Paweł Strumiłło

102 total papers · 1.0k total citations
59 papers, 612 citations indexed

About

Paweł Strumiłło is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paweł Strumiłło has authored 59 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 15 papers in Human-Computer Interaction and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paweł Strumiłło's work include Tactile and Sensory Interactions (18 papers), Gaze Tracking and Assistive Technology (10 papers) and Robotics and Sensor-Based Localization (9 papers). Paweł Strumiłło is often cited by papers focused on Tactile and Sensory Interactions (18 papers), Gaze Tracking and Assistive Technology (10 papers) and Robotics and Sensor-Based Localization (9 papers). Paweł Strumiłło collaborates with scholars based in Poland, Romania and Norway. Paweł Strumiłło's co-authors include Aleksandra Królak, Ewa Niebudek-Bogusz, Simona Caraiman, Adrian Burlacu, Florica Moldoveanu, Alin Moldoveanu, Anca Morar, Andrzej Materka, Mariola Śliwińska‐Kowalska and Justyna Wiktorowicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Paweł Strumiłło

53 papers receiving 555 citations

Author Peers

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

Author						Papers	Cites
Paweł Strumiłło	341	214	156	90	59	59	612
Yuki Hashimoto	228 0.7×	199 0.9×	78 0.5×	82 0.9×	28 0.5×	67	564
Shafiq ur Réhman	122 0.4×	255 1.2×	209 1.3×	40 0.4×	105 1.8×	70	688
Ying Zhang	204 0.6×	38 0.2×	88 0.6×	81 0.9×	53 0.9×	66	570
Alessandro Montanari	92 0.3×	89 0.4×	157 1.0×	27 0.3×	162 2.7×	44	581
Pradeep Buddharaju	67 0.2×	100 0.5×	287 1.8×	114 1.3×	39 0.7×	20	678
Chang Geun Song	157 0.5×	289 1.4×	104 0.7×	69 0.8×	16 0.3×	48	641
Troy McDaniel	314 0.9×	238 1.1×	73 0.5×	93 1.0×	17 0.3×	72	600
Takenao Sugi	270 0.8×	56 0.3×	32 0.2×	58 0.6×	68 1.2×	116	598
Martin Fritzsche	195 0.6×	42 0.2×	134 0.9×	247 2.7×	46 0.8×	27	692
Byung Hyung Kim	317 0.9×	129 0.6×	80 0.5×	98 1.1×	76 1.3×	26	519

Countries citing papers authored by Paweł Strumiłło

Since Specialization

Citations

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

Fields of papers citing papers by Paweł Strumiłło

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Strumiłło

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