Robert Forchheimer

5.1k total citations
100 papers, 4.0k citations indexed

About

Robert Forchheimer is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Polymers and Plastics. According to data from OpenAlex, Robert Forchheimer has authored 100 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Electrical and Electronic Engineering, 30 papers in Computer Vision and Pattern Recognition and 22 papers in Polymers and Plastics. Recurrent topics in Robert Forchheimer's work include Conducting polymers and applications (22 papers), Organic Electronics and Photovoltaics (17 papers) and CCD and CMOS Imaging Sensors (15 papers). Robert Forchheimer is often cited by papers focused on Conducting polymers and applications (22 papers), Organic Electronics and Photovoltaics (17 papers) and CCD and CMOS Imaging Sensors (15 papers). Robert Forchheimer collaborates with scholars based in Sweden, United Kingdom and United States. Robert Forchheimer's co-authors include Magnus Berggren, Olle Inganäs, Mahiar Max Hamedi, Peter Andersson Ersman, Simone Fabiano, Ajmal Muhammad, Igor S. Pandžić, Georgios Zervas, Xavier Crispin and A. Pakštas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Robert Forchheimer

96 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Forchheimer Sweden 28 2.3k 1.6k 1.1k 793 350 100 4.0k
Sukhan Lee South Korea 28 2.3k 1.0× 505 0.3× 2.1k 1.9× 137 0.2× 215 0.6× 152 3.8k
Boris Murmann United States 45 6.5k 2.8× 2.0k 1.3× 6.5k 5.9× 320 0.4× 279 0.8× 236 9.7k
Jan Van der Spiegel United States 32 2.3k 1.0× 178 0.1× 1.5k 1.4× 192 0.2× 325 0.9× 208 3.7k
Hadi Heidari United Kingdom 33 2.1k 0.9× 314 0.2× 2.2k 2.0× 237 0.3× 90 0.3× 275 4.4k
Wim Dehaene Belgium 37 5.1k 2.2× 266 0.2× 1.6k 1.4× 324 0.4× 70 0.2× 359 6.6k
Zsolt M. Kovács‐Vajna Italy 24 1.2k 0.5× 574 0.4× 534 0.5× 173 0.2× 232 0.7× 64 1.9k
Franklin Bien South Korea 24 2.0k 0.9× 505 0.3× 2.0k 1.9× 38 0.0× 230 0.7× 119 3.4k
Chris H. Kim United States 39 4.6k 2.0× 268 0.2× 1.2k 1.1× 157 0.2× 65 0.2× 200 5.8k
Li‐Chia Tai United States 15 1.5k 0.7× 810 0.5× 3.0k 2.8× 103 0.1× 788 2.3× 35 3.8k
Eugenio Cantatore Netherlands 36 5.7k 2.5× 1.6k 1.0× 2.5k 2.3× 44 0.1× 269 0.8× 185 6.5k

Countries citing papers authored by Robert Forchheimer

Since Specialization
Citations

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

Fields of papers citing papers by Robert Forchheimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Forchheimer

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

All Works

20 of 20 papers shown
1.
Forchheimer, Robert, et al.. (2024). The invisible evidence: Digital forensics as key to solving crimes in the digital age. Forensic Science International. 362. 112133–112133. 8 indexed citations
2.
Gerasimov, Jennifer Y., Deyu Tu, Padinhare Cholakkal Harikesh, et al.. (2023). A Biologically Interfaced Evolvable Organic Pattern Classifier. Advanced Science. 10(14). e2207023–e2207023. 22 indexed citations
3.
Tu, Deyu, Robert Forchheimer, Jan Strandberg, et al.. (2022). High‐Gain Logic Inverters based on Multiple Screen‐Printed Organic Electrochemical Transistors. Advanced Materials Technologies. 7(10). 6 indexed citations
4.
Ersman, Peter Andersson, Roman Lassnig, Jan Strandberg, et al.. (2019). All-printed large-scale integrated circuits based on organic electrochemical transistors. Nature Communications. 10(1). 5053–5053. 216 indexed citations
5.
Larsen, Christian, Robert Forchheimer, Ludvig Edman, & Deyu Tu. (2017). Design, fabrication and application of organic power converters: Driving light-emitting electrochemical cells from the AC mains. Organic Electronics. 45. 57–64. 4 indexed citations
6.
Tu, Deyu, et al.. (2017). 2-D Drift-Diffusion Simulation of Organic Electrochemical Transistors. IEEE Transactions on Electron Devices. 64(12). 5114–5120. 31 indexed citations
7.
Muhammad, Ajmal, Georgios Zervas, Dimitra Simeonidou, & Robert Forchheimer. (2014). Routing, spectrum and core allocation in flexgrid SDM networks with multi-core fibers. UCL Discovery (University College London). 192–197. 103 indexed citations
8.
Forchheimer, Robert, et al.. (2014). A high speed 2D time-to-impact algorithm targeted for smart image sensors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9022. 90220Q–90220Q.
9.
Pandžić, Igor S., et al.. (2013). A Method for Object Detection Based on Pixel Intensity Comparisons Organized in Decision Trees. arXiv (Cornell University). 12 indexed citations
10.
Pandžić, Igor S., et al.. (2013). A method for object detection based on pixel intensity comparisons. arXiv (Cornell University). 8 indexed citations
11.
Tu, Deyu, Loïg Kergoat, Xavier Crispin, Magnus Berggren, & Robert Forchheimer. (2012). Transient analysis of electrolyte-gated organic field-effect transistors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8478. 84780L–84780L. 9 indexed citations
12.
Larsson, Jan-Åke, et al.. (2010). Modelling cell lineage using a meta-Boolean tree model with a relation to gene regulatory networks. Journal of Theoretical Biology. 268(1). 62–76. 3 indexed citations
13.
Robinson, Nathaniel D., et al.. (2008). Inkjet printed electrochemical organic electronics. Synthetic Metals. 158(13). 556–560. 88 indexed citations
14.
Nilsson, David, Robert Forchheimer, Magnus Berggren, & Nathaniel D. Robinson. (2006). The electrochemical transistor and circuit design considerations. 3. 349–352. 5 indexed citations
15.
Andersson, Kenneth, Peter Johansson, Robert Forchheimer, & Hans Knutsson. (2002). Backward-forward motion compensated prediction. 260–267. 3 indexed citations
16.
Pakštas, A., Robert Forchheimer, & Igor S. Pandžić. (2002). MPEG-4 Facial Animation: The Standard,Implementation and Applications. John Wiley & Sons, Inc. eBooks. 208 indexed citations
17.
Kervrann, Charles, Franck Davoine, Patrick Pérez, Robert Forchheimer, & Claude Labit. (1997). Generalized likelihood ratio-based face detection and extraction of mouth features. Pattern Recognition Letters. 18(9). 899–912. 14 indexed citations
18.
Li, Haibo, et al.. (1996). Automatic extraction of human facial features. Signal Processing Image Communication. 8(4). 309–326. 10 indexed citations
19.
Li, Haibo & Robert Forchheimer. (1992). Depth Independent Facial Movement Estimation. Machine Vision and Applications. 335–338. 1 indexed citations
20.
Zander, Jens & Robert Forchheimer. (1983). SOFTNET – an approach to high level packet communication. KTH Publication Database DiVA (KTH Royal Institute of Technology). 18(11). 1–2. 15 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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