Alexander Rivosh

476 total citations
11 papers, 201 citations indexed

About

Alexander Rivosh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Alexander Rivosh has authored 11 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Molecular Biology. Recurrent topics in Alexander Rivosh's work include Quantum Computing Algorithms and Architecture (6 papers), Optimization and Search Problems (3 papers) and Quantum-Dot Cellular Automata (3 papers). Alexander Rivosh is often cited by papers focused on Quantum Computing Algorithms and Architecture (6 papers), Optimization and Search Problems (3 papers) and Quantum-Dot Cellular Automata (3 papers). Alexander Rivosh collaborates with scholars based in Latvia, Russia and Italy. Alexander Rivosh's co-authors include Andris Ambainis, Julia Kempe, Aija Linē, Olga Minenkova, Mārcis Leja, Dirk Schadendorf, Zane Kalniņa, Artūrs Ābols, Karīna Siliņa and Pawel Zayakin and has published in prestigious journals such as Journal of Immunological Methods, Theoretical Computer Science and Journal of the European Academy of Dermatology and Venereology.

In The Last Decade

Alexander Rivosh

11 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Rivosh Latvia	5	138	95	41	34	27	11	201
Megha Khosla Germany	10	189 1.4×	12 0.1×	64 1.6×	43 1.3×	10 0.4×	25	298
Óscar Álvarez-Machancoses Spain	8	37 0.3×	50 0.5×	93 2.3×	5 0.1×	27 1.0×	13	276
Aaron Robertson United States	10	75 0.5×	118 1.2×	19 0.5×	3 0.1×	77 2.9×	29	396
Gabriella Trucco Italy	9	50 0.4×	58 0.6×	57 1.4×	3 0.1×	34 1.3×	38	235
Yangyang Guo China	11	58 0.4×	11 0.1×	52 1.3×	39 1.1×	8 0.3×	42	306
Ashraf Yaseen United States	10	35 0.3×	41 0.4×	119 2.9×	6 0.2×	8 0.3×	33	273
D. Zaccarin Canada	7	275 2.0×	25 0.3×	59 1.4×	25 0.7×	6 0.2×	9	560
Marcus Rosenblatt Germany	9	19 0.1×	22 0.2×	160 3.9×	18 0.5×	9 0.3×	13	339
Yonghwa Choi South Korea	8	114 0.8×	44 0.5×	135 3.3×	2 0.1×	16 0.6×	17	234

Countries citing papers authored by Alexander Rivosh

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Rivosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Rivosh

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

All Works

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11 of 11 papers shown

Khadiev, Kamil, et al.. (2023). Quantum Versus Classical Online Streaming Algorithms with Logarithmic Size of Memory. Lobachevskii Journal of Mathematics. 44(2). 687–698. 1 indexed citations

Khadiev, Kamil, et al.. (2022). Two-way and one-way quantum and classical automata with advice for online minimization problems. Theoretical Computer Science. 920. 76–94. 5 indexed citations

Rivosh, Alexander, et al.. (2018). Quantum Walks on Two-Dimensional Grids with Multiple Marked Locations. International Journal of Foundations of Computer Science. 29(4). 687–700. 2 indexed citations

Rivosh, Alexander, et al.. (2018). Grover’s Search with Faults on Some Marked Elements. International Journal of Foundations of Computer Science. 29(4). 647–662. 2 indexed citations

Khadiev, Kamil, et al.. (2017). Quantum versus Classical Online Algorithms with Advice and Logarithmic Space.. arXiv (Cornell University). 2 indexed citations

Ambainis, Andris, et al.. (2013). On symmetric nonlocal games. Theoretical Computer Science. 494. 36–48. 1 indexed citations

Ruklisa, Dace, et al.. (2012). Melanoma epidemiology, prognosis and trends in Latvia. Journal of the European Academy of Dermatology and Venereology. 27(11). 1352–1359. 14 indexed citations

Pjanova, Dace, et al.. (2011). Prognostic factors and epidemiological characteristics of cutaneous and mucosal head and neck melanoma.. PubMed. 13(2). 49–54. 6 indexed citations

Kalniņa, Zane, Karīna Siliņa, Irēna Meistere, et al.. (2008). Evaluation of T7 and lambda phage display systems for survey of autoantibody profiles in cancer patients. Journal of Immunological Methods. 334(1-2). 37–50. 41 indexed citations

10.

Siliņa, Karīna, Zane Kalniņa, Irēna Meistere, et al.. (2008). Analyses of novel tumour antigens as targets for cancer immunotherapy. European Journal of Cancer Supplements. 6(9). 168–168. 1 indexed citations

11.

Ambainis, Andris, Julia Kempe, & Alexander Rivosh. (2005). Coins make quantum walks faster. Symposium on Discrete Algorithms. 1099–1108. 126 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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