Mika Göös

102 total papers · 753 total citations
44 papers, 260 citations indexed

About

Mika Göös is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mika Göös has authored 44 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Theory and Mathematics, 34 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Mika Göös's work include Complexity and Algorithms in Graphs (36 papers), Cryptography and Data Security (22 papers) and Optimization and Search Problems (9 papers). Mika Göös is often cited by papers focused on Complexity and Algorithms in Graphs (36 papers), Cryptography and Data Security (22 papers) and Optimization and Search Problems (9 papers). Mika Göös collaborates with scholars based in Canada, United States and Switzerland. Mika Göös's co-authors include Toniann Pitassi, Jukka Suomela, Thomas Watson, Juho Hirvonen, T. S. Jayram, Pritish Kamath, Raghu Meka, David Zuckerman, Shachar Lovett and Amos Korman and has published in prestigious journals such as Journal of the ACM, SIAM Journal on Computing and Journal of Computer and System Sciences.

In The Last Decade

Mika Göös

39 papers receiving 237 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mika Göös	230	148	84	17	11	44	260
Carme Àlvarez	102 0.4×	64 0.4×	114 1.4×	32 1.9×	6 0.5×	32	220
Richard Chang	169 0.7×	98 0.7×	34 0.4×	9 0.5×	6 0.5×	26	195
Omri Weinstein	136 0.6×	110 0.7×	40 0.5×	33 1.9×	9 0.8×	32	195
H. Venkateswaran	143 0.6×	117 0.8×	144 1.7×	19 1.1×	10 0.9×	33	304
Yushi Uno	189 0.8×	38 0.3×	70 0.8×	52 3.1×	12 1.1×	40	246
Thomas Thierauf	281 1.2×	190 1.3×	48 0.6×	25 1.5×	3 0.3×	51	327
Arnab Bhattacharyya	160 0.7×	130 0.9×	56 0.7×	15 0.9×	8 0.7×	34	219
Thomas Colcombet	204 0.9×	235 1.6×	50 0.6×	5 0.3×	31 2.8×	38	307
Bart M. P. Jansen	214 0.9×	28 0.2×	54 0.6×	22 1.3×	17 1.5×	45	253
Andrzej Szepietowski	152 0.7×	77 0.5×	60 0.7×	29 1.7×	41 3.7×	35	223

Countries citing papers authored by Mika Göös

Since Specialization

Citations

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

Fields of papers citing papers by Mika Göös

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Göös

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

All Works

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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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