 18 139 0.5× 325 1.6× 157 0.9× 252 1.5× 96 0.9× 45 2.0k
Martin Buhmann Germany 20 260 1.0× 316 1.5× 96 0.5× 250 1.5× 31 0.3× 61 2.5k
John H. Mathews United States 7 157 0.6× 134 0.6× 136 0.8× 261 1.6× 96 0.9× 29 1.4k
Robert J. Buehler United States 20 196 0.7× 258 1.2× 138 0.8× 108 0.7× 77 0.7× 45 1.8k

Countries citing papers authored by Angelo Corana

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Corana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Corana

This figure shows the co-authorship network connecting the top 25 collaborators of Angelo Corana. A scholar is included among the top collaborators of Angelo Corana 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 Angelo Corana. Angelo Corana 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.
Clematis, Andrea, Angelo Corana, Daniele D’Agostino, Antonella Galizia, & Alfonso Quarati. (2010). Job–resource matchmaking on Grid through two-level benchmarking. Future Generation Computer Systems. 26(8). 1165–1179. 14 indexed citations
2.
Clematis, Andrea, Daniele D’Agostino, Alfonso Quarati, et al.. (2008). A Distributed Approach for Structured Resource Discovery on Grid. IRIS eCampus Telematic University (Università degli Studi eCampus). 3428. 117–125. 3 indexed citations
3.
Corana, Angelo, et al.. (2003). Most probable dimension value and most flat interval methods for automatic estimation of dimension from time series. Chaos Solitons & Fractals. 20(4). 779–790. 11 indexed citations
4.
Corana, Angelo, et al.. (2002). On the correlation dimension of ECG signals. 4. 1719–1720. 1 indexed citations
5.
Corana, Angelo, et al.. (2002). Study of the Lyapunov exponents of ECG signals from MIT-BIH database. 898. 697–700. 13 indexed citations
6.
Corana, Angelo, et al.. (2002). Using the pointwise dimension to filter time series. Chaos Solitons & Fractals. 14(9). 1477–1485. 2 indexed citations
7.
Clematis, Andrea & Angelo Corana. (2002). PORTING REGULAR APPLICATIONS ON HETEROGENEOUS WORKSTATION NETWORKS: PERFORMANCE ANALYSIS AND MODELING. Parallel algorithms and applications. 17(3). 205–226.
8.
Clematis, Andrea, Angelo Corana, Daniele D’Agostino, Antonella Galizia, & Alfonso Quarati. (2001). Matching Jobs with Resources: an application-driven approach. Scalable Computing Practice and Experience. 11(2). 109–120. 1 indexed citations
9.
Corana, Angelo, et al.. (2000). A posteriori tests to validate dimension estimates from time series. Chaos Solitons & Fractals. 11(13). 2017–2030. 9 indexed citations
10.
Clematis, Andrea & Angelo Corana. (1999). Modeling performance of heterogeneous parallel computing systems. Parallel Computing. 25(9). 1131–1145. 20 indexed citations
11.
Corana, Angelo. (1999). Parallel computation of the correlation dimension from a time series. Parallel Computing. 25(6). 639–666. 3 indexed citations
12.
Corana, Angelo. (1998). Computing the correlation dimension on a network of workstations. Concurrency Practice and Experience. 10(10). 737–762. 3 indexed citations
13.
Corana, Angelo, et al.. (1996). DIMENSIONAL ANALYSIS OF THE ELECTRICAL ACTIVITY IN FIBRILLATING ISOLATED HEARTS. International Journal of Bifurcation and Chaos. 6(8). 1547–1561. 16 indexed citations
14.
Corana, Angelo, et al.. (1995). Correlation dimension estimation from electrocardiograms. Chaos Solitons & Fractals. 5(3-4). 713–726. 21 indexed citations
15.
Corana, Angelo, et al.. (1995). An optimized direct algorithm to estimate the Kolmogorov entropy from a time series. Physics Letters A. 207(1-2). 77–82. 2 indexed citations
16.
Corana, Angelo, et al.. (1991). Efficient computation of the correlation dimension from a time series on a LIW computer. Parallel Computing. 17(6-7). 809–820. 21 indexed citations
17.
Corana, Angelo, et al.. (1989). Corrigenda: “Minimizing Multimodal Functions of Continuous Variables with the 'Simulated Annealing' Algorithm”Full text of the original article is available here. ACM Transactions on Mathematical Software. 15(3). 287–287. 6 indexed citations
18.
Corana, Angelo, Michele Marchesi, Claudio Martini, & Sandro Ridella. (1987). Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm—Corrigenda for this article is available here. ACM Transactions on Mathematical Software. 13(3). 262–280. 1172 indexed citations breakdown →
19.
Bianco, Bruno, et al.. (1980). Open-circuited coaxial lines as standards for microwave measurements. Electronics Letters. 16(10). 373–374. 14 indexed citations
20.
Bianco, Bruno, et al.. (1978). Evaluation of Errors in Calibration Procedures for Measurements of Reflection Coefficient. IEEE Transactions on Instrumentation and Measurement. 27(4). 354–358. 25 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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