Timo Nihtilä

30 total papers · 616 total citations
25 papers, 444 citations indexed

About

Timo Nihtilä is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Timo Nihtilä has authored 25 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Timo Nihtilä's work include Advanced Wireless Network Optimization (19 papers), Wireless Communication Networks Research (15 papers) and Advanced MIMO Systems Optimization (11 papers). Timo Nihtilä is often cited by papers focused on Advanced Wireless Network Optimization (19 papers), Wireless Communication Networks Research (15 papers) and Advanced MIMO Systems Optimization (11 papers). Timo Nihtilä collaborates with scholars based in Finland, Germany and United States. Timo Nihtilä's co-authors include Olli Alanen, Jarkko Kneckt, Zheng Chang, Eng Hwee Ong, Nitin Mangalvedhe, Rapeepat Ratasuk, Sassan Iraji, Martti Moisio, Mikko A. Uusitalo and Tapani Ristaniemi and has published in prestigious journals such as IEEE Communications Magazine, Wireless Personal Communications and Jyväskylä University Digital Archive (University of Jyväskylä).

In The Last Decade

Timo Nihtilä

23 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
Timo Nihtilä	401	381	15	13	12	25	444
Basuki E. Priyanto	372 0.9×	289 0.8×	9 0.6×	19 1.5×	23 1.9×	19	440
Peerapol Tinnakornsrisuphap	235 0.6×	341 0.9×	10 0.7×	10 0.8×	13 1.1×	24	405
Patrick Murphy	286 0.7×	326 0.9×	15 1.0×	6 0.5×	18 1.5×	23	420
Yong Teng	376 0.9×	207 0.5×	27 1.8×	17 1.3×	29 2.4×	20	413
Stephan Pfletschinger	411 1.0×	328 0.9×	6 0.4×	8 0.6×	28 2.3×	41	437
Andreas Eisenblätter	296 0.7×	292 0.8×	9 0.6×	5 0.4×	19 1.6×	29	375
Toufiqul Islam	361 0.9×	298 0.8×	11 0.7×	10 0.8×	29 2.4×	25	407
K.K. Soo	373 0.9×	254 0.7×	9 0.6×	5 0.4×	13 1.1×	16	399
Mohammad Shaqfeh	420 1.0×	312 0.8×	8 0.5×	21 1.6×	40 3.3×	53	458
Anton Kiryanov	375 0.9×	365 1.0×	20 1.3×	6 0.5×	30 2.5×	16	461

Countries citing papers authored by Timo Nihtilä

Since Specialization

Citations

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

Fields of papers citing papers by Timo Nihtilä

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Nihtilä

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Nihtilä. A scholar is included among the top collaborators of Timo Nihtilä 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 Timo Nihtilä. Timo Nihtilä 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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