Thorben Iggena

422 total citations
9 papers, 274 citations indexed

About

Thorben Iggena is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thorben Iggena has authored 9 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thorben Iggena's work include Time Series Analysis and Forecasting (3 papers), Data Stream Mining Techniques (3 papers) and Image and Video Quality Assessment (2 papers). Thorben Iggena is often cited by papers focused on Time Series Analysis and Forecasting (3 papers), Data Stream Mining Techniques (3 papers) and Image and Video Quality Assessment (2 papers). Thorben Iggena collaborates with scholars based in Germany, Austria and Ireland. Thorben Iggena's co-authors include Ralf Tönjes, Marten Fischer, Payam Barnaghi, Şefki Kolozali, Feng Gao, Alessandra Mileo, Nazli Farajidavar, Muhammad Intizar Ali, João F. P. Fernandes and Josiane Xavier Parreira and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Library Osnabrück University (Hochschule Osnabrück).

In The Last Decade

Thorben Iggena

9 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thorben Iggena Germany	5	119	72	58	53	51	9	274
Cosmin-Septimiu Nechifor Germany	3	107 0.9×	63 0.9×	63 1.1×	58 1.1×	46 0.9×	3	244
Dan Puiu Romania	8	121 1.0×	73 1.0×	53 0.9×	51 1.0×	61 1.2×	20	291
Marten Fischer Germany	8	140 1.2×	84 1.2×	58 1.0×	58 1.1×	53 1.0×	17	315
Şefki Kolozali United Kingdom	8	108 0.9×	100 1.4×	55 0.9×	52 1.0×	76 1.5×	20	339
Francesco Nocera Italy	7	106 0.9×	47 0.7×	60 1.0×	35 0.7×	41 0.8×	23	258
Muhammad Diyan South Korea	10	138 1.2×	37 0.5×	55 0.9×	40 0.8×	34 0.7×	20	308
Yann Bocchi Switzerland	9	200 1.7×	39 0.5×	53 0.9×	35 0.7×	83 1.6×	16	332
Adnan Akbar United Kingdom	7	142 1.2×	109 1.5×	19 0.3×	36 0.7×	56 1.1×	9	338
Julie Letchner United States	6	155 1.3×	85 1.2×	31 0.5×	40 0.8×	28 0.5×	10	304
Rida Khatoun France	5	122 1.0×	36 0.5×	96 1.7×	50 0.9×	26 0.5×	15	270

Countries citing papers authored by Thorben Iggena

Since Specialization

Citations

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

Fields of papers citing papers by Thorben Iggena

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorben Iggena

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Iggena, Thorben, et al.. (2020). Quality of Information for IoT-Frameworks. 1–8. 2 indexed citations

2.

Fischer, Marten, et al.. (2020). Virtual Sensor Creation to Replace Faulty Sensors Using Automated Machine Learning Techniques. 1–6. 13 indexed citations

3.

Iggena, Thorben, et al.. (2019). OPeRAte: An IoT Approach towards Collaborative, Manufacturer-independent Farming 4.0. 165–176. 1 indexed citations

4.

Iggena, Thorben, et al.. (2019). An Integrated Data Platform for Agricultural Data Analyses based on Agricultural ISOBUS and ISOXML. 422–429. 1 indexed citations

5.

Kolozali, Şefki, Ralf Tönjes, María Bermúdez-Edo, et al.. (2018). Observing the Pulse of a City: A Smart City Framework for Real-Time Discovery, Federation, and Aggregation of Data Streams. IEEE Internet of Things Journal. 6(2). 2651–2668. 50 indexed citations

6.

Skármeta, Antonio, José Santa, Juan A. Martínez, et al.. (2018). IoTCrawler: Browsing the Internet of Things. 1–6. 12 indexed citations

7.

Iggena, Thorben, et al.. (2018). Valid.IoT. 294–303. 22 indexed citations

8.

Puiu, Dan, Payam Barnaghi, Ralf Tönjes, et al.. (2016). CityPulse: Large Scale Data Analytics Framework for Smart Cities. IEEE Access. 4. 1086–1108. 170 indexed citations

9.

Iggena, Thorben, et al.. (2016). Monitoring data stream reliability in smart city environments. Library Osnabrück University (Hochschule Osnabrück). 571–576. 3 indexed citations

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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