Erik Schaffernicht

96 total papers · 851 total citations
55 papers, 548 citations indexed

About

Erik Schaffernicht is a scholar working on Biomedical Engineering, Insect Science and Artificial Intelligence. According to data from OpenAlex, Erik Schaffernicht has authored 55 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 23 papers in Insect Science and 19 papers in Artificial Intelligence. Recurrent topics in Erik Schaffernicht's work include Insect Pheromone Research and Control (23 papers), Advanced Chemical Sensor Technologies (23 papers) and Air Quality Monitoring and Forecasting (9 papers). Erik Schaffernicht is often cited by papers focused on Insect Pheromone Research and Control (23 papers), Advanced Chemical Sensor Technologies (23 papers) and Air Quality Monitoring and Forecasting (9 papers). Erik Schaffernicht collaborates with scholars based in Sweden, Germany and United Kingdom. Erik Schaffernicht's co-authors include Achim J. Lilienthal, Victor Hernandez Bennetts, Marco Trincavelli, Tomasz Piotr Kucner, Horst–Michael Groß, Andrea Scheidig, Martin Magnusson, Todor Stoyanov, Christian Martín and Patrick P. Neumann and has published in prestigious journals such as Journal of the American Chemical Society, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Erik Schaffernicht

52 papers receiving 534 citations

Author Peers

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

Author						Papers	Cites
Erik Schaffernicht	258	196	117	109	81	55	548
Kamarulzaman Kamarudin	180 0.7×	84 0.4×	84 0.7×	255 2.3×	25 0.3×	66	546
Lihang Feng	202 0.8×	29 0.1×	40 0.3×	130 1.2×	18 0.2×	54	513
Sahar Asadi	169 0.7×	147 0.8×	43 0.4×	16 0.1×	62 0.8×	23	479
Zdenka Babić	81 0.3×	41 0.2×	206 1.8×	136 1.2×	56 0.7×	40	564
José Chilo	197 0.8×	29 0.1×	58 0.5×	289 2.7×	19 0.2×	56	538
Jianhua Deng	47 0.2×	33 0.2×	264 2.3×	25 0.2×	82 1.0×	38	577
Miguel Macías Macías	148 0.6×	50 0.3×	46 0.4×	100 0.9×	66 0.8×	38	487
Eduard Clotet	151 0.6×	28 0.1×	154 1.3×	93 0.9×	21 0.3×	35	475
Qinghua He	276 1.1×	120 0.6×	10 0.1×	157 1.4×	36 0.4×	62	523
Marco Cagnetti	71 0.3×	25 0.1×	44 0.4×	219 2.0×	29 0.4×	38	594

Countries citing papers authored by Erik Schaffernicht

Since Specialization

Citations

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

Fields of papers citing papers by Erik Schaffernicht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Schaffernicht

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