Uolevi Nikula

42 total papers · 697 total citations
36 papers, 467 citations indexed

About

Uolevi Nikula is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Uolevi Nikula has authored 36 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 18 papers in Computer Science Applications and 10 papers in Artificial Intelligence. Recurrent topics in Uolevi Nikula's work include Software Engineering Techniques and Practices (16 papers), Teaching and Learning Programming (12 papers) and Software Engineering Research (10 papers). Uolevi Nikula is often cited by papers focused on Software Engineering Techniques and Practices (16 papers), Teaching and Learning Programming (12 papers) and Software Engineering Research (10 papers). Uolevi Nikula collaborates with scholars based in Finland, Sweden and Switzerland. Uolevi Nikula's co-authors include Jussi Kasurinen, Jorma Sajaniemi, Heikki Kälviäinen, Kari Smolander, Andrey Maglyas, Orlena Gotel, Jari Porras, Jouni Ikonen, Antti Knutas and Matti Tedre and has published in prestigious journals such as IEEE Software, Information and Software Technology and Journal of Systems and Software.

In The Last Decade

Uolevi Nikula

36 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Uolevi Nikula	235	218	124	107	66	36	467
Carla Pacheco	293 1.2×	87 0.4×	88 0.7×	89 0.8×	71 1.1×	34	507
Mark Woodman	257 1.1×	269 1.2×	73 0.6×	117 1.1×	31 0.5×	50	510
Maíra Marques Samary	263 1.1×	168 0.8×	64 0.5×	54 0.5×	39 0.6×	31	447
Leila Jemni Ben Ayed	163 0.7×	193 0.9×	170 1.4×	125 1.2×	55 0.8×	77	484
Iván Ruiz‐Rube	159 0.7×	149 0.7×	80 0.6×	90 0.8×	30 0.5×	41	416
Russell Shackelford	233 1.0×	266 1.2×	49 0.4×	77 0.7×	30 0.5×	21	458
Diego Dermeval	210 0.9×	139 0.6×	222 1.8×	124 1.2×	54 0.8×	66	515
Till Schümmer	226 1.0×	82 0.4×	81 0.7×	80 0.7×	94 1.4×	47	528
Eric Ras	208 0.9×	102 0.5×	76 0.6×	57 0.5×	119 1.8×	45	521
H. James Nelson	230 1.0×	92 0.4×	99 0.8×	26 0.2×	115 1.7×	29	433

Countries citing papers authored by Uolevi Nikula

Since Specialization

Citations

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

Fields of papers citing papers by Uolevi Nikula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uolevi Nikula

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