Pando Georgiev

1000 total citations
47 papers, 363 citations indexed

About

Pando Georgiev is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Signal Processing. According to data from OpenAlex, Pando Georgiev has authored 47 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 16 papers in Applied Mathematics and 15 papers in Signal Processing. Recurrent topics in Pando Georgiev's work include Optimization and Variational Analysis (18 papers), Blind Source Separation Techniques (15 papers) and Spectroscopy and Chemometric Analyses (8 papers). Pando Georgiev is often cited by papers focused on Optimization and Variational Analysis (18 papers), Blind Source Separation Techniques (15 papers) and Spectroscopy and Chemometric Analyses (8 papers). Pando Georgiev collaborates with scholars based in United States, Bulgaria and Japan. Pando Georgiev's co-authors include Andrzej Cichocki, Aris Daniilidis, Pãnos M. Pardalos, Fabian J. Theis, Tamaki Tanaka, Jean‐Paul Penot, F. S. de Blasi, Pãnos M. Pardalos, Mujahid N. Syed and Yuanqing Li and has published in prestigious journals such as European Journal of Operational Research, Journal of Mathematical Analysis and Applications and Computers & Operations Research.

In The Last Decade

Pando Georgiev

44 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pando Georgiev United States 10 190 96 83 81 53 47 363
Marilena Mitrouli Greece 10 247 1.3× 38 0.4× 62 0.7× 60 0.7× 53 1.0× 74 387
Xavier Mary France 7 139 0.7× 16 0.2× 27 0.3× 30 0.4× 14 0.3× 27 286
Jorma K. Merikoski Finland 10 160 0.8× 13 0.1× 65 0.8× 54 0.7× 84 1.6× 62 321
三郎 齋藤 3 39 0.2× 34 0.4× 11 0.1× 113 1.4× 17 0.3× 3 260
Alexander E. Litvak Canada 11 61 0.3× 26 0.3× 28 0.3× 254 3.1× 75 1.4× 43 443
Susana Furtado Portugal 12 251 1.3× 27 0.3× 90 1.1× 46 0.6× 45 0.8× 68 328
Κ. Jetter Germany 10 43 0.2× 35 0.4× 53 0.6× 105 1.3× 6 0.1× 21 425
A. Melman United States 11 218 1.1× 11 0.1× 146 1.8× 39 0.5× 52 1.0× 52 344
Ljiljana Cvetković Serbia 15 560 2.9× 30 0.3× 333 4.0× 39 0.5× 50 0.9× 55 623
Dmitriy Drusvyatskiy United States 11 202 1.1× 13 0.1× 164 2.0× 39 0.5× 67 1.3× 37 319

Countries citing papers authored by Pando Georgiev

Since Specialization
Citations

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

Fields of papers citing papers by Pando Georgiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pando Georgiev

This figure shows the co-authorship network connecting the top 25 collaborators of Pando Georgiev. A scholar is included among the top collaborators of Pando Georgiev 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 Pando Georgiev. Pando Georgiev 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.
Pardalos, P. M., Pando Georgiev, & H. M. Srivastava. (2012). Nonlinear analysis : stability, approximation, and inequalities : in honor of Themistocles M. Rassias on the occasion of his 60th birthday. Springer eBooks. 1 indexed citations
2.
Georgiev, Pando & Pãnos M. Pardalos. (2011). Generalized Nash equilibrium problems for lower semi-continuous strategy maps. Journal of Global Optimization. 50(1). 119–125. 4 indexed citations
3.
Georgiev, Pando, Pãnos M. Pardalos, & Andrzej Cichocki. (2007). Algorithms with high order convergence speed for blind source extraction. Computational Optimization and Applications. 38(1). 123–131. 2 indexed citations
4.
Theis, Fabian J., Pando Georgiev, & Andrzej Cichocki. (2006). Robust Sparse Component Analysis Based on a Generalized Hough Transform. EURASIP Journal on Advances in Signal Processing. 2007(1). 7 indexed citations
5.
Georgiev, Pando, Anca Ralescu, & Dan A. Ralescu. (2006). Cross-cumulants measure for independence. Journal of Statistical Planning and Inference. 137(3). 1085–1098. 2 indexed citations
6.
Georgiev, Pando. (2005). Porosity and differentiability in smooth Banach spaces. Proceedings of the American Mathematical Society. 133(6). 1621–1628. 2 indexed citations
7.
Georgiev, Pando. (2005). Parametric Borwein-Preiss variational principle and applications. Proceedings of the American Mathematical Society. 133(11). 3211–3225. 9 indexed citations
8.
Georgiev, Pando & Anca Ralescu. (2005). Clustering on subspaces and sparse representation of signals. 1843–1846 Vol. 2. 2 indexed citations
9.
Theis, Fabian J., Pando Georgiev, & Andrzej Cichocki. (2004). Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. University of Regensburg Publication Server (University of Regensburg). 343–348. 10 indexed citations
10.
Georgiev, Pando & Andrzej Cichocki. (2004). Sparseness Theorems and Sparse Representation of Signals (Nonlinear Analysis and Convex Analysis). Kyoto University Research Information Repository (Kyoto University). 1365. 83–94. 1 indexed citations
11.
Blasi, F. S. de & Pando Georgiev. (2003). Hukuhara’s Topological Degree for non Compact Valued Multifunctions. Publications of the Research Institute for Mathematical Sciences. 39(1). 183–203. 2 indexed citations
12.
Georgiev, Pando & Andrzej Cichocki. (2003). Robust Independent Component Analysis via Time-Delayed Cumulant Functions. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(3). 573–579. 11 indexed citations
13.
Cichocki, Andrzej & Pando Georgiev. (2003). Blind Source Separation Algorithms with Matrix Constraints. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(3). 522–531. 42 indexed citations
14.
Daniilidis, Aris & Pando Georgiev. (2003). Approximate convexity and submonotonicity. Journal of Mathematical Analysis and Applications. 291(1). 292–301. 54 indexed citations
15.
Georgiev, Pando & Tamaki Tanaka. (2001). Ky Fan's Inequality for Set-Valued Maps with Vector-Valued Images (Nonlinear Analysis and Convex Analysis). Kyoto University Research Information Repository (Kyoto University). 1187. 143–154. 1 indexed citations
16.
Georgiev, Pando, et al.. (2001). A random variational principle with application to weak Hadamard differentiability of convex integral functionals. Proceedings of the American Mathematical Society. 129(8). 2253–2260. 1 indexed citations
17.
Georgiev, Pando, et al.. (2000). Reconstruction of the Clarke Subdifferential by the Lasry–Lions Regularizations. Journal of Mathematical Analysis and Applications. 248(2). 415–428. 4 indexed citations
18.
Georgiev, Pando, et al.. (2000). Mazur Intersection Properties and Differentiability of Convex Functions in Banach Spaces. Journal of the London Mathematical Society. 61(2). 531–542. 9 indexed citations
19.
Georgiev, Pando. (1997). Submonotone Mappings in Banach Spaces and Applications. Set-Valued Analysis. 5(1). 1–35. 20 indexed citations
20.
Georgiev, Pando, et al.. (1997). Generic Gateaux differentiability via smooth perturbations. Bulletin of the Australian Mathematical Society. 56(3). 421–428. 1 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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